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Staff Data Scientist	App Annie	Something about us... App Annie is the industry’s most trusted mobile data and analytics platform. Our mission is to help customers create winning mobile experiences and achieve excellence. We created the mobile app data market and are committed to delivering the industry’s most complete mobile performance offering. More than 1,300 enterprise clients and 1 million registered users across the globe and spanning all industries rely on App Annie as the standard to revolutionize their mobile business. We are a global company, headquartered in San Francisco but as a “remote” first company, we care about your results and not your location. Along with a market defining product, we take great pride in our culture and values and strive to embody them daily! We set a high bar for our success and have made Excellence as our standard, hold each other Accountable, continuously push Innovation and Win with Style. What you can tell your friends when they ask you what you do “I work in Data Science organization and am dedicated to initiatives under the Office of the CEO’s team at App Annie Labs. As a Staff Data Scientist, I am tasked to work with the App Annie Labs team to uncover new market opportunities, pilot our new product developments with customers, and ultimately drive the innovation and future growth of the company. I work together with early access customers, product managers, designers, and engineers to create our newest state-of-the-art products.” You will be responsible for and take pride in…. We are seeking an outstanding data scientist interested in working in the hot space of mobile and digital analytics to join the rapidly growing Data Science team at App Annie. App Annie is the gold standard for the mobile app market and first party data, leveraging a variety of data sources, machine learning algorithms, artificial intelligence, and data science methodologies to create market estimates and other KPI’s for mobile apps and publishers. We need self-driven and motivated performers to join our stellar team. Gather requirements from Product Managers, and work with Product Management to refine product concepts and implement the data modeling needed to turn them into reality Develop the heart of App Annie’s future products and Unified Data A.I. vision Create and customize models and metrics Identify relationships within large and seemingly unrelated data Deliver robust, high-quality data products Identify performance bottlenecks and provide optimization solutions Create quality indicators and diagnostics tools You should recognize yourself in the following... A passion for everything to do with data and already have top-level experience working in data modeling and quantitative analysis An ability to work independently to solve challenging problems and provide innovative practical solutions quickly and efficiently 5 years work experience, including at least 2 years performing data modeling and quantitative analysis, preferably for Internet or technology companies. Experience in financial or medical industries can also be helpful Experience with building machine learning algorithms in the advertising industry is a definite plus Excellent data science skills, including a working knowledge of several of the following statistics packages and languages: Python including scikit-learn, Zeppelin, SQL and Spark A proficiency with Linux OS Experience with data visualization and dashboard tools is a plus, such as Tableau Software. Strong presentation skills. Comfortable explaining data solutions in a business context to multiple stakeholders, e.g. product managers, senior management, etc. MS or PhD preferred in Statistics, Applied Mathematics, Computer Science, Econometrics or related field A passion for digital content and mobile apps is a definite plus The authorization to work in the U.S. This is what we have to offer… We provide a $1,000 (country equivalent) WFH allowance to set you up for remote work success. Internet allowance for stable internet connection, so your video does not freeze on Zoom. Flexible working days. We love to meet, but if you need to get your kids behind school-zoom, need to leave early to get to your band repetition or gym classes, do your thing. Paid leave, so long as you promise to come back! Health and dental benefits. An international team of talented and engaged people from different cultural backgrounds and locations. Wellbeing allowance for any activity that matters to your wellbeing; (online) gym classes, fitness equipment, mindfulness apps or even childcare support! Unlimited access to online learning platform Udemy to help you develop your skills. Virtual initiatives and events to keep you connected with your colleagues. Generous Employee Referral Program. Up to $10,000 for specific roles. Yes, I want this job! #LI-JM
Sr Manager Data Science	App Annie	Something about us... App Annie is the industry’s most trusted mobile data and analytics platform. Our mission is to help customers create winning mobile experiences and achieve excellence. We created the mobile app data market and are committed to delivering the industry’s most complete mobile performance offering. More than 1,300 enterprise clients and 1 million registered users across the globe and spanning all industries rely on App Annie as the standard to revolutionize their mobile business. We are a global company, headquartered in San Francisco but as a “remote” first company, we care about your results and not your location. Along with a market defining product, we take great pride in our culture and values and strive to embody them daily! We set a high bar for our success and have made Excellence as our standard, hold each other Accountable, continuously push Innovation and Win with Style. What can you tell your friends when they ask you what you do? As a Data Science Manager, I’m leading Data Science key contributions to App Annie’s DaaS and SaaS products. I’m responsible for piloting new product developments, overseeing the expansion and optimization of our ML algorithms and managing a team of Data Scientists to ultimately drive innovation and future growth of the company. I work closely with Product Managers, Data Scientists, Data Analysts and Big Data Engineers to coordinate and monitor execution of tasks while ensuring timely delivery on commitments and reporting to senior management. I am passionate about what I do and excited to do it in the context of an entrepreneurial start-up with a phenomenal team. You will be responsible for and take pride in…. We are seeking an outstanding Data Science Manager interested in working in the hot space of mobile and digital analytics to join the rapidly growing Data Science team at App Annie, leveraging a variety of data sources, machine learning algorithms, artificial intelligence, and data science methodologies to create market estimates and other KPI’s for mobile apps and publishers. We need self-driven and motivated performers to join our stellar team. Your tasks will include: Managing Data Scientists and Data Engineers in defining and executing tasks as part of algorithm development for new and existing products Developing the heart of App Annie’s future products and Unified Data A.I. vision Coordinating with Product Managers and Engineering leaders to refine product concepts and implement the data modeling needed to turn them into reality Providing guidance to the team in creating and customizing models and metrics Working with large, complex data sets that meet function and non-functional business requirements Designing and optimizing algorithms to accelerate value provided to customers Communicating well and clearly with teams and team members across multiple time zones and countries. Leading by example in establishing cross-functional interactions to increase efficiency of successful deliverables You should recognize yourself in the following... You should be a strong data science lead with proven experience in machine learning algorithm development You should have a passion for everything to do with data, with top-level experience working in data modeling and quantitative analysis MS or PhD preferred in Statistics, Applied Mathematics, Computer Science, Econometrics or related field At least 10 years work experience in data modeling, machine learning algorithm development, software engineering An ability to solve challenging problems and provide innovative practical solutions quickly and efficiently Demonstrated experience managing a team of data scientists to deliver quality large-scale data analysis and data products in an app analytics context Excellent communications skills, both within data science, and to external stakeholders and management Excellent data science skills, including a working knowledge of several of the following statistics packages and languages: Python including scikit-learn, Zeppelin, SQL and Spark Flexible mindset and the ability to prototype and change direction rapidly as research evolves Strong problem solving, analytical and troubleshooting skills An excellent communicator with a knack for concisely explaining problems and solutions to multiple stakeholders, e.g. product managers, senior management, etc. A strong drive to continue learning and developing Independently making decisions quickly based on your expertise Demonstrated ability to produce results as part of a highly distributed team that crosses cultural and country boundaries Energy and creativity are key characteristics that describe you and the projects you are involved in. You make it happen! This is what we offer... We provide a $1,000 (Country equivalent) reimbursable WFH allowance to set you up for remote work success. Internet allowance for stable internet connection, so your video does not freeze on Zoom. Flexible working days. We love to meet, but if you need to get your kids to school/ zoom or need to leave early to get to your band practice or gym classes, do your thing. Paid leave, so long as you promise to come back! Health and dental benefits, mental health concierge and financial planning support Wellbeing allowance for any activity that matters to your wellbeing; (online) gym classes, fitness equipment, mindfulness apps or even childcare support! Unlimited access to online learning platform Udemy to help you develop your skills. An international team of talented and engaged people from different cultural backgrounds and locations. Ample virtual initiatives and events to keep you connected with your colleagues. Yes, I want this job! #LI-JM
Quantitative Social Scientist Senior Data Scientist	Hangar	Outcome is seeking a Quantitative Social Scientist/Senior Data Scientist to develop and maintain our proprietary ISA underwriting model. This role will be responsible for implementing all computational workflows related to ISA contract design and financial evaluation. As a key member of the underwriting team, this role will be best suited to an analytical thinker with a genuine motivation to support social mobility through affordable higher education access. About Outcome Outcome is an innovative fin-tech company built on a novel financing model for higher education that ties repayment directly to student outcomes, improving alignment between students and educators and de-risking the pursuit of higher learning. We underwrite, originate, and fund Income Share Agreements (ISAs), Deferred Tuition Agreements (DTAs), and other forms of outcome-based financing. In an ISA or DTA, borrowers are required to repay their obligation once they are earning a liveable, minimum income -- and the obligation ends after a fixed period of time regardless of the amount a student has paid back. By making payments a function of post-graduation income, these contracts redistribute the risk of educational investment away from students while linking investors’ returns and schools’ revenue directly to student success. We use outcome-based financing to scale innovative and responsible models of higher education and support underserved student demographics. We drive capital to higher education partners who are dedicated to building a proven pathway to professional success for their students. Outcome was incubated by Hangar, a firm that funds and builds technology companies tackling public sector market challenges. Responsibilities This role offers an incredible opportunity for impact, building solutions to fundamental problems within the higher education system. As our Quantitative Social Scientist, you will be responsible for the critical analysis of opportunities and outcomes in the higher education landscape. • Manage Outcome’s proprietary ISA simulation and underwriting model: extend the code base to accommodate novel modeling tasks while maintaining an integrated and replicable central library. • Assist the investment team with analysis of ISA programs on an ongoing basis. Tasks include estimation of students’ academic and professional outcomes for current and prospective educational partners, financial analysis and projections, and visualization of key features of ISA performance. • Conduct computational due diligence on prospective educational partners, such as payments, graduation rates, and placement rates. • Work with the operations team to translate computational modeling into ISA contracts, communicating key contract terms drawn from simulations. This includes calculating APR caps and payment scenarios for contracts. • Build and maintain a database of student borrowers and ISA payment activity. • Maintain and innovate a data pipeline of private and public data sources to refine labor force predictions for student borrowers. • Create computationally-informed thought leadership for Outcome’s blog and external communications. About you • Analytical, detail-oriented, organized, and self-motivated, you enjoy building solutions to complex problems and evaluate your own work with a careful and critical eye. • Intrinsically motivated towards genuine impact. We’re looking for candidates with passion to make the higher education landscape more equitable and efficient and the technical skills to lead our product development. • Can demonstrate Python proficiency in a range of data analysis, visualization, and statistical modeling capacities. You are proficient in object-oriented programming. • You are communicative and able to synthesize the most important information for key (non-technical) stakeholders to ensure comprehension, both verbally and through data visualization. • You hold a minimum of a bachelor's degree in economics, data science, sociology, or finance. A graduate degree in similar fields is a plus. Additional Skills & Experience • Proficiency in git/GitHub, SQL, big data tools (such as Apache Spark, AWS). • Familiarity with Plotly/Dash visualization frameworks or similar tools. • Experience with dynamic income modeling, survival analysis, scenario analysis, sensitivity analysis, and risk assessment is a plus. • Experience in financial services, including the development of risk management tools, actuarial models, or other forms of financial modeling is a plus. • Experience working in a start-up environment, particularly within the education or fintech space is a plus. Outcome is a distributed and remote-friendly team, with headquarters in New York City. We approach capital creation with novel perspectives, and actively seek experiences and backgrounds that are diverse, nuanced, and varied. We recognize historical approaches to investing have disproportionately hurt the most marginalized of society – including black and indigenous people of color, the economically disadvantaged, women, and LGBTQ+ individuals. As such, we strongly encourage applications from under-represented candidates in the worlds of finance and technology. Interested applicants should send a cover letter and resume to [email protected]
Data Scientist	Phreesia	Job Description:Phreesia is looking for an experienced and hands-on Data Scientist to join our growing Data Science Team; someone with extraordinary analytical and technical skills who is familiar with the entire lifecycle of a data science project, from data exploration, modeling and analysis, to model selection, validation, evaluation, and deployment.You will be joining a team of especially smart, humorous, quick-witted, and dedicated coworkers, all passionate about data and improving patient access to healthcare. You will be responsible for building data products for internal consumption, near real-time business intelligence tools, and predictive models. We are looking for someone experienced in partnering with business stakeholders, translating their needs into technical solutions and answers, and then building and delivering those solutions. This role will report directly to the Associate Director of Data Science.What You'll Do Leverage Phreesia’s massive and ever-growing dataset to build data products that provide actionable business insights Optimize targeted engagement strategies through modeling, forecasting, and evaluation Develop methods to efficiently classify and characterize patient populations Navigate and use diverse machine learning stacks in Python and R Use NLP techniques to parse, process, and structure textual data Quickly prototype ideas and solve complex problems by adapting creative approaches Build customized dashboards for internal and external clients Take ownership of data products and ensure they are properly tracked throughout their lifecycle Write clean, well-tested, code that will stand the test of time Be an expert communicator: you could summarize your daily progress in a tweet What You'll Bring 2+ years of experience in an operational Data Science role. Professional command of Data Science and Machine Learning toolsets such as Python (Numpy, Scipy, Pandas, Scikit-learn), R (dplyr, tidyverse, ggplot). MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience Experience in using statistical principles to inform decision making (experimental design, significance tests, a/b testing) Excellent interpersonal and communication skills, both written and verbal Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making Strong SQL skills Experience contributing professional-level code using version control Bonus: Experience using web frameworks such as Python flask or R shiny Experience using Docker or other containerization frameworks Experience in collaborating with Data Scientists and Data Engineers to propose, test, validate, evaluate, and deploy Machine Learning models Experience using AWS services including S3, EMR, Glue, SageMaker, Redshift, and Athena Experience using Apache Spark (specifically pyspark) Experience using Apache Airflow Experience using Jenkins for CI/CD Experience using Graph and/or search databases (e.g. neo4j, elasticsearch) Healthcare experience and a basic understanding of clinical terms We strive to provide a diverse and inclusive environment and are an equal opportunity employer.Who We Are:At Phreesia, we’re committed to helping healthcare organizations succeed in a fast-changing landscape—and we need smart, passionate people to help us do it. Our innovative SaaS platform offers our clients a suite of applications to manage the intake process, giving them the tools to engage patients, improve efficiency, optimize staffing and enhance clinical care.Basically, what you do here matters, and hard work does not go unnoticed. Not only does Phreesia care about our clients, we also care about our employees. In fact, we’re a five-time winner of Modern Healthcare magazine’s Best Places to Work in Healthcare award. If you’re interested in consistent feedback and recognition, defined career paths, and the opportunity to work with driven and engaged colleagues in a dynamic industry, this may be the right opportunity for you. Benefits and Perks: Remote working environment Variety of health plan options, dental/ vision coverage, and short/long-term and life insurance plans 401(k) savings plan (USA) or RRSP plan (Canada) Employee Stock Purchase Plan Unlimited vacation  Home office set-up stipend Mobile phone stipends and Internet reimbursement 100% paid parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada Tuition and certification reimbursement, as well as other professional development opportunities   Be sure to check out our Instagram and Facebook ! We strive to provide a diverse and inclusive environment and are an equal opportunity employer.
Senior Data Scientist Product Platform	Wealthsimple	Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever. Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas. We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work. At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. About the team The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by: Building a high quality and scalable state-of-the-art data warehouse that powers all decision making Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products Using decision science to understand the cause and effect of our business decisions About the roles We are looking for a Senior Data Scientist who has strong foundations in data modelling, statistics and product analytics to work with the Product Platform team. As Wealthsimple continues to scale, our ability to enable customers to transfer assets seamlessly, understand financial data, and protect against fraud is critical. The platform organization is responsible for building the services that power all of the Wealthsimple products. These core services are shared across the platform with the goal of improving the speed at which we scale and launch new products and continue to improve our current offerings. As a Senior Data Scientist working with the Product Platform team, some of your projects will include, but not limited to: modelling verification data, drive automation, and incorporate intelligence into existing manual bank and ID verification processes by employing OCR, and optimize the bank verification process by identifying smarter ways of routing bank linking volume between third party data services such as Flinks/Plaid. In this role, you will have the opportunity to: Build and maintain new data models that are accurate and reliable Design, define, and implement metrics and dimensions to enable analysis and predictive modelling Partner with Product and Engineering teams to solve impactful problems Think outside the box and design experiments to test hypotheses Build/maintain reports, dashboards, and metrics to monitor the performance of our products Help build and lead a great data science team to deliver world-class products Get the best out of the team by leveraging their diverse educational backgrounds Teach and learn from their teammates. We value making others successful Skills we are looking for: Excellent Python & SQL skills. Strong understanding of statistics: both frequentist and Bayesian approaches Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting Strong understanding of fundamental machine-learning algorithms: regression and decision trees First hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter Excellent communicator who is able to present results and analysis to senior leadership Experience in managing team members in a formal or informal capacity It’s a bonus if you have hands-on experience with Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau
Data Science Manager Product Platform	Wealthsimple	Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever. Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas. We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work. At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. About the team The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by: Building a high quality and scalable state-of-the-art data warehouse that powers all decision making Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products Using decision science to understand the cause and effect of our business decisions About the role We are looking for a Data Science Manager who has strong foundations in data modelling, statistics and product analytics to work with the Product Platform team. As Wealthsimple continues to scale, our ability to enable customers to transfer assets seamlessly, understand financial data, and protect against fraud is critical. The platform organization is responsible for building the services that power all of the Wealthsimple products. These core services are shared across the platform with the goal of improving the speed at which we scale and launch new products and continue to improve our current offerings. As the Data Science Manager of Product Platform, you will manage and grow a team of Data Scientists and partner with the platform team to help build the best core services. This role requires partnership and collaboration across various internal teams (especially finance, operations and risk), a deep understanding of our customers, and the ability to deliver financial products and streamline complex business flows via a fantastic user experience. The perfect candidate will be scrappy, focused on results and have a demonstrated track record of driving data-informed decisions. In this role, you will have the opportunity to: Own the data science strategy for metrics and data models for the Product Platform team Build and maintain new data models that are accurate and reliable Design, define, and implement metrics and dimensions to enable analysis and predictive modelling Partner with Product and Engineering teams to solve impactful problems Think outside the box and design experiments to test hypotheses Build/maintain reports, dashboards, and metrics to monitor the performance of our products Help build and lead a great data science team to deliver world-class products Get the best out of the team by leveraging their diverse educational backgrounds. Teach and learn from their teammates. We value making others successful. Skills we are looking for: Excellent Python & SQL skills. Strong understanding of statistics: both frequentist and Bayesian approaches. Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting. Strong understanding of fundamental machine-learning algorithms: regression and decision trees. First hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter Excellent communicator who is able to present results and analysis to senior leadership Experience in managing team members in a formal or informal capacity It’s a bonus if you have hands-on experience with Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau.
Data Science Manager Cash	Wealthsimple	Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever. Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas. We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work. At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. About the team The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by: Building a high quality and scalable state-of-the-art data warehouse that powers all decision making Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products Using decision science to understand the cause and effect of our business decisions About the role We are looking for a Data Science Manager who has strong foundations in data modelling, statistics and product analytics to work on Wealthsimple Cash. Wealthsimple Cash is a mobile-first peer-to-peer payments product that allows anyone to instantly send money to friends and family for free. But that’s just the beginning. We’re on a mission to create the most human everyday banking platform in Canada: a simple, beautiful, and no-cost option that makes sending, saving, and spending money fast, fun, and rewarding. As the Data Science Manager of Cash, you will manage and grow a team of Data Scientists and collaborate with product managers, engineers, and designers to unlock unique growth opportunities for the Cash product. This includes, but is not limited to, finding innovate ways to utilize peer-to-peer network data, design experiments to test hypotheses and perform statistical analysis to inform business and product decisions. The perfect candidate will be scrappy, focused on results and have a demonstrated track record of driving data-informed decisions. In this role, you will have the opportunity to: Own the data science strategy for metrics and data models for the Wealthsimple Cash team Build and maintain new data models that are accurate and reliable Design, define, and implement metrics and dimensions to enable analysis and predictive modelling Partner with Product and Engineering teams to solve impactful problems Think outside the box and design experiments to test hypotheses Build/maintain reports, dashboards, and metrics to monitor the performance of our products Help build and lead a great data science team to deliver world-class products Get the best out of the team by leveraging their diverse educational backgrounds Teach and learn from their teammates. We value making others successful Skills we are looking for: Excellent Python & SQL skills Strong understanding of statistics: both frequentist and Bayesian approaches Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting Strong understanding of fundamental machine-learning algorithms: regression and decision trees First hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter Excellent communicator who is able to present results and analysis to senior leadership Experience in managing team members in a formal or informal capacity It’s a bonus if you have hands-on experience with Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau
Senior Data Scientist Trust Safety	Opendoor	About Opendoor: Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one. So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it. About the Role: A Senior Data Scientist focusing on trust and safety will own the future of intelligence that protects the physical security of Opendoor’s – totaling billions of dollars – housing assets. This individual will partner with Product, Engineering, and Operation teams to drive the business forward with data. They will build machine learning/optimization models to help Opendoor detect and prevent malicious activities, while ensuring safe visits for our customers and agents when occupying our homes. This individual will play a critical role in continuing to develop Opendoor's brand recognition as a safe and trustworthy platform that fulfills residential real estate needs. As a Senior Data Scientist, you will: Define the data strategy and design the next generation intelligent systems to improve our home security and operations practices Propose optimal detection sensor mixes and human-machine interacted risk prevention strategies Build models and policies to detect risky patterns from various data sources Become a domain expert in real estate and home operations We’re looking for teammates who have: Expertise in statistical inference and machine learning modeling Proficiency in working with complex and fast-evolving data sets Strong written and verbal communication skills to influence non-technical audiences with analytical insights 5+ years of industry experience post academia, with advanced degree in a quantitative field Proficiency in SQL or any other database languages and numeric programming in Python, R or other languages We’d love if you have any of the following skillsets: Fraud detection or risk management Working with hardware or sensor data Optimization of resource allocations Algorithm assisted human decision systems Practical industry experience in data science in physical security space More About Us: Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing. We Offer the Following Benefits and Perks: - Full medical, dental, and vision with optional 85% coverage for dependents - Flexible vacation policy - Generous parental leave - Paid time off to volunteer Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles. Opendoor Values Openness: Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.
Senior Data Scientist Marketing	Opendoor	About Opendoor: Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one. So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it. About the Role: A Senior Data Scientist focusing on marketing optimization will partner with Marketing, Product, Engineering, and Operation teams to drive the business forward with data. They will set up data and measurement strategies to understand the effectiveness of our marketing strategies. They will also understand marketing effectiveness through experimentation and causal inference, while building machine learning/optimization models to optimize our channel mix and targeting strategies. As a Senior Data Scientist, you will: Design the next generation intelligent systems to improve our marketing strategies for real estate customers Build models and policies to help marketing operations and marketing technology teams to achieve their business objectives Design experiments and conduct causal inference to determine the effects of our marketing investment decisions Become a domain expert in real estate We’re looking for teammates who have: Expertise in statistical inference and machine learning modeling Proficiency in working with complex and fast-evolving data sets Experience in experimental design and strong product sense Strong written and verbal communication skills to influence non-technical audiences with analytical insights 5+ years of industry experience post academia with an advanced degree in a quantitative field Proficiency in SQL or any other database languages and numeric programming in Python, R, or other languages We’d love if you have any of the following skillsets: Familiarity with state-of-art marketing optimization solutions Knowledge of vendors in the marketing science space Optimization under uncertainty and risk management More About Us: Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing. We Offer the Following Benefits and Perks: - Full medical, dental, and vision with optional 85% coverage for dependents - Flexible vacation policy - Generous parental leave - Paid time off to volunteer Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles. Opendoor Values Openness: Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.
Data Scientist	Lirio	Who We Are:Lirio is the leader in behavior change AI, combining behavioral science with artificial intelligence to move people to better health. Through Precision Nudging™, our intelligent behavior change journeys assemble and deliver tailored, behavioral interventions to overcome unique barriers to engaging with and acting on health recommendations. By scaling personalized interventions, our clients deliver patient and member-focused experiences that initiate and drive sustained behaviors across their entire population, optimizing engagement, closing gaps in care, lowering costs, and measurably improving health outcomes. Who You Are:You’re passionate about transforming people’s health through technology. You’re looking to be part of a dynamic organization that moves quickly, where you can learn and grow and work alongside colleagues to develop and improve our solutions. You have a growth mindset and seek progress over perfection. What You'll Be Doing:The Data Scientist is responsible for the development and technical implementation of approaches to data analysis and visualization across Lirio’s Behavior Change AI Platform. This role will involve working closely with behavioral scientists, computer scientists, machine learning engineers and data engineers to design methods, systems and visual analytics that will enable the derivation of insights into the efficacy of Lirio behavior change programs, platform operations and machine learning workflows. Tasking for this position will include exploratory data analysis, analytics code development, visual analytics design and development, and contributions to the Lirio Analytics and Reporting Roadmap. Additionally, this role will embrace Lirio’s culture of cross-team collaboration and work closely with Lirio leadership in shaping our data science strategy. The role requires a forward-thinker who is curious about technology and will help Lirio adapt and evolve as technology and customer needs constantly change. Analytics Development (60%)• Develop and implement analytic insights into the engagement efficacy of the behavioral science libraries and machine learning workflows in the Lirio AI Behavior Change Platform.• Design and implement interactive visual analytics that allow internal and external users to evaluated and analyze the Lirio Platform and its engagement performance. • Contribute to the design, implementation and analysis of Randomized Control Trials (RCTs) for evaluation of engagement performance.• Contribute to the Lirio customer reports and marketing materials using developed analytic approaches.• Adheres to the company’s overall software quality, cadence and delivery lifecycle through automation and CI/CD pipelines using DevSecOps methodologies. Applied Data Analytics Research (10%)• Research/develop approaches to analysis and visualization of health care engagement data, relating demographics and behavioral science factors to client/program outcomes.• Contribute to Lirio technology roadmaps. Analytics Operations (30%)• Support new clients/programs onboarding processes by translating client requirements into technical executable processes. Required Qualifications:• Bachelor’s degree (Master’s preferred) in Computer Science, Engineering,Mathematics, or a related field.• 3+ years of experience developing software, competency with python preferred.• 3+ years of experience developing analytics for insight into complex data.• 3+ years experience developing visual analytics in javascript/D3• Experience developing with data science and machine-learning software libraries preferred, such as pandas, Tensorflow, R, or PyTorch.• Experience with application development frameworks, Angular preferred.• Experience with database technologies, data warehousing, and hands-on experience writing SQL queries.• Experience using build tools with continuous integration or continuous delivery. • Strong understanding of the agile software development process. • Experience with cloud service technologies, specifically AWS. Perks• Competitive compensation• Developmental opportunities to grow your career• Comprehensive benefit package• 401K matching (immediately vested)• Flexible/Unlimited PTO• 10 Paid Holidays• Strong emphasis on work-life balance
Senior Data Scientist	Devoted Health	A bit about us: We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being. Why Devoted: Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve. A bit about this role: The Senior Data Scientist will serve as a liaison to our Operational teams to answer important and timely questions about the health of the business; build robust data pipelines that underpin data-driven products and operations; and drive a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. You will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company. We are looking to fill two roles. One that is focused on Risk and another that is focused on Clinical. The Risk Data Scientist will help lead the organization in understanding member clinical acuity as defined by CMS RAF score. This person will become an expert in all things related to Risk, including RAF, Clinical Suspecting logic, Predictive Modeling, and CMS Funding. This is a high profile role working to improve a function which is core to Devoted's success. The Clinical Data Scientist will help lead the organization in understanding how well our clinical programs are working, which patients we should target for which programs, and help identify our members who are most at risk. This role will interface close with our CMO and other clinical leaders to help answer questions related to our members well-being. Responsibilities will include: Working closely with key business stakeholders to understand the analytical needs of the business and providing insight in a rapid, iterative, and collaborative process Developing thoughtful reports and dashboards that help Operations teams improve their business decision-making Identifying patterns in the analyses you conduct, and using those patterns to improve our tools and processes so we can deliver results more quickly and accurately Communicating results to an audience of mixed technical backgrounds Required skills and experience: Ability to work in a fast-paced startup environment 5+ years of individual technical contributor experience Experience collaborating effectively with stakeholders Advanced SQL skills Experience with Python or R Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis to influence the business #LI-BC1 #LI-Remote If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you. Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business. As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
Sr Data Scientist	Civis Analytics	What we do Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes. This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on. We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions. Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data with integrated open source tools. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack. Learn more about Civis at www.civisanalytics.com. All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles. Responsibilities Helping to design, build, document, evaluate, and maintain statistical models and related data pipelines Working on a cross-functional team with other data scientists, engineers, a product manager, and a designer to develop data science products Following best practices with respect to engineering standards, including data privacy and security Minimum Qualifications A Master’s/Ph.D. in a quantitative field, or equivalent work experience in data science, statistics, or machine learning Work experience related to data science, statistics, or machine learning. This could include research work in a PhD program. Familiarity and willingness to work with the Python and R programming languages US work authorization Preferred Qualifications Extensive experience with any of the following: Machine learning engineering (e.g., developing and maintaining models in production) Survey analysis methods (e.g., survey weighting) or causal inference methods Political data or government data (e.g., Census Bureau data) Extensive experience developing software in Python and R Who we are Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are. We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow. Why join our team? The opportunity to be part of a growing tech organization focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace. Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.  To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities. Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected]. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. EEO IS THE LAW EEO Supplement Pay Transparency
Principal Data Scientist Senior Manager	Aimpoint Digital	Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data analytics, data science, data engineering and infrastructure. This position is within our data science practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do  As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. A Principal Data Scientist will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will proactively research and apply knowledge within the data science space to deliver best-in-class solutions. You will lead both small and large teams over the entire data science lifecycle – from problem definition to model automation and deployment. A Principal Data Scientist will also manage all aspects of client relationships and create value-driving initiatives for the company. Who we are looking for  We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. Expert in descriptive statistics and statistical methods with applications in machine learning (e.g., correlation, regression, clustering) Highly proficient with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and NLP. (Optimization and simulation experience preferred) Practical programming experience in Python, R, MATLAB, Spark/PySpark, SQL, and/or other related programming languages Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results 5+ years of practical data science experience 5+ years of consulting experience (preferred) MSc/PhD in a STEM-related field Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Experience in automation and deployment of models using Sagemaker or AWS, or a relevant alternative Comfortable with learning networks using tensorflow or pytorch Familiar with data visualization platforms such as PowerBI and Tableau Willingness to travel We are actively considering applicants that are fully remote within the US.
Chief Data Scientist	Moonshot Brands	About Moonshot Brands We are Moonshot Brands, a Y-combinator-backed company (W21) with $160M in debt and equity funding from leading Silicon Valley VC firms, including Victory Park Capital, Liquid 2 Ventures (Joe Montana), and Garage Capital. Among our founding team of MIT Sloan and Wharton graduates, we have operated and sold five businesses and have come together as Moonshot Brands to acquire, operate, and grow profitable e-commerce brands. From our experience, we want to build the acquisition process that we wish we could have had and to provide the post-acquisition resources to grow your business to the fullest potential. As entrepreneurs ourselves, we believe in empowering our founders, giving them a stake in Moonshot’s continued success, and collaborating with an all-star team to change the e-commerce landscape. We connect our portfolio to growth capital, data, and expertise in operations, marketing, supply chain management, and product development to provide owner-operators with infrastructure to grow and compete at scale. At the same time, we believe in our entrepreneurs and want to keep them engaged in the shared success of Moonshot Brands by offering meaningful equity tied to Moonshot’s mission. Moonshot is building a technology-centric ecosystem to provide our portfolio with cutting-edge tools and data-driven insights to succeed in global marketplaces. From inventory forecasting to performance marketing and automations, we are building the technology that allows brands to achieve peak performance and win in their markets. If you’d like to be part of this Moonshot which will be a fun fast-paced rocketship that will drive the future of e-commerce brands and you think you add significant value to our mission we’d love to hear from you. About The Role Moonshot Brands is seeking a high-performing Data Scientist to support both our internal and portfolio company operations. In this role you will work to uncover patterns and generate insights by building and deploying predictive machine learning models that assist with our sourcing and optimization of portfolio company sales, marketing and operations. The candidate will have exposure across all of Moonshot’s portfolio companies and create broad top-down strategies as well as brand specific solutions based on analytical rigor. The Data Scientist will also provide perspective on Moonshot’s collection of data that will be analyzed to inform future business decisions. This role requires a high level of autonomy. Responsibilities include: Setting strategies for data collection, maintenance, analysis and utility of insightsIdentifying business problems to solve with data-driven approachesOverseeing machine learning, AI and algorithmic development that automates various aspects of our deal operations and portfolio operations workflowsAnalyzing sales, marketing, logistics and other operational data to generate insights on opportunities for improvementDesign and implement algorithms to tackle a wide variety of datasets using open source libraries, third party API’s and in house developed algorithmsAnalyzing marketplace data to identify potential opportunities for acquisitionReporting on patterns and insights to cross-functional teams of M&A professionals, operators, and e-commerce brand foundersEstablish partnerships with technology and data vendors that aid in accomplishing Moonshot’s analytics strategyIdentify opportunities for continuous improvement to processes and propose solutions to be implementedFoster effective dialogue with cross-functional teams to facilitate processes. Anticipate needs and challenges and provide seamless solutionsEnsure all activities are in compliance with applicable rules, regulations, policies and proceduresAdditional responsibilities as requested Qualifications 5+ years of proven experience as a Data Scientist, similar role or career progression.Experience working as a data scientist in CPG/Retail/e-Commerce companiesDeep knowledge in statistics, Machine Learning and Time Series Forecasting/AnalysisKnowledge of data management, data engineering and visualization techniquesExperience in writing complex SQL queries and working in a multi-database environmentRelevant scientific academic background - ability to read and implement insights from academic papersKnowledge in building production-ready code (Object Oriented, Design Patterns etc.) - a plusExperience with Big Data technologies such as Spark, Hadoop, Hive - a plusExperience in building NLP models incl. relationship extraction, entity extraction, topic modelling etc. - a plus Bachelor’s Degree in Computer Science, Engineering, or related field requiredDetail-oriented with strong analytical abilitiesExcellent mathematical, writing, verbal and computer skillsAbility to adapt to new tasks with little noticeEffective leadership and coaching skillsStrong desire to winSound judgementDeep, sophisticated understanding of accounting and financeCommitment to satisfying internal and external customers Moonshot Brands welcomes all and is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or other applicable legally protected characteristics.
Lead Data Scientist	Doorstead	Company Doorstead is on a mission to revolutionize the property management industry with modern technology and data-driven pricing. The Team The Data Team at Doorstead works with the Product and Engineering teams to design, experiment, and deploy machine learning products to provide industry-leading service to our owners and tenants. The Role We’re seeking a mid-level Data Scientist to join our small but growing Data Team. You should be able to be a project lead, making key decisions through all phases of a project, including exploratory analyses, prototyping, testing, and presenting your solution to business stakeholders. The ideal candidate will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—while keeping an understanding of the business case in mind. You should be a problem solver and a fast learner. Since we are a small company in the rapid-growth stage you should also have a keen sense of when to sacrifice predictive accuracy for a more rapid and simple solution. Responsibilities Leading projects from start to finishWorking with our Engineering team to ensure Data Science team is getting the proper supportSelecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company's data with third-party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear manner Skills and Qualifications Required Bachelor's degree and 3-5 years of professional experienceGreat communication skillsExperience with data visualization tools, such as Plotly, Seaborn, matplotlib, ggplot2Proficiency in using query languages such as SQLExcellent scripting skills (preferably with Python and Pandas toolkit)Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.Data-oriented personality Nice-to-have Excellent understanding of machine learning techniques and algorithmsFamiliarity with Airflow, MLFlow, CatboostFamiliarity with object-oriented programming in Python (classes, inheritance, etc.)
Data Scientist Associate Level	Doorstead	Company Doorstead is on a mission to revolutionize the property management industry with modern technology and data-driven pricing. The Team The Data Team at Doorstead works with the Product and Engineering teams to design, experiment, and deploy machine learning products to provide industry-leading service to our owners and tenants. The Role We’re seeking an Associate Data Scientist to join our small but growing Data Team. The ideal candidate will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—while keeping an understanding of the business case in mind. You should be a problem solver and a fast learner. Since we are a small company in the rapid-growth stage you should also have a keen sense of when to sacrifice predictive accuracy for a more rapid and simple solution. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company's data with third-party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear manner Skills and Qualifications Required Bachelor's degree and 2-3 years of professional experienceGreat communication skillsExperience with data visualization tools, such as Plotly, Seaborn, matplotlib, ggplot2Proficiency in using query languages such as SQLFamiliarity with Python and PandasGood applied statistics skills, such as distributions, statistical testing, regression, etc.Data-oriented personality Nice-to-have Excellent understanding of machine learning techniques and algorithmsFamiliarity with Airflow, MLFlow, Catboost
Senior Data Scientist Product	Cameo	At Cameo, we make impossible connections possible. Our global platform allows fans to get personalized messages from their favorite stars and creators and through our Cameo for Business platform, all companies can now leverage the power of celebrity at scale. The key to our success? Our outstanding Cameo Fameo. The people behind the scenes, spreading joy to our talent and their fans - as well as their fellow colleagues - each and every day. From product marketers to talent relations managers, software engineers and recruiters, the Cameo team is made up of the brightest minds in the biz. As we grow, our core values and startup mentality remain; we value creativity, hard work, collaboration, direct dialogue and feedback, and the continued development of our people. We are a fully distributed, highly connected company (TL;DR no company offices < plenty of company gatherings). For more information, please visit careers.cameo.com. Our team is guided by four core values, and we like to share them early on to set the stage! Roll out the Red Carpet - Do you welcome everyone just as they are? Make it Memorable - When was the last time you said, "wow, that sh!t was cool!" Run Through Walls - How do you create purpose from challenge? Fight for Simplicity - Get comfortable with saying no and intentional when saying yes. A few more things to consider: 👋 Our employees are called the Cameo Fameo, and our team means everything to us. Join smart, curious, humble individuals from all over the world and experience what it’s like to love where you work. 🏆 Humble brag - we’re honored to be named one of LinkedIn’s Top 50 Startups to Work For, voted one of America’s Best Startup Employers by Forbes, the #1 Most Innovative Social Media Company by Fast Company, and recently raised a $100M Series C. 🌎 Trade those commute hours for more time to do what makes YOU happy. We're a Work From Anywhere in the U.S company, with an entirely distributed team, so as long as you’ve got WiFi, you’re perfect to us. Don’t worry, we find ample time throughout the year to come together and celebrate our wins IRL! 🎁 The goods - competitive salaries, equity, health insurance, 401(k), wellness perks, unlimited PTO, Heads Down Hump Days 🐪 (aka no recurring meetings), and an annual talent show that will have you LOL-ing - just to name a few. Oh, and did we mention Cameo works with noteworthy actors, athletes, musicians, your favorite creators, global superstars, famous furry friends and more!? About the role: Come join us in our mission to create the most personalized and authentic fan connections on earth. We are looking for an experienced Senior Data Scientist to partner with our Algorithms product team building the data products that power our search, ranking, and pricing algorithms. This role will report into the Director of Product Data Science and will work closely and be a core thought-partner to the cross-functional team including product managers, technical engineering leads, and data scientists across our organization. This person will be responsible for surfacing critical insights to support product development and iteration. In addition, they will also own setting success measures, designing and evaluating A/B tests, and helping implement analytical infrastructure to support the needs of the business. The ideal candidate will have strong technical, analytical and problem solving skills. This person will apply a hypothesis based approach and apply strong business intuition in their day-to-day work. They would have eagerness to work cross-functionally, curiosity to learn more every day, and patience to work through difficult problems to ultimately inform and influence product decisions. What you’ll be doing: Drive insight and innovation as a part of our Algorithms cross-functional team, working with product managers, engineers, and data scientists; Use the analytical perspective to inform the road-map of the cross-functional team, and help drive a ruthless focus on the most impactful ideas. Help the cross-functional product team define and measure success; Own defining metrics and KPIs, socializing them across the organization; Help the team understand whether what it is doing is moving the needle on its success metric Partner with Data Platform to implement / construct, but serve as the expert for the success metrics by understanding how data collection is instrumented in the product, how it flows through our ETL pipeline and is aggregated, and how metrics are defined in our analytics platform. Design (and construct as needed) the core dashboards, visualizations and analyses to help stakeholders monitor product health and make better decisions Proactively explore data, and alternatively for incoming requests, navigate ambiguity and formulate hypotheses; Conduct quantitative analysis of user behavior to uncover issues or opportunities to improve the business and user impact of our search, ranking, and pricing algorithms to inform specific, near-term actionable experiment designs or product decisions or longer term product strategy; Partner with Product and produce analysis to inform estimated feature success. Own the design, execution, and analysis of experiments to enable data-driven decision making; Design rigorous experiments based on hypotheses from strategic analyses; Analyze the results of experiments to determine what should launch or not. Learn from and iterate on those experiments by identifying additional opportunities to drive growth. Communicate insights to stakeholders distilling complex analysis into accessible learnings, with a data-driven point of view and plan for action. Deliver effective presentations to influence multiple levels of stakeholders. Be a driving influencer on the use and application of analysis; deliver what’s needed, and show what’s possible; Be an advocate for analytics by educating and advocating for data driven decision making What you bring to the table: 5+ years experience working in the product analytics space Strong experience designing and assessing the impact of A/B experiments in a product development cycle Ability to write performant, complex SQL queries combining multiple sources of data Confidence using a variety of analytical and statistical techniques Knowledge of analytical tools such as Amplitude, Tableau, Looker, Git , DBT, or similar; Bonus points for strength with R / Python Practical experience in a business environment influencing decision making with data Excellent communication, storytelling, and collaboration skills Enough laziness to find a faster way to do your least favorite tasks Humility and compassion; Sense of humor and a strong work ethic Above and beyond qualifications: Passionate about the role of data in helping solve complex questions Demonstrated passion for building products that delight customers and drive their success Experience working at, or strong understanding of, a 2-sided marketplace business ‘What’s right for the business’ mindset, ‘hypothesis first’ approach to defining and solving problems History of proven success (progressive career, promotions, etc), and ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment Passion for Cameo; Ability to adapt to a culture of an ever-growing rocketship company that embraces and commits to change Cameo is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment for every person who walks through our doors. All employment is decided on the basis of qualifications, merit, and business need. Cameo celebrates and embraces diversity. Please consult the Notice to California Residents contained in Cameo's Privacy Policy available at https://www.cameo.com/privacy for information regarding your rights under the California Consumer Privacy Act if you are a California resident. We are working on becoming compliant with Colorado regulations. Until then, this role can not be performed in Colorado.
Senior Data Scientist	Trueaccord	Why TrueAccord? TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process. With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries. The Opportunity: TrueAccord is looking for a Senior Data Scientist to join its growing Data Science team. You will join a team dedicated to creating a data-driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collection process for our consumers, lead automation initiatives in the company, and help create insights to better understand our product and performance. As a team member, you will build machine learning models that optimize and elevate our automated debt collection strategy. You will work closely with engineers and product team partners to identify and prioritize machine learning-based projects destined to have the highest impact on external and internal customer experience. We’re looking for a driven, self-sufficient, seasoned data scientist who can run with a project from conceptualization to production. You should have an excellent grasp on core machine learning techniques and a product focused mindset. You should be passionate about using data to create positive customer experiences and determined to have a huge impact at TrueAccord. What You’ll Do: Develop and maintain machine learning algorithms Apply data and algorithmic thinking to address business and domain problems Work cross-functionally to identify high impact business needs and translate them into technical requirements Manipulate and curate data sets for analysis and model training What We’re Looking For: Minimum 3 years of data science experience, with focus in machine learning Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, Keras, etc) Great foundational skills: Python, pandas, SQL Advanced degree in statistics, applied mathematics, computer science or equivalent Ability and desire to educate the rest of the company in data science concepts and techniques Bonus Points: Excellent cross-functional communication skills with technical and non-technical partners Solid understanding of experiment design Experience with natural language processing techniques FinTech background Benefits, Perks, and Culture - Everything you need to work remotely - Work with talented and motivated people in a fast-paced, mission-driven environment - Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance - Family-friendly policies - parental leave, flexible work from home - Unlimited PTO - Transportation benefits - Paid time off to do volunteer work in your community! We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference. Our Dedication to Diversity & Inclusion TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Scientist	Trueaccord	Why TrueAccord? TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process. With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries. Your Role: TrueAccord is looking for a data scientist to join its growing Data Science team. You will join a team dedicated to creating a data-driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance. As a team member, you will build machine learning models that optimize and elevate our automated debt collection strategy. You will work closely with engineers and product team partners to identify and prioritize machine learning-based projects destined to have the highest impact on external and internal customer experience. We’re looking for a driven, self-sufficient data scientist who can run with a project from conceptualization to production. You should have an excellent grasp of core machine learning techniques and a product-focused mindset. You should be passionate about using data to create positive customer experiences and determined to have a huge impact at TrueAccord. What you'll do: Develop and maintain machine learning algorithms Apply data and algorithmic thinking to address business and domain problems Work cross-functionally to identify high impact business needs and translate them into technical requirements Manipulate and curate data sets for analysis and model training You have: Advanced degree in statistics, applied mathematics, computer science, or equivalent Minimum 1-3 years of data science experience, with focus in machine learning Strong foundational skills: Python, pandas, SQL Hands-on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc) Ability and desire to educate the rest of the company in data science concepts and techniques You might also have: Strong cross-functional communication skills with technical and non-technical partners Solid understanding of experiment design Experience with natural language processing techniques FinTech background Benefits, Perks, and Culture - Everything you need to work remotely - Work with talented and motivated people in a fast-paced, mission-driven environment - Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance - Family-friendly policies - parental leave, flexible work from home - Unlimited PTO - Transportation benefits - Paid time off to do volunteer work in your community! We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference. Our Dedication to Diversity & Inclusion TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Scientist Decisions	Crisis Text Line	Role As a Data Scientist, you will partner closely with a cross-disciplinary group of staff, including a mix of engineering, product, data, coaching, and clinical staff, to collect, analyze, and share evidence that will inform critical business operations decisions and organizational storytelling. In particular, you’ll work on 6 high-level stages that will help move your stakeholder groups toward evidence-informed actions: data collection, availability, methodology of analysis, access, analysis, and interpretation. Through this work, you’ll help to create a culture of evidence-based decision-making that will increase our organization’s impact on our mission of supporting people in crisis. Responsibilities In partnership with stakeholders, identify and implement new metrics and improve old metrics to reveal or monitor organizational challenges or opportunities; Develop and maintain dashboards and other visualizations that track performance metrics and show where we can improve our service; Use a mix of research methods, including regression analysis, survey design, qualitative research, literature reviews, and A/B testing to generate evidence and insights; Be a strategic partner and work with stakeholders to connect analysis to key decisions that affect the organization. Our team’s output is analysis, but our outcome is impact; Evaluate new products and programs alongside stakeholders (eg, a new volunteer communication strategy); Clarify what conclusions the team can draw from what may be imperfect data, and maximize team learnings; Provide peer-reviews that ensure we are producing valid, reliable, and interpretable analyses; Consider ethics, equity, security, privacy, and confidentiality, in all work; Spread knowledge, provide mentorship, and promote research best practices; Learn from your colleagues, stretch yourself, and grow as a scientist and teammate; Manage your time successfully by focusing on priorities, and delivering on deadlines. Qualifications 2+ years of relevant experience Proficiency in SQL and experience with at least one of the following statistical tools: Python, R, SPSS, STATA, or SAS Experience using mixed research methodologies, including two or more of the following: survey design, qualitative research, A/B testing, statistical methods, machine learning. Experience building charts in visualization tools like Sisense, Looker, and/or Tableau. Understanding of essential scientific and research principles and how to apply them, e.g., the scientific method and hypothesis testing, forms of research bias, experimental design, types of variables, privacy and confidentiality, ethical research.
Data Scientist	Mindoula Health	We are seeking a talented Data Scientist who has a passion for solving business problems by providing data insights through data modeling and analysis. You’ll partner directly with senior leadership and data/technology teams to understand and solve complex business problems by developing data models and various techniques to analyze the health populations. How will you contribute; Derive insights from data analysis and modeling using multiple datasets, derived from the company platform, data provided by our customers, etc.Develop a comprehensive profile of the patient/member using the data available.Apply statistical techniques to understand health data and analyze outcomes.Apply data science algorithms and techniques to understand the member profile and prepare the data such that these insights help the care management team in addressing the needs of our customers and members.Be part of the data team, collaborate with product and engineering teams in developing the data required to support the functionality and new features of our platforms.Must be self-driven and a quick learner.Requires strong problem-solving, analytical, and communication skills.Healthcare data experience (claims, groupers) is a plus. Technologies: Data science: Analysis/Machine learning/AI algorithms and modelingData Platforms: Spark, Python/ScalaStrong SQL experienceDatabases: Postgres, Microsoft SQL ServerHosting: Microsoft AzureTools: Github, CircleCI, CodeClimate What will make you successful; Minimum 3 years of experience in professional healthcare data science experience Mission-Obsessed Teammates: It all starts with a team of humble colleagues who care passionately about our clients, our mission, and each other. We approach our work as an act toward a revolution in healthcare. From clinicians to data scientists to engineers, everyone at Mindoula plays a critical role in leading members through a journey of healing and transformation. What we offer: Insurance: Medical, dental, and vision insurance for you and dependentsPaid Time Off, Holiday, Sick, and VacationWellbeing: Employee Assistance Program and Wellness programs available to you and dependentsCulture: We work with and for each otherFreedom: Design your own workday - we’ve been remote-first from our foundingResponsibility: You get what you need to excel (MacBook, iPhone, remote technologies) Who We Are: We launched Mindoula because each of us has had personal experience with mental illness, either directly or through a loved one. We realized that the behavioral health system was broken and decided to take it upon ourselves to fix it by focusing on the people we serve, not their diagnoses or symptom sets. Each of us, and everyone we serve, is a person first, and a set of challenges second. What We Do: We address the full range of behavioral health challenges. We deploy tech-enabled teams of case managers, care managers, community health workers, peer support specialists, and psychiatrists to provide 24/7 support to even the most complex and underserved behavioral health populations. Our member engagement and predictive analytics technology platform has made the company a market leader in hospital re-admissions reduction, collaborative care, care coordination for the seriously mentally ill, and measurement-based psychiatry. Our Commitment to You: Our Talent Team is committed to the fair and timely assessment of every candidate. Mindoula Health is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, gender identity, pregnancy (including childbirth, lactation, and related medical conditions), marital status, sexual orientation, gender identity, credit history, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status, or any other status protected by federal, state, or local laws. Come be part of the solution! #ZR ITDS04
Senior Data Scientist	Steady	Location: Remote Steady is seeking sharp, highly-motivated data scientists who are excited to play a major role in building high-impact data-backed products and intelligence-powered engines. We are looking for product-focused, results-oriented data scientists who thrive in a collaborative, team-focused culture. You will work closely with data engineers, data operations professionals, analysts, product managers, business stakeholders, and your team to help define, implement, and ship meaningful automated data intelligence that powers Steady’s mission-driven products. Responsibilities of a Senior Data Scientist Design, develop, and deliver creative, insightful, high-quality, well-tested, documented, and sensible data science solutions to address high-impact technical challengesCreate, maintain, evolve, and improve Steady’s data augmentation and intelligence capabilities, in batch mode, microservices, and real-time data processing pipelinesEngage in all relevant phases of the agile software development lifecycle in a cross-functional team setting, while building our impactful data capabilitiesPartner with data engineers, data operations professionals, and senior leadership to define and refine our data science technology and quality monitoring choicesCollaborate with data engineers, data annotators, and analysts to define and build complex data sets that can be used to solve difficult problemsCollaborate with the growth team to analyze market-based tests and other challengesHelp define, implement, and reinforce data science best practices and processesContribute to Steady’s technical and scientific vision Skills & Requirements Significant data science experience (3+ years with PhD, 5+ years with MS or equivalent)Experience with a broad range of data science tools, including data analysis, machine learning, statistical modeling, and data visualizationDemonstrated proficiency developing prototype software in Python, R, or Java, with a strong understanding and command of common libraries in a common data science stackExperience working with a variety of data formats and types, preferably at scaleDemonstrated proficiency with SQL and NoSQL databases, plus data warehousing conceptsAbility to thrive in a fast-paced and dynamic environmentAbility to work well in teams of all sizes with representatives from a diverse set of technical backgroundsPreferred: Experience in a data science development environment such as Sagemaker or Databricks, including tools like MLflow and Spark-based development, or equivalentNice to have: Experience with graph-based machine learning and/or NLPNice to have: Experience developing scalable production software in Python or Java, including experience with microservices and test-driven developmentRelevant advanced degree in a quantitative field, including Computer Science, Physical Sciences, Mathematics, Statistics, and Operations Research, or equivalent Benefits We value our Steady Team Members and are committed to their success. We offer competitive compensation packages and a 100% company-paid benefits package including medical, dental, and vision. Steady is a relaxed, casual work environment with flexible hours and there is a weekly meal stipend. We also offer a generous PTO plan, 401K match, and future growth opportunities within the company. We strive to maintain a positive and fun environment for our employees where people can learn and grow with the company. About Steady Steady is a mission-driven business that helps people earn more. Through the free Steady app users can build & track income, and increase buying power – allowing them to augment retirement savings, work around childcare responsibilities, pay down debt, save for purchases, and supplement their income from primary employers, while limiting their income volatility and better positioning themselves for access to a sustainable financial services ecosystem. Every Steady member will build something different. We celebrate those who take the initiative to create a path that works for them. Whatever that looks like, Steady is there to support it, providing a stable foundation that allows people to build financial success over a lifetime. About Steady Income Passport Income Passport is a new Steady product designed to facilitate income verification for 1099 and mixed-income earners for government assistance programs like unemployment, Medicaid, Disaster Relief, and SNAP (to name a few). With countless applications beyond the government sector, from tax preparation to proof of employment, Income Passport aims to be the go-to source for all income verification needs. Through automation and a proprietary process, Income Passport compiles users’ income and payroll data into a single digital document that can be easily sent or shared as needed. With Income Passport, Steady is bringing income verification into the future. Mission: Steady turns the tables by putting workers back in charge of their financial future with an income-building platform that creates financial stability and helps its users to take charge of their future. For more information, visit us at www.steadyapp.com or on Twitter @TheSteadyApp. Steady, Platform Inc. (Steady) is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Statement to ALL Third-Party Agencies and Similar Organizations: Steady accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Steady employees, Steady hiring manager, or send to any Steady facility. Steady is not responsible for any fees or charges associated with unsolicited resumes.
Product Data Scientist Senior And Staff Levels	Mozilla	At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help. As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on real-world data. You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products. The Role As a Data Scientist at Mozilla: You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends. You build key data sets to empower operational and exploratory analysis. You advocate for standard methodologies across the organization. You own the definition, evaluation and reporting of key product metrics. You communicate narratives with data to many audiences, ranging from product managers to technical leads. You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy. Your Professional Profile You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture. Ideally, you have prior experience with Internet data or any large, high-dimensional data set. Experience comes in all forms and personal projects count. We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline. You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R. You also desire to gain further technical experience on the job. You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts. You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives. You consider contributing to a collaborative and open team culture an important responsibility. About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: D #LI-REMOTE
Inference Data Scientist Staff Level	Mozilla	Now more than ever, the Internet is a utility that facilitates modern life. At Mozilla, we take this to heart, striving to build products that keep the Internet open, accessible, and secure for everyone. We collect terabytes of data every day from millions of users to guide our decision-making processes. We need your help to enable the future of Mozilla in a way that makes us proud! As a Data Scientist within the Data Org, you will work as part of a cross-functional team that is responsible for understanding and empowering the future of Mozilla. The Role The Data Science team sits at the intersection of finance, business, operations, product, engineering, and leadership. We collaborate closely with these partners to provide meaningful insights. As a Data Scientist at Mozilla you will: Apply a variety of statistical methods including causal inference to understand the intricate ecosystem of our users, products, partners, revenue Build key data sets to empower operational and exploratory analysis Define, evaluate and report on key business metrics Generate data-informed insights and communicate these data stories to colleagues to influence decision making across Mozilla Contribute to the team through mentorship, technical methods, improvements in how we work Your Professional Profile You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture. You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 2+ years of experience applying these skills in an industry setting. You have experience in SQL or SQL-like environments, as well as scripting languages such as Python or R and desire to gain further technical experience on the job. You have owned complex projects from inception to completion and your work has influenced entire organizations. You’ve contributed to and executed against data science roadmaps in collaboration with others. You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance. Experience synthesizing product and revenue data is a plus! About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: C #LI-REMOTE
Data Scientist	Pluralsight	This position is also available for employment in these areas:Draper UT, Remote - USAJob Description:At Pluralsight, we are an established team of collaborative data scientists supporting decision makers across the company. We work closely with operational teams to gain a broad understanding of the company’s data science needs. We ask an ambitious question: how can data science optimize key results? The sophisticated challenges require a variety of data science methodologies to address them. This is an exciting role! Our work has a measurable impact on improving business outcomes.WHO YOU’RE COMMITTED TO BEING:- Strategic problem solver who understands how data science solves business problems - Interpreter who finds trends and patterns in disparate data- Creator of models, analyses, and visualizations- Communicator able to translate technical details into business insights- Partner to internal customers who share high-value business objectivesWHAT YOU’LL OWN:- Discovery of opportunities for applying data science- Cross-functional project collaboration on data science results- Development and implementation of analyses and predictive models- Continuous testing and improvement of deployed solutions- Distillation of algorithms to business leaders, eliminating “black box” distrust- Presentation of results to company leadersEXPERIENCE YOU’LL NEED:- 1-2 years of professional data science experience- Coding with scientific languages (Python, R)- Using SQL and relational databases as well as big data platforms (Spark, Hive)- Producing effective and interactive data visualizations (Tableau, Shiny, D3)Be yourself! Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.#LI-TC1#LI-Remote
Data Scientist Skills Product Platform	Pluralsight	Job Description:At Pluralsight, you will be part of an established team of collaborative data scientists supporting our Skills product platform. You will work closely with multiple teams to identify and implement improvements to our Skills platform powered by data science. This role is a good fit for hands-on data scientists who enjoy experimenting with new ideas and working with cloud computing technologies. That’s you, right? Who you’re committed to being: Critical problem solver who understands how data science can solve business problems Interpreter who finds trends and patterns in disparate data Independent creator of models, analyses, and visualizations Communicator able to translate technical details into business insights Partner to internal stakeholders who share high-value business objectives What you’ll own: Applying data science to content search and discovery challenges Cross-functional project collaboration on data science deliverables Development and implementation of analyses and predictive models Continuous testing and improvement of deployed solutions Explanation of algorithms to business partners, eliminating “black box” distrust Presentation of results to business partners and company leaders Experience you’ll need: Applying statistics and data science theories and techniques Working with popular data science languages and tools (Python, R, Jupyter Notebooks, scikit-learn, pandas, tensorflow, pytorch) Using SQL and relational databases as well as big data platforms (Snowflake, Kafka) Producing effective and interactive data visualizations (Tableau, Shiny, Dash) Preferred but not required: Familiarity with cloud computing (AWS), Airflow, NLP, and recommender systems Working at PluralsightFounded in 2004 and trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations and individuals in 150+ countries count on to innovate faster and create progress for the world. At Pluralsight, we believe everyone should have the opportunity to create progress through technology. That everyone should have access to the skills of tomorrow. That technology can make the world a better place. Through the work we do every day, we empower the people who power our world. And we don’t let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us and our values are at the helm of how we work together. It’s our commitment to practicing them day in, day out that enables our performance. We’re adults, and we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics and trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, and peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds and experiences, and united by our mission, we are one. Be yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.#LI-KC
Data Scientist	Aware	The future of work is now and it's human-centered. Aware empowers employees and organizations with behavior-driven, real-time signals from the workplace. The revolutionary platform is the leading force for digital collaboration insights, giving companies a better understanding of their workforce and the ability to manage the risks associated with digital conversations and remote collaboration. Aware enables enterprises to overcome common legal and compliance barriers to collaboration adoption, address growing data risks and insider threat concerns, and empower employees by creating more empathetic, flexible, and human-centric workplaces. The Behavioral Intelligence team at Aware is tasked with developing novel predictive and analytic data solutions for the Aware platform, the industry's only purpose-built platform for understanding unstructured collaboration data. Aware is looking for a Data Scientist to join our Behavioral Intelligence team. As a member of the team, you will leverage modern techniques of natural language processing, machine learning, and statistics to derive insight into the patterns and character of communications in corporate collaboration networks (such as Microsoft Teams, Slack, Workplace from Facebook, and Zoom). We are looking for team members who - Are interested in working in cross-functional teams of product managers, engineers, and designers to understand and fulfill the needs of our customers - Embrace experimentation with new tools and approaches to building models capable of processing millions of messages and images and thousands of hours of audio and video each day - Have the ability to effectively communicate and collaborate with non-technical business partners, including the Product, Marketing, and Finance teams - Are self-motivated and comfortable working in a fast-changing environment Responsibilities: As a Data Scientist at Aware you will embrace the role of "full-stack" data scientist, which will often require you to acquire and clean raw data, engage internal and external partners to obtain labels for that data, develop machine learning and statistical models, deploy models to production, and monitor the models for performance. To meet these, you will need to: - Collaborate with diverse teams from Product, Engineering, Marketing, Customer Success, and Sales to develop customer-facing predictive models to be deployed on the Aware platform - Develop, train, and maintain statistical and machine learning models to analyzing unstructured, natural language data; images, audio, and video; as well as structured business metrics and statistics - Design and implement end-to-end data pipelines capable of feeding real time data products. This will include interacting with a variety of data tools to source, clean, and feature engineer raw data; productionize and deploy machine learning models; and monitor those models for performance - Communicate with Product, Customer Success, Marketing, and Sales to craft layman descriptions of the ML methods used, so that customers can understand how their data are being analyzed, mapping these to their business needs Requirements: - Ph.D. or Masters degree in a quantitative field (statistics, biostatistics, economics, quantitative behavioral sciences) or 2-4 years of experience applying advanced quantitative modeling techniques to problems in industry - Deep theoretical knowledge of topics such as statistical inference and machine learning, including a working knowledge of forecasting and time series analysis, hypothesis testing, anomaly detection, classification, and regression - Experience developing natural language processing (NLP); computer vision; or predictive statistical models on large datasets - Demonstrable expertise developing machine learning and statistical models in Python (experience with R or Julia a plus), including experience with frameworks such as Pytorch, Tensorflow, Spacy, NLTK, OpenCV, and Tesseract. - Strong SQL skills and working knowledge of Git and Docker - Experience with open source data visualization tools, such as Shiny, ggplot2, Lattice, plotly, and matplotlib - Some familiarity with Amazon Sagemaker, Jupyter Lab, Apache Airflow or other ETL/data orchestration platforms a plus Aware serves some of the largest enterprises in the world, in doing so we can provide them insights into their diversity and inclusion efforts. Because of this, Aware strives to cultivate its own diverse culture so we can better understand those we serve. If you share our values and enthusiasm for making companies better, you’ll find a home at Aware. Disclaimer: The duties and responsibilities described are not a comprehensive list and that additional tasks may be assigned to the employee from time to time. A FEW PERKS OF WORKING FOR AWARE • Company Equity • 100% paid monthly health insurance for you and your family • 401K match • Tuition Reimbursement • Open vacation policy • Fully stocked kitchen with drinks, goodies and balanced snacks at HQ • Flexible/Remote working options • Cross-functional, open learning environment
Data Scientist Us	Degreed	The Data Science team at Degreed works with large structured and unstructured datasets to understand how people develop the skills that they need to advance their careers. To do this, we use a diverse set of tools and approaches, including feature engineering, clustering, classification and recommendation models, word embeddings, and neural networks. Degreed is looking for a capable, qualified and versatile Data Scientist to help with the development and delivery of high-quality, data-driven, machine learning and predictive modeling solutions. Day in the Life Own end to end Machine Learning projects Discover and translate business challenges to data problems, data-pipelines and model framework Mine structured and unstructured data (company internal data and public data) Engineer features, build models, and evaluate model performance Collaborate with product and engineering teams to deploy models to support production Deliver fast while continually adjusting models according to real-time feedback Communicate about data science with a diverse set of stakeholders and development partners This description reflects management's assignment of essential functions; it does not prescribe or restrict other tasks as assigned and is subject to change at any time Who You Are 2+ years of industry work experience developing knowledge graphs Hands-on experience in one of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning production software Strong coding skills in Python, or R Advanced skills in database querying (SQL, noSQL) and search techniques Experience building prototypes and experiments to validate technical ideas Familiarity in developing cloud-based solutions using micro-services architecture, docker containers and Kubernetes Ability to work in different coding environments (local, notebooks, containers) and familiar with software engineering workflows (testing, code management/Git) Ability to blend together diverse data sources to create training data for specific problems Excellent written and verbal communication skills. We’re a distributed team and rely on good communication to perform at a high level Experience working remotely - It takes a self-motivated individual to thrive on a distributed team What Sets You Apart Experience working with graph data models (RDF, Property), graph query languages (Gremlin, SPARQL, Cypher), or graph databases (Amazon Neptune, Neo4J, TigerGraph) Experience in Natural Language Processing techniques for entity resolution, disambiguation, and linking Experience with tools and platforms like ElasticSearch, AWS, Microsoft Azure, Databricks, BERT, GPT, Word2Vec (w2v) A proven track record as central contributor to successful applied data science projects You are a lifelong learner and passionate about learning new things and taking on new challenges Educational Preferred Qualifications Master or PhD degree in a quantitative field like Computer Science, Math, Physics, Data Science, Analytics, etc Total Rewards at Degreed We believe your best work happens when you have a complete life balance, and Degreed gives you the support and flexibility to make that happen. Degreed is committed to delivering a comprehensive benefits program that provides the support you need. At the time of this posting, this role is eligible to participate in the following benefits: Comprehensive health insurance for you and your family (both PPO and HDHP plans available) Dental and vision plans for you and your family Employer-paid life insurance, AD&D, short-term disability, and long-term disability Company equity 401(k) Retirement Savings Plan with up to 4% match Company funded HSA and dependent care FSA (pending eligibility) Generous Parental Leave Unlimited Paid Time Off and 5 sick days per year Education benefit: Up to $1,200 per year for anything you want to learn (and we mean anything)! One-time Home Office Stipend to make your workspace more comfortable Monthly internet and phone stipend Monthly wellness stipend through Twic *Degreed reserves the right to modify these benefits at any time, for any reason in accordance with applicable law. Please note the offerings vary based on location.
Data Scientist	Techstars	Techstars seeks an experienced Data Scientist to join a growing team of investment professionals shaping our fund and investment strategy in support of ambitious entrepreneurs worldwide. As an integral member of the Techstars Capital team, the Data Scientist will be responsible for owning and delivering a suite of data and analytics solutions to support the firm's capital formation, investment strategy, fund management, and investor relations activities globally. We are searching for a person who is an excellent problem solver and analytical thinker, is highly technical and a skilled insights specialist, is a proven leader who can develop and execute against a roadmap, wants to build new data tools and products that contribute to investment decision-making on a global scale, is excited about working as part of a broader team, and is passionate about venture capital and high-growth entrepreneurship. Duties and Responsibilities Collect, clean, aggregate, analyze, and visualize structured and unstructured datasets from a variety of public and private sources; Develop and maintain quantitative/statistical/machine learning models, databases, dashboards, tools, and performance metrics; Produce actionable insights (data + story) in support of the firm's capital formation, investment strategy, fund management, and investor relations activities globally Design and implement procedures that ensure best-in-class data generation, stewardship, pipelines, and workflows; Work seamlessly in an interdisciplinary team of professionals on the Capital team; collaborate with key partners across the business (Accelerator Investments, Engineering, Portfolio Services, Finance, Legal, Executive); Lead and support various thought-leadership initiatives on the Capital team and throughout the organization, and develop and maintain new tools for reporting and insights Mentor and lead junior staff Qualifications 5+ years of work experience in a quantitative research role, with demonstrated love of data analytics, an intellectual curiosity, a desire to constantly learn and grow; Proficiency in programming languages for data and statistical analysis (R, Python), databases (SQL, APIs), infrastructure (AWS), and data visualization (Tableau, D3, Shiny); Demonstrated ability to independently build predictive/machine learning models and produce data-driven insights for business and/or investment audiences; Experience and interest in building data products, processes, and dashboards; leading teams in the production of such outputs a plus Domain knowledge and interest in entrepreneurship, venture capital, and technology; Work experience in venture capital, private equity, or investment banking is a plus; Knowledge of existing data sources in startups and venture capital (PitchBook, Crunchbase, Burgiss, Prequin) is a plus; The ability to work both independently and within a team; possess a congenial disposition, an entrepreneurial spirit, and have comfort in an informal work environment; and A conviction that entrepreneurs create a better future and a desire to support our mission to help entrepreneurs succeed. Compensation range: $1250,000 - $175,000 + 10% Bonus US Benefits About Techstars Techstars is the worldwide network that helps entrepreneurs succeed. Founded in 2006, Techstars began with three simple ideas - entrepreneurs create a better future for everyone, collaboration drives innovation and great ideas can come from anywhere. Now we are on a mission to enable every person on the planet to contribute to, and benefit from, the success of entrepreneurs. In addition to operating accelerator programs and venture capital funds, we do this by connecting startups, investors, corporations and cities to help build thriving startup communities. Techstars has invested in more than 2,300 companies with a combined market cap of more than $29B. Techstars’ mission is to help entrepreneurs succeed wherever they are in the world and whatever their background is. Regional accelerator programs all around the world are the cornerstone of the strategy. The investment approach is fundamentally driven by the worldwide network of managing directors, who interact with startup founders daily, guiding, mentoring and cultivating them along the journey. The scale of this reach results in a diversified strategy that provides investors with a uniquely qualified deal flow. We help Techstars founders connect with other entrepreneurs, experts, mentors, alumni, investors, community leaders, and corporations to grow their companies. www.techstars.com
Data Scientist Product Analytics Temporary	Evernote	About the team The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives. What you will do Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities Assist product and marketing with Go to Market plans including audience segmentation and sizing Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes Conduct analysis of feature usage and how we can improve the product Effectively communicate insights and recommendations to stakeholders Lead ongoing decisions concerning data collection, test/study design and data analyses What you have done Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field 3+ years experience doing quantitative analysis Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL) Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau) Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting Ability to translate complex data into actionable insights for a non-technical audience Who you are Strong problem solving and analytical skills Driven self-starter with good attention to detail Willingness to learn new technologies, tools and approaches to problem solving Excellent communication and presentation skills Experience working within the tech sector preferred We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. California privacy notice: Read our privacy policy for job applicants at https://evernote.com/privacy/policy
Data Scientist Analytics	Evernote	About the team The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives. What you will do Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes Conduct analysis of feature usage and how we can improve the product Effectively communicate insights and recommendations to stakeholders Lead ongoing decisions concerning data collection, test/study design and data analyses Design and implement predictive models to improve engagement, conversion, and retention What you have done Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field 4+ years experience doing quantitative analysis Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL) Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau) Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting Ability to translate complex data into actionable insights for a non-technical audience Who you are Strong problem solving and analytical skills Driven self-starter with good attention to detail Willingness to learn new technologies, tools and approaches to problem solving Excellent communication and presentation skills Experience working within the tech sector preferred We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. California privacy notice: Read our privacy policy for job applicants here
Data Scientist Forecasting And Attribution	The Knot Worldwide	Data Scientist - Forecasting & Attribution WHAT WE DO MATTERS: Here at The Knot Worldwide, we believe in doing work that matters. In 16 countries around the world, our leading family of brands (The Knot, WeddingWire, Bodas, Hitched, The Bash, The Bump, and more) inspire, inform, and celebrate our communities as they move through life’s milestones. Our couples and business partners depend on us. They're all in. So are we. ABOUT THE ROLE AND OUR TEAM: We are looking for an Economist with a background in time series forecasting to support our demand models for our marketplace and ecommerce businesses. Our marketplace connects over 2 million engaged couples with +50,000 local wedding vendors (e.g. Venue, DJ, Florist, etc.) across the US each year while our ecommerce businesses help couples create their registry, connect with their guests and utilize our paper invitation offerings. This role will work closely with our Data Scientists, Data Analysts and business teams including our marketing specialists. You should have experience and a curiosity to develop yourself around forecasting techniques. RESPONSIBILITIES: Design and implement statistical, machine learning, and hybrid time series forecasting models, particularly within a hierarchical context Identify drivers of value creation Create data solutions for ambiguous business problems Collaborate with business stakeholders, data engineers, data scientists, and data analysts to drive end-to-end success of your solutions Communicate the value of your work to a broad audience, both business and technical SUCCESSFUL CANDIDATES HAVE: Ph.D. in Economics and 2+ years of experience Proficiency at either Python or R Proficiency in key statistical and machine learning techniques (predictive modeling, classification, forecasting, and other advanced techniques) Experience building time series forecasting models leveraging machine learning, statistical, econometric, and/or hybrid models Ability to communicate effectively and influence others Ability to work in a fast paced environment and shift gears quickly. At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference! WHAT WE LOVE ABOUT YOU: You Dream Big. You iterate and experiment to drive innovation. You Love Our Users. You keep our global community at the center of everything you do. You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion. You Hustle Every Day. You favor urgency and own your outcomes. You Win Together. People are at the heart of our success and you play as a team. WHAT YOU LOVE ABOUT US: The Knot Worldwide offers a unique employee experience and we are deeply proud of our award-winning culture. We offer a full benefits package including options for medical, dental and vision insurance and a 401k with company match. From flexible vacation and generous parental leave benefits to promoting wellness and giving back to our community, we believe in happiness above all else—in and out of the office. -- The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. If you are a resident of California, by submitting your application, you acknowledge that you’ve read the California Privacy Notice. #LI-KS1 #LI-Remote
Sr Data Scientist Nlp	Evisort	Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance. We are backed by some of the most prominent VCs with Microsoft being an investor in our last round of financing. Come join us and help us revolutionize a multibillion dollar industry. The Role: Evisort’s Data Science team is at the core of its business. We are seeking a data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it. What You'll Do: Work closely with software and business teams to build, integrate and deliver successful algorithms in a modern SaaS platform. Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction. Build end-to-end products from the ground up, from data exploration through feature generation and model construction and deployment. Own design, implementation and deployment of your models and see them deliver business impact. Mentor other team members and continuously further the Data Science organization Guide design, architecture, tooling and processes at the organization level Skills/Qualifications: 7+ years ML experience in industry, startup experience is a plus 4+ years working with deep learning in NLP, additional experience with Computer Vision is a plus Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering) Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch) Ability and motivation to stay up to date with the very fast-moving NLP space Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving impact Evisort is an E-verify employer. Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.
Director Of Data Science	Biobot Analytics	In this role you will be responsible for defining and leading the strategy for our growing data science team and data products. You will work with key stakeholders within the company and thought leaders outside the company to propel Biobot as a leader in data science, public health, and data for social impact. This is a remote role, but quarterly (or more frequent) travel to our Boston and NYC offices is required. What you will be doing Develop a vision for how we will use data to drive Biobot’s products forward. Collaborate with leadership and other departments at Biobot to strategically align the Data Science team’s work with the company’s business strategy. Represent the Data Science team with Biobot leadership to drive high-impact product and strategy decisions. Lead a team that is inventing and implementing new ways to use wastewater data for public health. Define and drive execution against core KPIs that govern the team’s progress with respect to company-wide goals. Grow and mentor Data Science’s scientific managers and senior data scientists, epidemiologists, and computational biologists. What you will need to succeed Proven track record of conceptualizing data products and driving them to market offering. 7+ years of experience in data science, applied statistics, epidemiology, geospatial analysis, computational biology, or related fields. 7+ years of experience in science and scientific research in biology, computational biology, chemistry, or related fields. 4+ years of experience in managing and mentoring research or engineering teams in a high-scale technology company. Exceptional track record as a strong and inclusive coach, providing feedback and mentoring to fellow team members. A mastery of Python, or a mastery of R with a working knowledge of Python. Demonstrated ability to communicate complex analytical and scientific concepts across a broad range of audiences. Demonstrated ability to promote a data-drive culture across an organization. What will help you succeed Familiarity with modern software engineering best practices, such as agile development, scientific software development lifecycles, version control, and troubleshooting and testing. Experience developing algorithms and performing data analyses on complex noisy datasets, such as Bayesian statistics, signal processing, time series analysis, or geospatial analysis. Familiarity with computational biology and bioinformatics concepts, such as analysis of next-generation sequencing data, and targeted or untargeted metabolomics. An understanding of regulations and best practices that govern epidemiological data systems, including requirements for data privacy, accuracy, and security. Some of our benefits Unlimited PTO 401k with 3% employer contribution 100% employer-paid medical and dental insurance Competitive compensation and equity options And so much more! About Biobot At Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups. Our mission is to transform wastewater infrastructure into public health observatories. Named as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope of the outbreak in communities. We are operating in almost 500 communities across 43 states, and generating Covid19 case estimates for over 13% of the U.S. population. Inspired by the potential of wastewater epidemiology, we are the first company in the world to bring wastewater epidemiology to market. We are VC backed by top investors including The Engine, DCVC, Y Combinator and Homebrew. Battling the drug epidemic and now the Covid19 outbreak is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot will be an early warning system for disease, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents. Please note that we are unable to sponsor work visas at this time. www.biobot.io
Senior Data Scientist Client Platform	Spotify	Data, Research & InsightsData Science The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify. Location Stockholm or Remote EMEA Job type Permanent Platform Mission operates in the heart of Spotify. We build the technology ecosystem that enables Spotify to learn and deliver quickly, while safely and easily scaling to billions of customers, and enabling our rapid employee growth around the globe. At Client Platform, a part of the Platform Mission, we are passionate about amplifying productivity, quality and innovation across all client developers at Spotify. Client Platform strives to bring a great experience for client developers at Spotify, and through this deliver stable and reliable products for people to enjoy. As a Senior Data Scientist you will study the behavior of client developers at Spotify, support product strategy, understand our critical initiatives and bring data and insights into high impact collaborations. Spotify is a fast paced company that believes that every decision should be data-informed and every feature be fueled with data. What you’ll do Work closely with cross-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about providing an outstanding product experienceDefine metrics, build dashboards, create reports and key datasets to empower data-informed product developmentCommunicate insights and recommendations to key partners, helping activate data best practices in the Client Platform teamsDevelop and innovate on our mixed-methods insights practice, and contribute to the wider Insights community at SpotifyPerform exploratory analysis to understand who our users are, how they get value out of our offering and where we can further develop our product to bring greater valueWork from our offices in Stockholm (With the current situation regarding COVID-19, this role will be remote until it's appropriate to work from the office) Who you are 5+ years of working experience, with a comparable training in statistics, mathematics, computer science, engineering, economics, or any other quantitative fieldA communicative person who values building strong relationships with colleagues and partners, you also enjoy mentoring and guiding othersAble to navigate loosely defined problems, as well as coming up with impactful and actionable insightsHave understanding of how to instrument products to accurately collect user and system behaviors through data, thus offering a wide variety of insights and product development use casesSkilled in advanced analytics, and you possess statistical competence (such as regression modeling and significance testing)Hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau Where you'll be For this role, it can be within the EMEA region in which we have a work location and is within working hours.Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here. Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Spotify On Tour, join your colleagues on trips to industry festivals and events. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
Senior Data Scientist Customer Service	Spotify	Customer ServiceData Science In Spotify’s Customer Service team we believe that customers and creators should be spending their time enjoying our products and services and not having to speak with us. That is why we relentlessly advocate for them by working with product teams to troubleshoot issues and create a simpler, hassle-free experience. Location London or Remote EMEA Job type Permanent We are looking for a smart, ambitious and kind senior data scientist to join the Customer Service team. Here you will build data products and generate insights that amplify the voice of our customers throughout Spotify. What you’ll do Partner with operations and engineering leaders to understand the customer service roadmap, and ensure our data strategy and framework is alignedWork closely with engineers and analysts to design and implement lasting data modelsDevelop data structures and pipelines which empower research and analysisDesign and conduct tests to drive iterative improvements to the customer support journey and to support delivery metricsUse statistical techniques to derive insights from large sets of data that will inform product updates, design decisions, and operations goalsBe a strong advocate for data-informed decision-makingCommunicate insights and recommendations to key stakeholders, and be the voice of customer service analytics throughout the companyDesign, implement, and maintain ETL pipelines in SQL and Google BigQueryBuild strong relationships with colleagues and partners, and be a mentor and coach to others on the team Who you are 5+years experience in a similar role working with large scale data, using both SQL and Python. Experience working with free text data is a plusExperienced in designing analytical data layers and in conducting ETL with large and complex data setsStrong understanding of statistics and experience with A/B testingAn independent thinker who is able to work autonomouslyCapable of solving loosely defined problemsCurious and not afraid of exploring new domains. You enjoy partnering with others to tackle new challengesCompelling storyteller who can communicate in succinct and inspiring ways. You are comfortable and effective speaking with non-technical audiences as well as engineersBackground in computer science, engineering, physics, statistics, economics, mathematics, a similar quantitative field or comparable experience Where you’ll work We’re a distributed workforce enabling our band members to find a work mode best for them!Where in the world? For this role, it can be anywhere in the EMEA region in which we have a work location Working hours? We operate within the GMT and EST time zones for collaboration Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Spotify On Tour, join your colleagues on trips to industry festivals and events. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
Data Scientist Personalization Knowledge	Spotify	Data, Research & InsightsData Science The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. Location New York or Remote ESTAmericas Job type Permanent We are looking for a seasoned data scientist with experience providing insights to platform organizations to join the Personalization Knowledge team. The Personalization Knowledge team builds the models, tools, and data products that represent user taste, behavior, discovery, and their relationships with content. Your work will help us measure the impact of our platform and explore new opportunities to improve our understanding of users and the audio they love. What You'll Do: Develop research questions and conduct data analysis to understand internal usage of our data products as well as their impact on Spotify’s users.Design and analyze experiments and perform causal inference when A/B testing is not an option.Evaluate the performance of ML models in online and offline settings.Define, evaluate, and monitor key metrics. Who You Are: 3 + years of professional experience as a data scientist in a related tech/consumer field.Technical competence to perform advanced analytics: coding skills (such as R, Python, or Scala), experience with analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets.Significant expertise in experimentation and causal inference.You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others. Where You'll Be: We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone. Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here. Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Spotify On Tour, join your colleagues on trips to industry festivals and events. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
Senior Data Scientist Commerce Platform	Spotify	Data, Research & InsightsData The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. Location London or Remote EMEA Job type Permanent When you think of commerce at Spotify, you might think of the millions of subscribers and their transactions from purchasing Premium subscriptions. But as we deliver on our mission to empower creators to live off of their art, we are diversifying. From enabling fans to purchase artist merchandise, to enabling podcasters to monetize ad space in their content and much more - all of this will be powered by the commerce platform. As the commerce platform team, our mission is to unlock commerce at Spotify through a best in class platform that enables teams to quickly and safely build businesses. As the Product Insights team within commerce, our mission is to enable user-centric, data-driven decision making across the team. We’re looking for an experienced Senior Data Scientist to help us do this, to help shape the future of a single unified commerce platform for Spotify. What You'll Do Partner with product managers, user researchers and design to create & communicate insights that directly drive major product decisions.Define metrics to help us understand our product’s performance & work with engineering to implement the necessary instrumentation.Influence product strategy with foundational analysis.Drive prioritisation by estimating the impact of potential product changes.Test our product changes by running AB tests or other causal inference techniques. Who You Are 5+ years of professional experience in data science or related fields.You understand product development, and how to influence it with data analysisYou are technically proficient in SQL, a scripting language (e.g. python) & data visualisationHave a sound understanding of statistics, especially frequentist statisticsComfortable running the full lifecycle of a DS project, from ambiguous needs and stakeholders to data preparation, analysis, recommendations and beyond Where You'll Be We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the EMEA region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.Working hours? We operate within the Central European time zone for collaborationWe ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Spotify On Tour, join your colleagues on trips to industry festivals and events. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
Senior Data Scientist Content Analytics New Content Formats	Spotify	Data, Research & InsightsData Science We are looking for an outstanding Senior Data Scientist to join the band and our Content Analytics team to drive insights and learning around our growing number of content formats beyond music and podcasts (audiobooks, live content, video). Location New York or Remote Americas Job type Permanent What you'll do: Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on new content formatsPartner with cross-functional teams across Content and Product to develop insights agendas for new content and product experiences within SpotifyWork closely with researchers and content strategists to deliver holistic recommendations on new content to feature to usersEngineer novel data sets, features and reports that shed a new light on the dynamics of how users and creators engage with new content formatsCommunicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling Who you are: 5+ years of relevant experience analyzing complex data with SQL, Python, and/or RYou have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirablePrevious experience with consumer- or creator-facing digital apps preferred. Other media, entertainment, or technology experience is also highly valuedYou are curious and not afraid of exploring new domains. You enjoy partnering with others to define and develop new opportunitiesYou are an effective communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights. Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)You have a strong understanding of statistics and data science methods such as forecasting, AB-testing, or causal inferenceExperience creating and scheduling datasets is highly valued Knowledge of Google’s BigQuery, or DBT is a plusBased on your experience and expertise, we will match you to one of two levels during the interview process - Data Scientist 2 or Senior Data Scientist Where you'll be: We are a distributed workforce enabling our band members to find a work mode best for them!Where in the world? For this role, it can be within the Americas region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.Working hours? We operate within the Eastern Standard time zone for collaboration#remote Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Spotify On Tour, join your colleagues on trips to industry festivals and events. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols. This role is not eligible for hire in Colorado, USA.
Data Scientist Customer Service Platform	Spotify	Data, Research & InsightsData The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. Location London or Remote EMEA Job type Permanent Spotify is diversifying: audiobooks, artist merchandise, podcast advertising and many other areas. Each of these services requires a customer service experience that gives users the help they need when they need it. Which is where this team comes in! As a Product Insights Data Scientist working on the customer service platform, you will be building insights from the ground up as we reinvent how we serve our users’ customer service needs. From scoping data and building out ETLs with Data Engineers, to delivering insights that advise the product roadmap for our many customer service tools (such as chatbots, FAQs, agents, multichannel optimization and more)! Sound exciting? What You'll Do Drive prioritisation by estimating the impact of potential product changes, and creating frameworks to align interested parties.Define metric frameworks and partner with engineering to instrument our product. Building systems and practices that allow us to monitor progress at scale efficiently.Partner with product managers, user researchers and design to create & communicate insights that directly drive major product decisions.Identify the most suitable insights methods (exploratory data analysis, experimentation, causal inference, regression methods, ML etc) to support all stages of the product development cycle (from conceptualisation to shipping/optimisation).Partner with user researchers to combine qualitative and quantitative insights into more powerful and compelling stories - understanding the what and the why. Who You Are 3+ years of professional experience in data science or related fields.A technically minded data scientist with a deep understanding of data, instrumentation, and pipelines.Previous experience partnering with engineering to deliver metrics frameworks & dashboards.Ability to query large datasets with SQL (our DWH is in BigQuery) along with great coding skills (Python or R).You have great knowledge of analytics & visualisation libraries (e.g. pandas, tidyverse, seaborn, ggplot), and visualisation tools (Looker or similar) with a proven record of appealing visuals.Ability to use statistics to drive business decisions. Methods include: success metrics, a/b testing, determining statistical significance and presenting findings with clear product recommendations or implications. Where You'll Be We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the EMEA region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.Working hours? We operate within the Central European time zone for collaborationWe ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Spotify On Tour, join your colleagues on trips to industry festivals and events. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
Data Scientist Personalization	Spotify	Data, Research & InsightsData Science The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. Location New York or Remote ESTAmericas Job type Permanent We are seeking a Data Scientist to join our Product Insights team, focusing on Personalization. We have several roles open across different levels of seniority. You will be solving complex data problems and delivering the insight that helps to define our understanding of music, audio and our listeners to develop how we personalize at Spotify. This role works closely with a multidisciplinary team of data scientists, user researchers, data engineers, product teams and designers. Your work will impact the way the world experiences music and audio! What You’ll Do: Develop research questions and undertake data exploration to understand who our listeners are, how they get value out of Spotify, and where we can develop our product to bring greater value.Work closely with the team including data engineering to build lasting solutions to our data modeling Design, analyze, and interpret the results of experiments.Perform exploratory analyses to understand the performance of our machine learning systems.Define, evaluate, dashboard and monitor key metrics, understanding root causes of changes.Contribute to the development of the Product Insights function and the wider analytics community at Spotify. Who You Are: You will have 3+ years of relevant applied experience with a degree or higher in economics, psychology, computer science, statistics, or mathematics or another quantitative discipline.Technical competence to perform advanced analytics: coding skills (such as R, Python, or Scala), experience with analytics & visualization tools ( SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets.You have strong statistical understanding of online testing methodologies and metric development.You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others. Where You’ll Be: We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone. Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here. Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Spotify On Tour, join your colleagues on trips to industry festivals and events. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
Staff Data Scientist Freemium Product Insights	Spotify	Data, Research & InsightsData The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. Location London or Remote EMEA Job type Permanent We are looking for a Staff Data Scientist to join the Freemium Product Insights team. As part of our team, you will study user behavior, critical initiatives, product features, and more bringing data and insights into every decision we make. Your work will affect how we think about our users and will craft compelling experiences and propositions in a competitive media landscape. This is a highly impactful role where you will be able to directly influence Spotify’s business and millions of Spotify users around the world. What You’ll Do: Work on both foundational research and business critical initiatives, taking on the role of an insights leader. You will be responsible for identifying and designing the most suitable approach for the given business problems and leading the work of other insights practitioners in the organization to deliver against thisDevelop frameworks and methods that elevate the insights practice within the business unit and provide coaching and mentorship to members of the insights community Influence the thinking of senior leaders at Spotify within and outside the insights functionCultivate positive relationships with cross-functional teams of product managers, engineers, designers, user researchers, business partners and others across the company Who You Are: Strong eye for business and demonstrated ability to create and drive strategic insights roadmaps to deliver against core business needs. Ability to plan and stage the insights work to be done and drive the execution of this leveraging other Insights individualsExcellent technical competence and experience performing analysis across a breadth of techniques (e.g. exploratory analytics / causal inference / experimentation / ML techniques) Strong SQL and quantitative programming skills (Python preferred)Extensive experience working with large scale datasets and using data engineering best practices (e.g. CI/CD, testing, git) Strong statistical knowledge and intuition, including experience designing, monitoring and analyzing A/B testsAbility to communicate effectively and influence senior leadershipAbility to communicate technical and statistical concepts clearly and concisely among audiences of varying technical levelsAbility to collaborate effectively with cross-functional partners to drive impactExperience of mentorship of other data scientistsThrive in a fast-paced, dynamic and high energy environment and are comfortable with ambiguity Where You'll Be We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the EMEA region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options hereWorking hours? We operate within the Central European time zone for collaborationWe ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Spotify On Tour, join your colleagues on trips to industry festivals and events. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
Sr Data Science Manager	Panorama Education	About the Role At Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice. Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to–through team leadership and support–leverage data science to advance critical research and development (R&D) efforts for our products. You will manage our growing team of 4 high-performing data scientists as well as advise and support them as they develop our data science architecture and tech stack, leverage educational data for R&D purposes, develop equity-first analytics products, and grow professionally. You’ll work closely with and report to Panorama’s Director of Research and others on our Engineering, Product Management, and Information Security teams–as well as company leadership–on data science strategy, planning, hiring, and execution. Responsibilities: Oversee the compiling, cleaning, managing, analysis, and visualization of large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies Advise and support data scientists as they 1) design, secure, and implement data pipelines and infrastructure to enable product development and advance company goals 2) apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes Develop data and human systems that foster innovation, inclusion, excellence, and equity Support team members in their individual and collective impact, growth, satisfaction, and well-being Organize sprints, oversee data science project management, and ensure that estimates are accurate and deadlines are met Hire and onboard a diverse set of data scientists. Help envision and lead the next phase of our data science strategy and efforts, including team, technology, and security practices, as well as the development of analytic products Our Ideal Candidate Has: 3+ years of experience as a Data Science Manager, a passion for helping team members thrive through individual support and system-level improvements, and a track record of improving team practices Demonstrable and broad expertise that includes data pipelining, cloud computing, manipulating large datasets, and using traditional and modern statistical methods to solve user problems Ability to thrive as a team player in a collaborative, small-team environment
Product Manager Data Science	Panorama Education	About the Role: Do you enjoy bringing together data to help solve problems? As Senior Product Manager, Data Science Labs, you will work to spin up a sophisticated data science infrastructure that gives internal teams the tools to explore our data in new ways and enables us to innovate Panorama’s platform through the development of features powered by our data set. You will work cross-functionally with partner teams and product leadership to develop a vision for how we supercharge our products by surfacing data-informed insights and recommending action to users and a strategy to get us there. You will work with a team to innovate, test, and deliver valuable new features, build upon our analytic expertise, and support and help shape the growth of our product team norms and practices as we scale. You will become an expert in K–12 education and the technical needs of our school, district, and state partners, identifying the most important problems to solve and delivering creative solutions to scale our support of all students and drive improved and more equitable outcomes. Responsibilities: Define problems and devise the roadmap for enabling data exploration and analytic development through a set of data science tools Partner with other product leads to ensure that we are delivering the data science infrastructure and tools that will best support the goals and mission of each product area. Ensure high-quality execution of the roadmap through collaboration with other development team members including engineers and data scientists Gain a deep understanding of the day-to-day lives of K–12 district technical leaders and the challenges that they face when using our platform and look for ways to improve their experience with Panorama’s platform. Lead by example and drive meaningful client and business outcomes by setting and achieving goals with your cross-functional team Communicate your team's roadmap and strategic plans, creating excitement and alignment within your team, and across Panorama Our Ideal Candidate Has: 2+ years of product management including experience working with data science or analytics Implemented new systems or practices across different product teams, and effectively aligned stakeholders to goals and process Interest in solving big problems and helping educators improve student outcomes in innovative ways Exceptional communication across all levels of an organization, stakeholder alignment, and driving business objectives A people-first mentality to help others succeed Experience working in Education, EdTech, B2B SaaS products, and leading cross-functional teams
Data Scientist	Ophelia	About Ophelia Ophelia is a mission-driven organization that helps individuals with opioid use disorder (OUD) improve their health and quality of life. We make evidence-based treatment private, accessible, and affordable. Opioid overdose is the #1 cause of death for Americans under 50, accounting for over 100 deaths each day. There is a proven treatment for OUD, called medication-assisted treatment (MAT), but 80% of people in need are unable to access it. We created Ophelia to make this treatment accessible from the privacy of your home. We're a diverse and dedicated team - clinicians, scientists, techies, and humanitarians - on a mission to reimagine addiction treatment in America. We've raised $68 million from the world's top healthcare and technology investors (Y Combinator, Tiger Global, Menlo Ventures, General Catalyst), and we're rapidly expanding across the nation, helping thousands of people each day. Join us, save lives, and help fix healthcare for those who need it most. Culture @ Ophelia Don’t Take Yourself Too Seriously We’re a small team at Ophelia, and love a good laugh. Expect to be made into a slack reaction gif on your first day, defend your opinion on how gif is pronounced (spoiler alert, you’re wrong), and get a lot better at Quiplash and Codenames.Feel free to include gifs in your application (encouraged). Take Our Product Super Seriously We care deeply about our users and making their lives better. We apply product thinking not only to our product cycle, but to our entire business to make sure we’re always optimizing our user experience.We’re all passionate about the addiction medicine space, and love collaborating across our roles and departments to provide the best product we can. What We Build At Ophelia, the users we build products for wear as many hats as we do. We build products for our patients to connect with Ophelia and their providers, for our team members to better understand our data, and for our clinicians to provide high quality care to our patients. We’ve built a state of the art, proprietary electronic health record for our team to provide tailored treatment to each of their patients, that we’re constantly improving to make our clinicians lives easier, and our patients lives better. One of the most important ways we do this is with our data, and we work to aggregate it from all our sources to help the team draw brand new insights from it. About the Role We’re looking for a Data Scientist to help turn Ophelia into a more data driven organization. There are questions that we want our data scientist to answer while also helping us answer the questions we’re not yet thinking about. If you are passionate about data science we would love to have you! 2+ years of work experience in product/data analytics/data engineering or related discipline Data science experience and familiarity with managing large data sets Experience building insightful dashboards with visualization tools A general knowledge of machine learning approaches The ability to collaborate and communicate with Product Managers and help them craft hypotheses, and define and measure KPIs A self-starter approach, with strong motivation and drive for excellence Our Stack Fivetran, Snowflake, React, Node.js, Express.js, Firebase Cloud Functions, Firestore DB, Firebase Hosting, Google Cloud Platform, Webflow.io, Segment, GitHub Next steps: If you're interested in the role or have any questions please email your LinkedIn \|\| GitHub \|\| Resume to [email protected] If this doesn’t seem right for you, but you know a good candidate, please forward this along. Sincerely, Felix Gaye (Technical Recruiter) & The Ophelia Team Interested in learning more about Ophelia and this role? Apply below!
Applied Scientist Ad Targeting	Yelp	Do you want to help local businesses grow? Our Ad Targeting team connects millions of users to the right businesses each day. From restaurants, boutiques, and salons, to dentists, mechanics, and plumbers, our recommendation system knows just the place. As an Applied Scientist, you will design robust A/B experiments to characterize user behavior, assess machine learning models through careful statistical analysis, and build end-to-end machine learning models that help millions of users make better decisions. Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. We enable all new team members to deploy working code in their first week, and your impact will only grow from there with the support of your manager, mentor, and team. Learn more about Yelp by visiting: Culture at Yelp / Yelp Fact Sheet / Diversity at Yelp / Yelp Engineering Blog / Yelp Blog / Yelp Open Source / Yelp Economic Average. We’d love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes. This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. Where You Come In: Identify and own challenging problems, form testable hypotheses, and drive significant business impact Conduct end-to-end analyses, from wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas. Communicate your conclusions to technical and non-technical audiences alike. Develop and deploy ML models into production and continuously improve their performance. Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events What It Takes to Succeed: Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.). Experience with predictive modeling/machine learning, forecasting, or causal inference. Experience with machine learning packages such as xgboost, TensorFlow, etc. is a plus. A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal. The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value. What You’ll Get: This opportunity has the option to be fully remote in all locations across Canada. For more information about Canadian benefits at Yelp, please check out this link. At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.” We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status. We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] or 415-969-8488. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
Data Science Manager Nlp	Evisort	Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance. We are backed by some of the most prominent VCs including Microsoft, TCV, and General Atlantic. Come join us and help us revolutionize a multibillion-dollar industry. The Role: Evisort’s Data Science team is at the core of its business. We are seeking a data science manager to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it. What You'll Do: Manage a team of data scientists and align their growth and career development objectives with company’s roadmap and OKRs, and continuously further the Data Science organization Be a hands-on manager who does not shy away from writing and/or reviewing code or data Collaborate with your team to effectively develop projects milestones and timelines and ensure timely and high quality delivery of said milestones. Effectively manage communications with stakeholders and work closely with software and business teams to build, integrate and deliver successful AI in a modern SaaS platform. Contribute to advancing NLP and its applications, and creating highly innovative products and customer experiences. Guide design, architecture, tooling and processes at the organization level Skills/Qualifications: 5+ years Machine Learning experience in industry as an individual contributor, startup experience is preferred 3+ years of experience as a data science manager of high performing teams, startup experience is preferred 2+ years working with deep learning in NLP as an individual contributor or as a manager Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering) Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch) and strong attention to code quality Ability and motivation to stay up to date with the very fast-moving NLP space Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving impact Evisort is an E-verify employer. Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.
Research Scientist Technical	Betterup	Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. BetterUp Labs is currently seeking an innovative, accomplished Research Scientist who is passionate about advancing our understanding of the inner life and whole person performance of professionals around the globe. In this role, you will capture, measure, and analyze a range of behavioral data signals - from sensor data to self-report assessments to digital exhaust - to develop computational models of human flourishing. You’ll need to draw on your mastery of experimental social science, web- and app-based data engineering, applied machine learning, computational linguistics, and all-around data wizardry to uncover truly ground-breaking answers to The Big Questions. This role will provide a rich opportunity to showcase the intersection of your strengths as a social and computational engineer and scientist, and to leverage your diverse skills in the translation of science to practice. At BetterUp you’ll have the opportunity to work side by side with talented, motivated, and intellectually stimulating colleagues who thrive on helping organizations solve their most pressing behavioral business challenges. What you’ll do: Conceive of, develop, and prototype predictive computational models of personal and interpersonal flourishing behaviors. Collect and process data from a range of behavioral health software and hardware (think productivity apps, wearables, and digital communication platforms). Analyze both new and existing data to generate insights for both internal (marketing, product) and external (research community, prospects, customers) audiences. Develop best practices for collaboration, maintenance, and reporting of analytics projects. Communicate findings with written, visual, and oral presentation media, for internal presentations, external reports and talks, and academic manuscripts. Stay on top of advances in relevant fields of research (e.g. applied ML, NLP, wearable/sensor technologies, psychological science) to inform experimentation and other business decisions. Key Behaviors: Practice rigorous science and compelling data storytelling. Storytelling as a moral good! Think creatively and interdisciplinarily. Draw from the cutting-edge across academic and industry to inform study design and analysis.Always be ready to answer: what’s the best paper you’ve read recently that changed how you see the world? Demonstrate unerring responsiveness to and seamless collaboration with internal customers, including marketing, product, sales, customer success, and operations teams. We work with a lot of different, amazing, people. Learn continuously to stay on your edge in the relevant scientific literature. Collaborate without ego, willing to take on small tasks (CSS tweaks) and large (design of years-long projects). If you have some or all of the following, please apply: Hold an advanced degree from a top-tier university in one of the following (or similar) fields: applied machine learning, computational linguistics, computational social science, data science, data engineering. (B.S. holders with strong computational/statistical backgrounds also considered.) Note: This is not a traditional software engineering function. A strong background in social science, along with computational science/engineering expertise, is required. Similarly, this role requires a lot more comfort with data engineering (e.g. building a data ingestion pipeline from scratch for a new wearable) than a traditional social science role. Strong preference for minimum 2 years working in a similar role, preferably in a startup environment. Proficient in Python, with a focus on ML/DL modules (Pandas, Scikit, Tensorflow, Pytorch). Proficiency in R (tidyverse) a big plus. Experience building and understanding predictive models based on multimedia data (video, audio, text), using cutting-edge deep learning methods. Comfortable with common inferential statistical methods, including hierarchical/multilevel models, Bayesian inference, cross-validation, and optimization. Basic SQL competency. Expertise in human behavioral data measurement, collection, and analysis. Psychology background a big plus. Exceptional written and verbal communication skills. Demonstrated desire for continued learning and development across different academic disciplines. Benefits: At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Medical, dental and vision insurance Flexible paid time off Per year: All federal/statutory holidays observed 4 BetterUp Inner Work days (https://www.betterup.co/inner-work) 5 Volunteer Days to give back Learning and Development stipend Holiday charitable contribution of your choice on behalf of BetterUp 401(k) self contribution Company wide Summer & Winter breaks Diversity & EEO statement We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Interested? Get in touch with Andrew Reece to learn more. [email protected] #LI-Remote
Data Scientist Manager Pricing R D Auto	Clearcover	Our Value Proposition: Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat. In this role as the Data Scientist Manager, Pricing R&D (Auto): Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a strong leader to build products that create confident, happy customers. What will you do as the Data Scientist Manager, Pricing R&D (Auto)? Roll up your sleeves to design, gain alignment, and execute on impactful initiatives spanning our customers’ journey Lead a small but mighty team to build the future of our insurance product Collaborate with the State Product Management, Product and Technology, Legal and Compliance, Growth, Marketing, and the ClearAI team to attract the right customers at the right time Democratize data and insights to facilitate data-driven decision-making across Clearcover Embrace and champion agile development practices and function as the day to day scrum master on directly managed team(s) What do you need as the Data Scientist Manager, Pricing R&D (Auto)? 7+ years of experience applying advanced quantitative or predictive modeling techniques Successful track record of managing small teams in an Agile framework Strong intellectual curiosity with a bias towards action Deep insurance knowledge with Auto and Property experience preferred Strong communication skills with the ability to understand and explain P&L concepts to a non-technical audience What would make you an exceptional candidate as the Data Scientist Manager, Pricing R&D (Auto)? Strong programming skills with experience in SQL, and R or Python Extensive product development experience from concept through post launch monitoring Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out! But wait, there’s more: As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
Intermediate Ml Nlp Data Scientist	Paper	Paper is looking for an Intermediate Data Scientist - NLP to join the growing R&D team. You will be responsible for performing research and applying techniques in natural language processing, machine learning and information retrieval. In this role, you will be responsible for designing and implementing algorithms to solve technical problems and you are expected to adopt a scientific approach when conducting R&D experiments. you will spend a significant amount of time planning, building, and deploying NLP custom and off-the-shelf solutions while working closely with our engineers. You should be self-directed and comfortable conducting applied research in collaboration with a wide range of stakeholders and cross-functional teams. As an ideal candidate, you need to have a strong background in mathematics/statistics/computer science or a related field. This position can be located in any geography in the US or Canada. Responsibilities: Develop, evaluate and deploy ML / NLP techniques. Mine and analyze data from the company databases to create standardized datasets. Develop processes and tools to monitor and analyze model performance and data accuracy. Assess the effectiveness and accuracy of new data sources and data collection techniques. Use predictive modeling to improve service delivery, customer experience, and other business outcomes. Develop custom data models and algorithms. Coordinate with different functional teams to implement models and monitor outcomes. Qualifications: +2 years of hands-on experience building neural networks, statistical models and machine learning techniques, with a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field or +4 years of experience in ML development teams. Extensive experience with Python and common data science libraries (Numpy, Scipy, Pandas, Matplotlib, Seaborn). Thorough familiarity with machine learning libraries (Scikit-learn, TensorFlow, Pytorch) and NLP libraries (NLTK, spaCy, CoreNLP, Gensim, TextBlob). Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, regression, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience with putting Machine Learning models into production. Experience with visualizing/presenting data for business stakeholders. Strong problem solving skills with an emphasis on product development. Excellent written and verbal communication skills. A drive to learn and master new technologies and techniques. Experience using graph learning is a plus. Knowledge of GCP cloud computing services is a plus. Job perks: Work with a dynamic team that provides support whenever you get stuck. Remote first environment. Annual company-wide meetup. Opportunity for career development with a fast-growing company. A unique opportunity to make an impact by making education more equitable. Stipend to help support the growth of your home office. Unlimited access to tutoring for children of Paper employees. #LI-Remote #LI-ST01
Data Scientist Product	Clearbit	At Clearbit, we help our customers build unstoppable growth engines. Our products enable businesses to understand their customers, generate demand, act on intent, and increase conversions all the way down the funnel. Today, Clearbit powers more than 1,500 B2B companies including Asana, Segment, and Atlassian. Are you a data scientist with aspirations of transitioning into product management? Clearbit Product Management is looking for an exceptional, passionate and customer-centric data scientist to own modeling and experimentation for one of our most valuable products - Clearbit Reveal. This is the ideal role for someone with a strong understanding of data, analytics and machine learning that would like to remain close to our data products while honing their product management skills and experience. The ideal product data scientist leverages data to design and deploy data/model tests and experiments to improve the value our customers receive from Clearbit’s products. This position is remote as Clearbit has fully transitioned into a 100% remote work environment. As a Data Scientist at Clearbit you'll be joining a growing, impactful Product team to shape the future of Clearbit as we scale. You’ll manage the Reveal product, including running tests and experiments to improve model/algorithm accuracy. You’ll balance trade-offs between different possible machine learning algorithms or rules-based heuristics. You’ll communicate between a team of data scientists, machine learning engineers, and external stakeholders while prioritizing product roadmap and priorities that support broader company objectives and priorities. What you will do: As a Data Scientist (Product) at Clearbit, you will own data modeling and experimentation for Clearbit’s products. Data science and product algorithms. Leverage product data to amplify product development. Apply data science techniques, data engineering processes, and experimentation tests to improve model accuracy. Testing and experimentation. Apply techniques to evaluate live product data and modeled output. Design and execute various A/B and multivariate tests to shape the next iteration of the product. Evaluate the output captured in statistical analyses and translate them into insights to inform product decisions and execute product improvements. Customer discovery and interviews. Connect with customers on an ongoing basis to clearly understand their needs and challenges. Validate ideas with customers and analyze the data to seek out the right products and strategies Clearbit should pursue. Product requirements. Define both functional and non-functional product requirements of our AI/ML-powered solutions while being hyper-focused in solving real customer problems. Own a pillar product roadmap. Develop a product roadmap that focuses on and prioritizes those investments that will help us achieve our overarching objectives and key results (OKRs). Cross-functional Collaboration. Partner with teams across Clearbit to tackle customer problems. Collaborate with Design, Engineering, Sales, Product, Customer Success and others to rapidly conceptualize, prototype, market validate and launch new product ideas and innovations. Communicate both the business and technical rationale behind your decisions, with the proper fidelity needed for a given audience: customer success, product development, leadership, and customers. Communicate and bring ideas to life. Understand and articulate common, foundational customer problems, collaborate and coordinate with internal teams and leadership, assist in go-to-market strategies, and do whatever it takes to bring an idea to life and deliver value for our customers. What you need to succeed: You have practical data science experience. You have significant prior success as a Data, Product, or Decision Scientist working on challenging problems at scale with expertise in statistical modeling and/ or machine learning. You have the required technical skills. You have experience in advanced analytics and statistics, SQL/NoSQL, Python, R, machine learning, experiment design (A/B testing, multivariate analysis), Data Wrangling/ETL, and APIs. You have a growth mindset. You are looking to grow your career and product management experience. You can be mentored and are eager to learn agile/SCRUM product development processes and principles. Your focus is on customer value and experience. You recognize that we can build anything but it's figuring out the right thing to build for customers—and truly understanding their challenges and problems they face—that matters most. You're creative and curious. You can dream and brainstorm and explore the opposite perspective. You're not afraid of new or different ideas. Technical challenges aren't scary. You've worked with complex systems, data, APIs, CRMs, and/or marketing or sales automation platforms. You have excellent communication skills. You're as comfortable writing for and talking to customers as you are talking to leadership, design, and engineering. You know your audiences, what's important to them, and can tailor the message so it's concise and clear. You can break down complex concepts into common, easy-to-understand language for the business. Your attention-to-detail is top notch. You're quick to catch pitfalls and potential issues, and aren't afraid to ask why or communicate your understanding of a situation. You ensure everyone is aligned and understands what matters and why. Working at Clearbit: We invest in personal and team growth, valuing constructive feedback, and emotional intelligence. We aim to maintain a working environment of psychological safety, where vulnerability is not a weakness, so that it's easier to take creative risks, re-define what’s possible, and grow into the best version of yourself. Your teammates will push you to grow (kindly) and ask for the same in return. Building a company takes a physical and mental toll, which is why we think it's incredibly important to make sure that we provide benefits that focus on physical and mental health. Our benefits include:- Competitive salary and meaningful equity- Health, dental, and vision for you and your family- Paid parental leave- Mental health resources, coaching and therapy sessions- 401(K)- Education benefits Don’t meet 100% of the criteria, but think you can do the job? We’d love to chat anyway! We’re on a mission to build diverse teams, and studies have shown that women and folks from marginalized communities are less likely to apply to jobs if they don’t check every box. We value and celebrate how you identify, who you love, the color of your skin, your age (at heart and on paper), the gods you do or don't believe in, and every other belief and characteristic that make you, YOU. The more inclusive we are, the better we — and our work — will be. Clearbit is an equal opportunity employer.
Data Scientist Biostatistician	Picnichealth	Healthcare needs good data. At PicnicHealth, we are building deep real-world datasets fueling cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights — across dozens of diseases — to ultimately get the right treatments into patients’ hands faster. We do this by working directly with patients and leveraging state of the art machine learning to transform messy medical records into structured, research-ready datasets. To date we’ve helped tens of thousands of patients securely access their records and proactively contribute to advancing research in diseases that impacts their lives. We’re excited to announce $60 million in funding in a Series C led by B Capital Group. Our existing investors Felicis Ventures and Amplify Partners also joined the round, bringing the total we have raised to more than $100 million. And we are just getting started! If you are looking to join an award winning, mission-driven, motivated team that is making a real impact across millions of people’s lives, PicnicHealth might just be the place for you. The Opportunity At PicnicHealth, Data Scientists on the Quantitative Research team are responsible for translating, assessing, and augmenting our Real World Data (RWD) to develop actionable insights and evidence for our life science partners. We’re seeking an experienced data scientist to join the team to deliver bespoke analytics, create internal and customer tools, and develop predictive models to improve our research data product. As the Data Scientist you will be responsible for: Use PicnicHealth’s large, multi-disease multi-modal real-world dataset to answer critical clinical questions; Become a subject matter expert on our data and its capabilities. Lead technical initiatives that further our understanding of RWD and methods to generate real-world evidence; Transform real-world clinical data into actionable insights using data analytics, robust statistical methods, and compelling data visualizations accessible to a wide range of end-users; Work with a cross-functional team to define and clarify analytic requirements, develop analysis plans, ensure data quality standards, and create publication-ready methods and results; Conduct research to assess our data quality, identifying gaps and proposing solutions. Develop and manage relationships with external partners (including life science companies, regulatory agencies, academic institutions, and health technology assessment bodies) to advance the integration of our analytic products, including through peer reviewed scientific publications. Help continue to build a world-class [function] team, by helping attract, interview, and onboard your future team members during this exciting time of growth. You are a great fit if you: Hold a degree in a quantitative discipline, such as biostatistics, epidemiology, applied statistics, health economics, or a related discipline Have least 2 years of industry experience in a quantitative/statistical position in the life sciences industry Advanced experience with R (tidyverse) and preferably have built an R package before Have experience working with medical data, longitudinal EMR data, and/or data ontologies (OMOP, etc.) Are an excellent communicator, both oral and written, and can effectively adapt your tone, content, and approach to diverse audiences Know how to balance attention to detail with execution against tight timelines. You are passionate about our patient-centric mission to improve healthcare for all We expect all team members to be motivated to be amazing in their roles and, ultimately, to move the PicnicHealth mission forward. Perks & Benefits @PicnicHealth At PicnicHealth you get to solve real problems with real solutions, great tech, and great people. We offer a hybrid set up for our team: team members in the Bay Area can work from the SF office on a flexible schedule; remote team members are expected to travel to in-person meetings 4-6 times a year. We strongly encourage new team members to visit the office during our quarterly "Convergence Week" to help build the context, connections, and confidence they need to be successful in this hybrid set up at PicnicHealth. (All travel related expenses on us!) You also get: Competitive salary Comprehensive benefits including above market Health, Dental, Vision Family friendly environment Flexible time off 401k plan Free PicnicHealth account Equipment and internet funds for home office set up COVID-19 Policy We require proof of vaccination and booster for COVID-19, except those with medical or religious exemptions. Equal Opportunity Statement PicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.
Data Scientist	Urgently	YOUR MISSION: Provide the best roadside assistance experience to drivers in need and dispatch experience to our service providers. You will build systems to forecast market dynamics, vet and test business ideas using A/B testing framework and improve machine learning algorithms. As a data scientist, you will identify, execute, and measure improvements to our mobility platform. Working at the intersection of Product, Data Engineering, and Platform Engineering, you will develop impactful data products that shape our product strategy. YOUR LEGACY: Your legacy is the immense contributions to the foundational machine learning systems in our data pipeline. As an expert in our proprietary data, you developed product enhancements, strategy and supported leadership in pursuing new opportunities and identifying risks. Your work accelerated the company's growth, reduced costs and innovated in the mobility space. The result? You helped Urgently become the world’s leading mobility assistance company. WHAT YOU’LL BE RESPONSIBLE FOR: Build best-in-class predictive models and decision tools Identify issues and recommend testable improvements to different aspects of the business Research & Development in transportation/roadside industries Prioritize and balance the data science work and the speed to market for new improvements Develop Proof-of-Concept ideas using data, data science and human behavior to improve our business processes Work with data engineering and infrastructure to get the data you need Develop algorithms & algorithmic pipeline to deploy into production Measure the impact of the improvement Use effective project and product planning technique to distill user requirements into its manageable components Be a self starter and manager Able to work independently and know when to reach out to stakeholders and teams for clarification or help Work closely with manager and team to align work with business expectations Communicate findings and quantify the improvements Success metric = Everyone in the business should see what the development pipeline looks like and how it solves their issues
Data Analyst Data Science And Analytics	Questbridge	QuestBridge is a national nonprofit program that connects outstanding low-income students with educational opportunities that can change their lives, as well as the demographics of our nation’s leading educational institutions. The Data Analyst position offers a unique opportunity for someone passionate about using their data and technical skills to enhance educational programs and contribute to the growth of a far-reaching entrepreneurial social venture. Our Data Analyst will be asked to clean, query, explore, and analyze data, as well as design intuitive ways to visualize data for operational insights. Our Data Analyst will have the opportunity to collaborate with program, data, and engineering team members across other departments for thought partnership, feedback, and growth. In addition to analytical skills, this position has a strong focus on rigor, communications, and project management. If you will enjoy applying your skills to data projects in a fast-paced environment to contribute toward QuestBridge’s mission, we look forward to reviewing your application! Role and Responsibilities Success of this role is defined by achieving the following: Accurate and efficient implementation of data operations related to our careers, alumni, graduate partnerships, and other programmatic efforts Detailed understanding of data used in all analytics projects (including visualizations that help others gain clarity for decision-making) Well-documented code that current or incoming analysts can build upon Timely and relevant analyses and reports for operational use Completion of complex reporting and analysis requests Creation and maintenance of documentation of QuestBridge data and data processes Periodic record consolidation and data cleaning in collaboration with other data-oriented staff Ability to support any data-related operational tasks across the organization Travel to events to interact and support students and apply these experiences to continuously improve programming Read and evaluate student applications for the College Prep Scholars Program, National College Match, and other various opportunities Other duties, as assigned Minimum Qualifications Relevant work experience of at least 2 years Analytical thinking on how data can support program management Experience working with multiple sources of data Ability to leverage code to conduct data cleaning, data wrangling, and analyses Familiarity with some or all of the following: SQL Python (Pandas, Scikit Learn, etc.) R Git Statistics Exceptional attention to detail Strong written, and verbal communication skills Ability to track, manage, and implement multiple projects from start to finish (organizing bandwidth, workflows, and multiple deliverables for on-time delivery) in fast-paced environment Ability to incorporate feedback Track record of taking initiative Passion for QuestBridge’s mission Preferred Qualifications Bachelor’s Degree in Computer Science, Statistics, Economics or another quantitative field or relevant experience Experience working with data in the education sector Track record of producing analyses that result in meaningful decision-making Experience increasing efficiency of processes, and automation of analyses and reporting Experience using CRM platforms and application Compensation Competitive compensation is commensurate with experience and skills for the position. Hours and Location of Work This is a full-time position remote within the US. Employees will be expected to be engaged online and travel approximately once per quarter. Application Process Please include a thoughtful cover letter with your application, and a sample of past data-related projects and any relevant code from the project. Apply Now! Thank you for your interest in employment with QuestBridge. QuestBridge is an equal opportunity employer.
Analytics Manager Data Science And Analytics	Questbridge	QuestBridge is a national nonprofit program that connects the nation's brightest students from low-income backgrounds with leading institutions of higher education and further opportunities. The Analytics Manager position offers a unique opportunity for someone passionate about applying their data, and management experiences to enhance educational programs and contribute to the growth of a far-reaching entrepreneurial social venture. Reporting to the Director of Data Science and Analytics (DSA), this person will manage projects and people, and execute on data-related operations and initiatives, often working across multiple teams at QuestBridge. Our Analytics Manager will have the opportunity to collaborate with program, data, and engineering team members across other departments for thought partnership, feedback, and growth. In addition to data science and analytics experience, this position requires a strong focus on rigor, communication, project management, and systems-thinking. If you will enjoy applying your skills to data initiatives that fuel QuestBridge’s mission, we look forward to reviewing your application! Role and Responsibilities Success in this role is defined by achieving the following: Well-documented code that others can easily reuse and/or build upon Timely and relevant analyses and reports for operational use Completion of complex reporting and analysis requests Creation and maintenance of documentation of QuestBridge data and data processes Successful management of multiple priority areas (College Programs, Alumni Programs, and others) and team members to achieve strategic and programmatic objectives and key results Improvements in QuestBridge’s data consistency, accuracy, and usage Detailed understanding of all relevant internal, and external data related to priority areas Periodic record consolidation and data cleaning in collaboration with other data-oriented staff Ability to support data-related operational tasks across the organization Travel to events to interact and support students and apply these experiences to continuously improve programming Read and evaluate student applications for the College Prep Scholars Program, National College Match, and other various opportunities Other duties, as assigned Minimum Qualifications Relevant work experience or training of at least 4 years Demonstrated experience working in a centralized role that requires collaboration with many teams across a given organization Previous success in leading data initiatives for impact (scoping, managing stakeholders, visualization, insights, improved decision-making) Ability to leverage best coding practices to conduct data cleaning, data wrangling, analyses, and build data products Familiarity with some or all of the following: SQL Python (Pandas, Scikit Learn, etc.) R Git Statistics Functional programming Exceptional attention to detail, with ability to maintain focus on the larger picture Strong written, and verbal communication skills Ability to manage multiple projects from start to finish (organizing bandwidth, workflows, and multiple deliverables for on-time delivery) in fast-paced environments Ability to incorporate feedback Track record of taking initiative Passion for QuestBridge’s mission Preferred Qualifications Master’s Degree in Computer Science, Statistics, Economics or another quantitative field or equivalent experience Experience working with data in the education sector Experience increasing efficiency of processes, and automation of analyses and reporting Experience using CRM platforms and application Compensation Competitive compensation is commensurate with experience and skills for the position. Hours and Location of Work This is a full-time position remote within the US. Employees will be expected to be engaged online and travel approximately once per quarter. Application Process Please include a thoughtful cover letter with your application, and a sample of past data-related projects and any relevant code from the project. Apply Now! Thank you for your interest in employment with QuestBridge. QuestBridge is an equal opportunity employer.
Data Scientist Argentina	Andela	About the role Andela’s two-sided marketplace is a multifaceted hub of experienced talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns and many others. Data Science is a key weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. A Data Scientist at Andela will be involved in building ground breaking solutions often embedded in products serving both the marketplace and various business functions. You will be defining solution architecture, crafting the appropriate machine learning / optimization / experimentation model and guiding the execution of this model in collaboration with the Andela data, engineering and product teams. Responsibilities: Work with the Principal Data Scientist and other business partners to identify problem domains and corresponding data science approaches Develop the Minimum Viable Product (MVP) version of the solution Deploy the solution in production in collaboration with the data, engineering and product teams Requirements: Graduate degree (MS/Ph.D.) in quantitative field such as Economics / Statistics / Operations Research / Computer Science 2-3 years work experience applying quantitative methods to business problems Flexibility in working with a variety of data science approaches Hands-on with coding, Python strongly preferred Nice-to-have: proficiency in mathematical modeling #LI-MV1
Data Science Manager	Infogrid	Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building. Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months. Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this! We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work. Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this. Using data science we are developing a platform to help facilities managers increase the comfort for occupants of their buildings whilst decreasing their costs and environmental impact. Through both direct sensor readings and inferred, machine learning-based outputs we surface previously unknown or unmeasurable information to offer a holistic picture of buildings and their use. As a result we can offer insights, recommended actions, and predictions to aid planning in a real-time fashion never before possible or practical - for reasons both of hardware availability as well as data storage and processing. We innovate at the edge of what can be done in the new era of IoT, and data science is central to the company’s goal of offering ever-more useful insights to our clients. We maintain strong software development practices at all times and, above all, a mindset focussed on deployment. It is through this culture the data science team ensures its effectiveness and ability to quickly deliver value to our clients. In this way the data science team remains central to all stages of product development from innovation, development and testing, deployment, iteration and ongoing maintenance. We seek those with a strong focus on product development and driving customer value alongside robust software development best practice, mathematical and machine learning focus, management of machine learning deployment, and a growth mindset. In the Data Science Team We: Design novel software applications based on sensor inputs and machine learning models from concept through physical experimentation with sensors, to development of software products, to production deployment in the cloud Collaborate with other domains of the business such as DevOps, front- and backend-development teams, sales, and product development Experiment with new technologies to harness an unparalleled dataset through innovative ideation Retain robust software engineering practices at all times with an eye always on long-term maintainability, readability, reliability We Look For: A strong academic background grounded in mathematics and statistics, or equivalent work experience A fluent level in Python A self-directing attitude and a growth mindset Experience innovating new machine-learning products for real-time event-driven applications is desired Always a preference for the 80% solution in production over the perfect solution on a laptop A keen interest in product development and awareness of commercial factors Experience deploying machine learning models in production environments is required Demonstrated success in a line management position is required What You Would be Doing: Line management, training, coaching for your immediate reports as well as the wider team Championing good software design and code quality through code reviews Regular setting of goals and working to ensure good alignment across the various software development teams in the company as well as product development prioritisation Owning planning and implementation of projects over the course of a quarter and beyond Implementation of software solutions; whilst reduced owing to the focus on management there is still an expectation of impact through software and model development We think Infogrid is a great place to work - we’re a recently funded and rapidly growing startup so it’s not perfect but: ❤️ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint. 🤸 We’re flexible: We encourage remote working and offered flexible working hours before COVID and we’ll keep that flexibility afterwards. 📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here. 🌟 Improve yourself: We give everyone a day per month to focus on personal development. 🧑🏽‍🤝‍🧑🏽 Make friends: Everyone here is lovely. 🏠 Added bonus: We give everyone options in the company. 🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream. And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.
Data Scientist	Housecanary	HouseCanary is creating a more efficient real estate marketplace, where its trusted property valuations help consumers and investors enjoy a frictionless experience in buying, financing, and improving their homes. By working directly with institutional investors, HouseCanary already powers more than $200 million in real estate transactions each month. Through partnerships with leading financial institutions, HouseCanary’s ComeHome platform will enable consumers to close on more than $100 billion of real estate transactions this year. HouseCanary recently raised $65M in Series C funding as our team continues our hyper-growth. Founded in 2013, HouseCanary has built its reputation on developing unique analytics for the $30.7 trillion residential real estate market, based on big data and refined through machine learning. By combining this technology with its nationwide brokerage, HouseCanary is uniquely positioned to connect investors and consumers alike to the information that they care most about in an effort to modernize and streamline the home buying and home ownership process. We are recognized on Built-in's Best Places to Work, including: Colorado Best Places to Work Colorado Best Midsize Companies to Work For Colorado Best Paying Companies SF Best Midsize Companies to Work For We are Inc. Magazine's Best Workplaces Honoree 2022 We’re seeking a passionate Data Scientist to help develop and implement best-in-class analytical models used to power HouseCanary products. What you'll do: Help product managers, stakeholders, and data analysts derive the most value out of research models, algorithms, and discoveries by communicating research output in an easily digestible fashion Aid in communicating research outputs to potential and current clients Define, build and own statistical and machine learning models, algorithms and bodies of research Collaborate with data engineers to integrate models and various research initiatives into HouseCanary products Derive new key performance metrics for measuring model performance and stability Evaluate new data sources for quality and core model impact What you have: Undergraduate degree in statistics, mathematics, economics, engineering or another quantitative discipline At least one year of model building experience or experience implementing models in a real-world application Advanced knowledge of one or more programming languages. At least one of these being R and/or Python is required Intermediate knowledge of SQL is required Special consideration for: Knowledge and experience in the residential real estate market Experience interacting with external clients in an analytics-oriented role We strongly encourage people of color, women, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. HouseCanary is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know. In your application, please feel free to note which pronouns you use (For example - she/her, he/him, they/them, etc).
Data Scientist Square For Retail	Square	Company Description Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same. Job Description From the cozy local wine store to the trendy sneaker pop-up, the Retail team at Square is equipping retail sellers with simple solutions to complex problems - like predictive analytics and fluid, omni-channel capabilities to meet customers wherever they are. Square’s mission is economic empowerment, and Data Scientists support this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience. You and your fellow data science & analytics teammates on the Retail Analytics team are embedded within product and marketing sub-teams (“squads”), leveraging data engineering, analytics, statistics, and machine learning to empower data-driven decision making in the full life cycle of product development. You will: Partner with the product, design, and marketing stakeholders to identify, prioritize, and answer the most important questions where analytics can have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick heuristic or visualization) are preferable to complex solutions (e.g. machine learning)Contribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at SquareProvide comprehensive day-to-day analytics support to partner teams, developing tools and resources to empower data access and self-service so your advanced expertise can be leveraged where it is most impactful Qualifications You have: 2+ years of analytics experience Fluency in SQL, with experience exploring and understanding large, complex datasets & data systemsExperience working with technical and non-technical partners, such as product managers and product marketing managersExperience with statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, clustering user archetypes, or predicting churnVery strong communication skills: ability to clearly communicate complex results to technical and non-technical audiences in verbal, visual, and written mediaExperience maintaining a backlog and performing independently Even better: Experience with a BI tool such as Looker or Tableau Experience with data warehouse design, development and best practicesA degree in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field Technologies we use and teach: SQL (Snowflake)OptimizelyAirflow (ETL)Looker, Amplitude, TableauPython (pandas, scikit-learn, etc.) Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Square Debit Card	Square	Company Description Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. Job Description Square Debit Card launched in January 2019 as the newest product to serve sellers' cash flow needs, offering them free, instant access to their card processing sales. The business debit card has grown at a strong clip over the last three years, and it is now a core part of the suite of cash flow products we are building out. As a Data Scientist, you will be embedded within the Debit Card product team, leveraging data engineering, analytics, statistics, and machine learning to empower data-driven decision making in the full life cycle of product development. In this role, you will collaborate closely with product managers, designers, engineers, and other cross-functional team members to ensure that our cash flow products amaze and delight sellers. You will: Partner with product, design, and marketing stakeholders to identify, prioritize, and answer the most important questions where analytics can have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick heuristic or visualization) are preferable to complex solutionsContribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at SquareProvide comprehensive day-to-day analytics support to partner teams, developing tools and resources to empower data access and self-service so your advanced expertise can be leveraged where it is most impactful Qualifications 3+ years of analytics experience and a Bachelor's degree or equivalentFluency in SQL and familiar with a scripting language like PythonExperience exploring and understanding complex datasets and data systems, leveraging statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, cross-selling, clustering user archetypes, and predicting churnExperience working with technical and non-technical partners, such as product managers and product marketing managers, on product development and growth initiativesStrong communication skills: ability to clearly communicate complex results to technical and non-technical audiences in verbal, visual, and written media[Bonus] An advanced degree (M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field[Bonus] Background with banking products, such as credit card or debit card Technologies we use and teach: SQL (Snowflake)OptimizelyAirflow (ETL)Looker, Amplitude, TableauPython (pandas, scikit-learn, etc.) Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Sr Product Data Scientist	Square	Company Description Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place. Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together. There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same. Job Description As a Senior Product Analyst, you will be responsible for partnering with Product mangers to own data for the entire product. You will be developing ongoing analyses and reports to support our expanding Merchant(Seller) product suite. You will analyze integration, retention, adoption, product funnel plus other pertinent aspects of product launch/operation/GTM etc.You will also analyze business performance, deliver data driven business insights for decision making, and provide insights on product features, services (as for both new concepts and existing products), design A/ B testing and communicate findings. Key Responsibilities Work closely with the leadership team, Product and Engineering & other stakeholders to understand their data science needsDevelop a formalized process to identify, analyze, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholdersDesign and conduct analyses, build datamarts, ship dashboards to provide insights at scale that support growth strategiesAssist Product & other stakeholders teams in developing methodologies/framework to accurately assess and measure impact of our business strategySupport targeted business activities, including opportunities for product and process improvement with a focus on driving significant business growthDesign and execute A/B and multivariate testsIsolate, identify and communicate data issues and own data quality for the analyses and reports producedMonitor and analyze data reports/dashboards/pipelines and do RCA & troubleshooting of issues that arise Qualifications You have: 5+ years of industry experienceAre self motivated and curiousTechnical initiative and leadership on previous projectsAn ability to uphold a high technical bar while making pragmatic tradeoffs.Bachelor’s Degree in Computer Science Technologies we use: SQL, PythonAmplitude, Sumo Logic (optional)Looker, Tableau, GitSparc, Hadoop, Hive, Databricks, Snowflake is not a must have but good to have Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Growth Retention Marketing	Square	Company Description We believe the economy is better when everyone has access. When everyone has room to grow. No one should be left out because the cost is too great or the technology too complex. We started with a little white credit card reader but haven’t stopped there. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone. Job Description Data Scientists on the Growth Retention Marketing team leverage analytics, machine learning, and data engineering to empower data-driven decision-making in campaign strategy development for our product marketers and product development for our Automation teams. This team builds platform tools to enable stakeholders to grow and retain customer bases, leads experimentation and growth initiatives, collaborates with product teams to optimize and automate communication solutions, and drives strategic decisions with data. Your role will be a hybrid of traditional roles in product analytics, data engineering and business intelligence. You will need to summarize trends and insights through the vast amount of data captured by Square, and develop applicable strategies to grow Squares sellers and their engagement with Square products through the platform. You will: Identify challenges in Square’s cross-sell strategy and define key metrics to measure successLeverage descriptive and predictive analytics to understand the impact of Square-owned growth and retention channelsConceptualize, build and maintain data pipelines and dashboards to visualize growth performance and power data-driven decisions. Partner with Square’s product marketing teams to experiment and implement new cross-sell and engagement strategiesOwn, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate insights and action plans to high-level stakeholders and executives in verbal, visual, and written media Qualifications You have: 3+ years of data science experience and a Bachelor's degree or equivalentExpert in both SQL and PythonProven ability to lead cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying machine-learning techniques to solve practical problems such as predicting churn, cross selling, clustering user archetypes, and moreStrong business acumen and ability to translate business challenges into hypothesis testing and deep dive analysisFamiliarity with data warehouse design, development, and best practices Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD54566975, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD54566975 is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Measurement	Square	Company Description Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place. Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together. There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same. Job Description Square’s Decision Science organization is tasked with understanding marketing attribution as well as Seller value (LTV/CLV) in order to help us optimize go-to-market efforts. Within Square, the Measurement Analytics & Data Science team will collaborate with their Machine Learning modeling counterpart, Measurement ML, and stand at the forefront of these efforts. Together, these two teams own the concepts behind attribution and Seller value on behalf of Square, advancing the discipline forward to meet the increasing complexity of our go-to-market and product ecosystems. As a member of the Measurement Analytics & Data Science team, you will co-own and represent the concepts of attribution and value for Square, and will be the first point of contact for these critical metrics. You will work closely with business, finance, and analytics partners from across the company as well as our Data Science and Machine Learning modeling teams To accomplish these business critical needs, you will ingest and analyze the predictions produced by our modeling team, then curate this data downstream to internal consumers in the form of data sets, business intelligence products, detailed reports, and actionable recommendations. In parallel, you will partner closely with our modeling team as well as their stakeholders to iterate and improve our attribution and value measurement models to help us develop and maintain a best-in-class suite of ROI measurements We want employees to be able to reside where they feel most creative and productive. You will be part of an org that works across pacific, central, and eastern time zone(s). In this role, you and your direct team will be primarily organized and operating within the pacific standard time zone. This role is open to all people who can be effective partners with this team, including sharing typical working hours. You will: Act as a first point of contact between business stakeholders and our Machine Learning team, investigating and triaging issues we see in the dataProduce a suite of analytics and BI solutions that allow a wide variety of stakeholders to understand attribution and value Explain the ideas behind attribution and value measurement throughout Square Work alongside our business, finance, and Machine Learning modeling functions to develop measurement solutions for the futurePresent to and collaborate with a variety of stakeholders across the company to evangelize, align on, and implement new models and solutions Qualifications You have: 5+ years of experience in quantitative analytics, data science, and analytical consultingNimble with SQL, Looker, Python, and other quantitative analytics languages and toolsFamiliarity with the domains of marketing attribution, lifetime value modeling, and ROI measurementsStrong written and verbal communication skills with the ability to explain technical data to a variety of executives and stakeholders across the companyFluency of data analytics with the ability to independently contribute to technical output Ability to quickly and deeply understand our product ecosystem, business, marketing strategy, metrics, and modelsFamiliarity with data warehouse design, development and best practices Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Ecommerce	Square	Company Description Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place. Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together. There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same. Job Description The Square eCommerce team, formed with the acquisition of Weebly in May 2018, is on a mission to make it incredibly easy for anyone to sell online. This role will be focused on working with the product team to build and improve the Square eCommerce experience. The ideal candidate understands and loves seeing the impact of their work translate into product changes and improvements. The role will involve working on the product from end-to-end, thinking about everything from how a merchant sets up their online presence to how a shopper browses online. You’ll be formulating analyses using a rich dataset to track feature usage and performance, identify potential gaps and opportunities, and make recommendations to stakeholders. This role will challenge you to think strategically and contribute to high-level discussions with senior leadership and peers across Square. You Will: Partner with product managers, engineers and senior strategy leaders to improve the product. Make sure the right questions are being asked, solicit feedback, and iterate until you reach meaningful conclusions backed by solid analysisDefine KPIs, build ETLs, construct dashboards and other tools for you and other stakeholdersDesign and analyze A/B experiments to evaluate the impact of changes we make to the productUse SQL on a daily basis to develop data pipelines, write complex queries, and perform analysisBreak down nuanced, complex data for stakeholders, keeping context at the forefront of communicationBe faced with tough, open-ended questions. You’ll need to stay focused and be judicious about where you spend your time when there are endless possibilities Roll up your sleeves to solve problems and challenge assumptions. Don’t be afraid to speak up when you’ve formulated a well substantiated opinion Develop, debug, and improve data models. Our product moves fast and new data doesn’t always play nice with existing models. Think about how to ingest and store data in the most useful and scalable format. Qualifications 2+ years of experience in an analytics role (e.g. web analytics, product analytics, data science)Strong SQL and familiarity with a scripting language such as Python or R requiredGreat product instincts and natural curiosity Ability to manage competing priorities from multiple stakeholdersConfident and thoughtful communication styleAbility to develop trust and accept feedbackExcellent troubleshooting skills and attention to detailExperience with BI reporting tools is preferred (Looker, Tableau, etc)Quantitative background (eg, bachelor’s degree or applicable training/experience) Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Developer Empowerment	Square	Company Description Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place. Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together. There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same. Job Description The Developer Empowerment team at Square enables developers to be productive and effective by building foundational components, frameworks and tools that aid all stages of the software development life cycle. Data scientists on the team play a critical role in defining and implementing metrics that capture various aspects of SW development. They help our teams understand user needs and product gaps through better data and guide them in decision making and prioritization. You Will: Design and implement metrics, dashboards, reports, and deep-dive analyses to measure how well we are meeting the needs of developers and our partner teams and inform where we should invest to improve software development at SquareApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsLead and coordinate on complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaDevelop resources to empower data access and self-service so your expertise can be used where it is most impactful Qualifications 2+ years of analytics experience, or equivalentFluency with data, analytics, and visualization technologies (We primarily use SQL, Looker, and Python)Familiarity with fundamental software engineering tools such as version control software (we use Git) and build systemsExperience with using, and ideally building, ETL pipelines to process large amounts of dataDemonstrated ability to independently prioritize and lead analytics projects in collaboration with multiple product and engineering managers as an analytics partnerAbility to clearly communicate complex results to technical and non-technical audiences in verbal, visual, and written media Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Underwriting Analytics	Coalition	About Us Founded in 2017, Coalition is on a mission to solve cyber risk and create a safer digital economy where everyone can thrive. Digital risk is now a part of every business and it’s no longer solely the domain of technical teams. That’s why we combined comprehensive insurance with proactive cybersecurity tools to help organizations stay resilient to digital risks like cyber attacks, funds transfer fraud and much more. Our team works collaboratively across North America and Europe to prevent security failures and provide both technical and financial help when incidents do occur. Today, Coalition is the world’s largest commercial insurtech serving over 130,000 customers including many small businesses that rely on Coalition to help them chart a path forward in the new digital world. As of September 2021, Coalition has raised $520 million from leading global technology investors as well as highly-regarded institutional investors including: Index Ventures, Ribbit Capital, Valor Ventures, Durable Capital, T. Rowe Price Advisors, and Whale Rock Capital, valuing the company at more than $3.5 billion. Coalition has experienced tremendous growth by helping organizations of all sizes solve real-world problems and by remaining true to our founding values of character, humility, responsibility, authenticity and diversity. That’s why we are proud to be named one of Inc’s Best Places to Work in 2021. About The Role Coalition is looking for a data scientist to join our rapidly growing data science team to find a solution to underwriting challenges. You will use analytics, experimentation, and modern statistical techniques to help us identify and improve our underwriting system. you will be accountable for growing our revenue in a safe and efficient manner, from informing pricing strategies to better market segmentation to identifying/executing on further automation opportunities. This role requires an aptitude to partner with our head of underwriting and other key stakeholders to quickly identify emerging trends in our underwriting data and effectively communicate clear, actionable strategies across the company. Responsibilities Evaluate our current underwriting practices and compare them against industry trends Assess intricate processes and workflows to identify and implement improvements to increase productivity and improve cycle time. Assist reporting, analytics, and machine-learning needs of the entire Underwriting team Proactively drive conversations with key business stakeholders to drive continuous underwriting improvements Guide the company's underwriting + pricing KPIs, assessments, and data visualizations Assist the company's governance, risk, and compliance programs as they relate to our pricing/underwriting systems Create and maintain documentation that will assist the effective implementation of repeatable processes and workflows Spread data science top practices to both data science and underwriting team Skills and Qualifications 2+ years of experience in a professional analytics / data science capacity Experience writing SQL queries to extract and prepare data for modeling and assessments Strong logical skills with the experience to collect, organize, assess, and disseminate significant amounts of information with attention to detail and accuracy Experience to think objectively and interpret meaningful themes from quantitative and qualitative data Experience to build constructive and effective relationships with a broad and diverse group of business partners Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work Strong communication skills and aptitude to convey intricate topics to non-technical audiences Passionate about subjects such as experimental design, data visualization, and statistical assessment techniques Bonus Points Experience working in Tableau/Looker or similar data visualization tool a big plus Experience within the insurance or financial services industry, with a focus on underwriting Experience with Python or R A Bachelor's degree in Computer Science, Mathematics, Economics, Statistics or related technical field Why Coalition? Coalition's culture is one that strongly values humility, authenticity, and diversity. We want to work with people of different backgrounds and different paths in life, and we trust our team members to take responsibility, share ownership and work for one another. We are always looking for collaborative, inquisitive and dedicated individuals to join our team. Coalition Engineering Our culture is one of character, humility, responsibility, purpose, and authenticity. We are growing rapidly and that growth is enabled by strong teamwork, communication, and mentorship. We want people who are passionate about becoming experts in both the business and the technologies that support it. Our core platform is written mostly in Python with some services in Java and Go. We prefer to use the right tool for the job and make pragmatic decisions about how to scale and de-couple systems as we continue to grow. We’re looking for someone who can navigate a cloud environment (AWS) with many moving pieces and systems to help the team understand how they fit into the broader puzzle. Recent press releases: Coalition Closes $205 Million Series E, Valuing the Cyber Insurance Provider At More Than $3.5 Billion Coalition is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #LI-REMOTE
Data Scientist	Stuart	Stuart (DPD Group) is a sustainable ًںŒ± last-mile logistics company that connects retailers and e-merchants to a fleet of geolocalised couriers across several countries in Europe.آ Our Mission ًںڑ€ We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet todayâ€™s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience. Our motto: â€œMake every delivery a moment all of us can truly celebrate!â€‌ More than 3000+ leading brands already partner with us across Restaurants, Grocery, Retail & Luxury, eCommerce and Professional Services to deliver all types of goods at the tap of a button. Stuart is a highly diverse and inclusive company of 700+ employees with 90+ nationalities working across France ًں‡«ًں‡·, Italy ًں‡®ًں‡¹, Poland ًں‡µًں‡±, Portugal ًں‡µًں‡¹, Spain ًں‡ھًں‡¸ and the U.K. ًں‡¬ًں‡§ Itâ€™s the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision ًں™Œ About the Data Science Team ًںŒں You will join our Data Science team to develop algorithm-driven solutions for all business- and operations-related challenges at Stuart in order to scale our operations in Europe. Your focus will be to participate in the research on new algorithms and methods to address topics that are both pain and gain for Stuartâ€™s Business and Operationsâ€™ teams such as: - Demand & supply forecast: how many packages need to be delivered at any time and zone? and how many drivers are available at that time and zone? - Incentive optimization: how can we move the driver to high-demand zones while staying profitable? - Real-time fraud detection & prevention: how can we detect drivers rigging the system & call them out while doing so? - Ride acceptance prediction: how likely is it that a driver is in for the ride? - Driver lifetime value: how long and regularly will a driver work for us? - Client churn: do our clients still love us? - And plenty more ... We seek to develop and deliver machine learning services to enable making better business decisions and to provide operational smoothness. Our work is always a team effort where we analyze the conditions and boundaries together with business and operationsâ€™ stakeholders and implement high-performance & robust products together with our Platform & Data engineering teams. Our ultimate goal is to understand the business, determine the limits of state-of-the-art solutions, and break them! We are looking for a Data Scientist to join our gathering of 12 Physicists, Mathematicians, and Engineers who compose our Data Science team, striving to provide the most efficient and highest performing algorithms in the delivery industry. If you are passionate about high-performance algorithms for complex problems, big data technologies, or mathematical modeling of business problems, we can guarantee you're in for a ride. What will I be doing? ًں¤” Participating in scientific discussions about our algorithms and provide original insights. Developing data-centric services such as live short-term and static long-term forecasts, fraud detection, prediction of driver behaviors, personalized heatmaps, etc â€¦ Formulating hypotheses about the problem at hand. Designing experiments and A/B tests to verify our hypotheses and analyze the data to support them. Building a proof-of-concept machine-learning model and test it on actual business cases. Integrating the model into a production pipeline alongside platform & data engineers. Establishing a performance monitoring protocol for the production model/service. Playing and explore with data and technology to come up with groundbreaking ideas that our product team would have not dreamt of in their wildest dreams. What do we need from you? ًںکژ 2+ years of experience as a Data Scientist or any similar role (a least one year in non-academic positions). Solid background in probability / statistics. Ph.D. or MSc in quantitative Sciences (Mathematics, Physics, Computer Science, Biology). Proven experience in Machine Learning using Python, R, or Scala. Nice to have âœ¨ SQL and some NoSQL databases, such as MongoDB. Virtualization using Docker. Workflow management platforms (Airflow, etc.) Event-driven architecture (Kafka Streams, Spark Streaming, Flink, etcâ€¦) Distributed computing (Spark, Hadoop, etcâ€¦) The stuff you wanna know ًںک‰ Family-friendly work-life balance -آ work from home and flexible hoursآ ًںڈ، Wellness Allowance (آ£40 monthly) to use in any gym or sport class ًں§ک آ£200 per month for food (groceries / restaurants / food apps etc) ًں¥— Audible subscription Unlimited access to Udemy for all your learning and development needs ًں“ڑ Stuart Academyآ with regular workshops, Stu-Classes, and Stu-Talks ًںژ“ Stuart is puttingآ Mental Health Awarenessآ first! Wellness Allowance (آ£40 monthly) to use in any gym or sport class ًں§ک Private healthcare provided by AXA ًں§‘â€چâڑ•ï¸ڈ Pension taken care of through a partnership with Royal London. Five months paid maternity leave. Work in an international, dynamic and passionate environment with a company culture focused on learning and development ًںژ‰ Youâ€™ve read all this way but youâ€™re missing a skill or two? No problem, itâ€™s our job to up-skill you to take your career to the next level. What weâ€™re trying to say is, donâ€™t be afraid to apply if you donâ€™t tick all the boxesآ ًں’ھ At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their companyâ€™s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure their impact ًں™Œ Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We donâ€™t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status ًں’™ Please note: Our Talent Acquisition Team is international coming from across the world ًںŒچ We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English). Thank you ًں¤— Want to learn more about us? Visit https://stuart.com/about-us/آ
Data Scientist Lead	Findhotel	Are you an experienced leader with a strong background in Machine Learning and Programming? Do you have proven experience applying Machine Learning to solve real business, product, and user problems? Will you join us on a journey to disrupt the trillion-dollar travel industry? FindHotel believes travel is the one thing that opens minds to new ideas, cultures, and ways of thinking. Our mission is to get every traveler the best accommodation deal, worldwide. From adventure travel and backpacking to honeymoons and family vacations, we genuinely care that every traveler is able to make the best-informed accommodation choice, with the absolute best conditions, for every trip. We are looking for a Data Scientist Lead to join our Marketplace tribe. The Marketplace tribe owns the platform that is connected between accommodation offers suppliers and demand channels which expose them to millions of users. Empowering our users to find their ideal accommodation requires dealing with complex challenges, many of those are solved, or planned to, by core data products like real-time Pricing and Request optimisation, Hotel and Offer Sorting Order, Content Mapping, Deal Prediction and Recommendation, and more. What you will do: Lead the vision, design, and effort of turning our huge datasets into advanced data-driven products solving core business and user problems; Manage a strong and experienced team of two Data Scientists and work on expanding it. Provide technical guidance across several domains, and ensure appropriate methods are used to balance impact, time-to-delivery, and technical debt. Foster a learning environment and support team members in levelling up their skills;. Use a variety of data science, statistical, and engineering techniques to generate insights about user behaviour and market dynamics, and work closely with the Product team to turn those insights into product opportunities and data-driven solutions; Take-on projects end-to-end, from business questions all the way to production; Work hands-on and collaborate closely with Product Managers, Data & Software Engineers to productionise your product solutions; Become an internal and external thought leader in knowledge domains the team specialises in. Who you are: You have an M.Sc. or higher degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent industry experience; You have 5+ years of experience as a Data Scientist in non-academic settings, including at least one year of managerial experience; You have proven experience being the focal point for data-driven solutions in a Product team, tackling a wide range of problems, using technical, statistical, and machine-learning techniques to find insights and turn them into product solutions; You are product-oriented and have an impact-focused mindset. You are capable of identifying valuable problems, devising appropriate solutions, and delivering results - while maintaining the right balance between agility, accuracy, and engineering best practices; You have a strong grasp of at least one of the following domains: classic Machine Learning algorithms, NLP, or Image Processing; You have experience in building scalable algorithms integrated into a high scale real-time decision-making platform; You have advanced knowledge of a programming language used for data modelling, such as R or Python; You are familiarity with modern ML frameworks and services; You are interested in and willing to learn about the travel industry; Software engineering experience - advantage. Why join us now? We aim to help 10M customers book on FindHotel annually by 2023, up from 2M in the past 12 months. We do that using data, transparency & industry leading features and managed to overcome the corona crisis remarkably fast; The company is evolving quickly to position itself among the global leaders in the travel industry. It is an exceptional journey to make; challenging, exciting and a marvel to be a part of; We place huge importance on rewarding our employees for the value they generate by giving Stock Appreciation Rights to all employees. Do you want to know if FindHotel is the right place for you? Find out by reading about the attitude that thrives at FindHotel. What we offer: Plenty of chances to learn and grow within an open, diverse culture that promotes knowledge sharing, trust and transparency; A great compensation package + perks and benefits (including significant stock appreciation rights); Flexible time off (take as many holidays as you need) and a chance to work remotely; You will be part of a highly international team that enjoys working, eating & playing together in one of the best office locations in Amsterdam; We value good food and offer catered lunches from various cuisines; great coffee, ice-cream in the fridge and the occasional barbecue in our garden; We enjoy getting together to celebrate our wins with company events in Amsterdam and abroad; A budget for your dream home office; Access to free mental health support via OpenUp. We encourage people from all ethnic groups, genders, sexuality, ages and abilities to apply. If this job description resonates with you, we want to hear from you! Follow us on Instagram to see what life at FindHotel looks like
Data Scientist	Findhotel	Will you join us on a journey to disrupt the trillion-dollar travel industry? We are looking for the best and brightest who share our passion for travel, data, and product. FindHotel believes travel is the one thing that opens minds to new ideas, cultures, and ways of thinking. Our mission is to get every traveller the best accommodation deal, worldwide. From adventure travel and backpacking to honeymoons and family vacations, we genuinely care that every traveller is able to make the best-informed accommodation choice, with the absolute best conditions, for every trip. We are looking for Data Scientists (from mid level to senior) to join FindHotel and help us push our data-driven organisation to even higher levels. We are looking people with a strong background in Machine Learning, Statistics and Programming, and with proven experience applying Machine Learning to real business problems. You will be leading a variety of projects within our company to empower users find their ideal accommodation. What you will do: Design, build and test data-driven services that use machine learning and statistics to make our platform as effective as possible: e.g by providing visitors the recommendations that are most relevant to them. Help to improve our content mapping algorithm (record linkage/deduplication). Contribute to our deal prediction/discount detection efforts. Fine tune our hotel sorting algorithm by continuously trying/testing new methodologies and help us ingest more users, content and price-related data. Ensure content sorting and selection for our platform (image/text quality assessment). Perform real-time pricing and conversion optimisation at scale. Who you are: You have excellent Python and SQL skills. You are interested in and willing to learn about the travel industry. You have a solid mathematical background (from statistics to calculus). You have the ability and interest to work with huge amounts of high-dimensional travel data. You have experience with modern Python ML stack and concepts [gradient boosters, neural networks (NN) architectures, feature extraction, online/offline validation approaches]. You have at least 3 years of experience in productionizing complex pipelines (ML or any other quantitative development environment). You have experience in building scalable algorithms, you have some knowledge about computational complexity and data structures. Experience in any of the following problems is a plus: record linkage (image and text similarity), price prediction, named entity recognition/textual data normalisation, learning to rank, reinforcement learning. Why join FindHotel now We aim to help 10M customers book on FindHotel annually by 2023, up from 3M in the past 12 months. We do that using data, transparency, and industry leading features, and managed to overcome the corona crisis remarkably fast; The company is evolving quickly to position itself among the global leaders in the travel industry. It is an exceptional journey to make: challenging, exciting, and a marvel to be part of; We place huge importance on rewarding our employees for the value they generate by giving Stock Appreciation Rights to all employees. Do you want to know if FindHotel is the right place for you? Find out by reading about the attitude that thrives at FindHotel. What we offer: Plenty of chances to learn and grow within an open, diverse culture which promotes knowledge sharing, trust and transparency; A great compensation package + perks and benefits (including significant stock appreciation rights); Flexible time off (take as many holidays as you need) and a chance to work remotely; You will be part of a highly international team that enjoys working, eating and playing together in one of the best office locations in Amsterdam; We value good food and offer catered lunches from various cuisines, great coffee, ice-cream in the fridge and the occasional barbecue in our garden; We enjoy getting together to celebrate our wins with company events in Amsterdam and abroad; A budget for your dream home office. Access to free mental health support via OpenUp. We encourage people from all ethnic groups, genders, sexuality, ages and abilities to apply. If this job description resonates with you, we want to hear from you! Follow us on Instagram to see what life at FindHotel looks like.
Product Data Scientist	Philo	Philo: TV on the Internet (TVoIP) At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data Science at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth, engagement, and retention-related problems across our streaming service. You’ll be working closely with other data scientists and engineers to build and deploy solutions directly for our service. We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. Some of the recent projects our Data Science team members have worked on include: Modeling to determine which early product behaviors predict conversion Creation of minimum detectable effect calculators for experiment sizing Deploying new content recommendation engines Identification of trending regional content Price sensitivity research and competitive market analyses Qualifications Philo is seeking a Product Data Scientist with demonstrated understanding of statistical modeling, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams. In this role the Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle. Responsibilities: Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features Own analytics, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features. Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings Key Qualifications: 6-10+ years of experience in a Data Science role Demonstrated ability to influence product roadmaps and business decisions with data Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques Experience with relational databases and SQL Ability to explain and present analytical methodology and results to non-technical audiences Expert with statistical analysis in either R or Python Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience More about Philo We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, and web), while delivering a large variety of content to our users. Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content! We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E. Projected Start Date: ASAPStatus: Full-timeLocation: Boston, NY, San Francisco, or remoteCompensation: Includes annual salary between $130K-$210K depending on experience and location, company stock options, and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: Full health, dental and vision coverage for you and your family Flexible working hours Generous paid parental leave Unlimited paid time off for vacation and sick leave $2000 annual vacation bonus (we pay you to take a two week vacation) $5000 annually for professional development and educational assistance $500 “TV stipend” for new employees to upgrade their home watching setup $1000 annual home office stipend for employees to upgrade their home work setup $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices Dog-friendly office And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Data Scientist Provider Experience	United Health Group	At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us and start doing your life's best work.(sm) The Provider Experience Data Scientist will leverage their expertise in data science and consumer analytics to create transformative data-driven solutions that lead to better consumer experience and higher efficiencies in the UHC Consumer operations domain. We’re looking for someone with advanced proficiency in statistics, model building, validation and deployment, natural language processing and machine learning techniques and a well-developed communication, data storytelling / visualization skill set. This role is responsible for the creation and evaluation of data science models using advanced statistical techniques and for generating data-driven insights by analyzing structured and unstructured data in the provider analytics domain. Individuals in this role will work closely with junior and senior data scientists and statisticians to deliver solutions across the UHC provider journey spectrum. By understanding the capabilities, strategies, financial and operational goals of stakeholders, successful individuals in this role will identify opportunities to leverage data science or core analytic solutions to drive higher efficiency and improve customer experience across UHG. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Work with vast amounts of data from multiple sources to develop/refine/improve predictive models using advanced Python and machine learning techniques. Significant focus on leveraging the unstructured and structured data from UHC provider journeys Deliver high-impact actionable insights to senior leadership and business operations; enable data-driven decision-making across the enterprise to improve the efficiency and effectiveness of UHC Operations, while focusing on provider experience improvement Perform exploratory data analysis from structured, unstructured, and diverse datasets; apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Helping source, clean, prepare and verify integrity of data to be used for analysis Discover and communicate actionable insights to decision makers. Make presentations to sr. executives and decision-makers Partner with various functions to produce innovative and transformative data science solutions which directly contribute to achieving enterprise goals and vision You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: Undergraduate degree in a highly quantitative field Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools (such as Tabeau or PowerBI), advanced proficiency in SQL Experience performing exploratory data analysis from structured, unstructured, and diverse datasets; apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Experience developing innovative analytic solutions, and predictive models, creating actionable insights, and drive better decisions and performance to help the business achieve its business objectives Experience developing queries and models to evaluate results and formulate solutions to drive process & performance improvement Experience developing visionary and creative analytic solutions to measure business performance; identifies / quantifies drivers, risks and opportunities and defines solutions to mitigate risks and leverage opportunities Experience influencing senior leadership to adopt new ideas, projects and / or approaches Experience working with vast amounts of data from multiple sources to deliver high-impact actionable insights to senior leadership and business operations; enable data-driven decision-making across the enterprise to improve the efficiency and effectiveness of UHC Operations Understand operations at a deep level, develop metrics and report on critical outcomes Advanced proficiency in Python, with deep experience using libraries such as NumPy, Pandas, Maplotlib, scikit-learn, TansorFlow, etc. Advanced proficiency in Excel Demonstrated business focus; excel at connecting business requirements to analytic objectives and to measurable business benefit Demonstrated partner with various functions to produce innovative and transformative data science solutions which directly contribute to achieving enterprise goals and vision Serve as a subject matter expert in data science. Provide guidance and mentorship to team members Preferred Qualifications: Master’s Degree or higher in a highly quantitative field 3+ years of hands-on experience in Natural Language Processing (NLP) based solution development, using machine learning in general and deep learning techniques Experience with Spark Demonstrated experience in solving problems like text classification using both supervised & unsupervised techniques, Natural Language Generation (NLU), entity recognition, transfer learning, language modeling and transformer-based architecture Experience in any of the following: Omnichannel strategy, Customer Service Analytics, Call Optimization and Experience with Spark Experience with cloud-based analytic services Demonstrated experience in frameworks such as FastAi, Hugging Face & Pytorch Advanced proficiency in fine tuning, training, and validating a text classifier algorithm Proficient in exploring & analyzing unstructured / text data and conclude findings/insights Obviation strategy, digital and messaging adoption, Provider behavioral analytics Careers with UnitedHealthcare. Work with a Fortune 5 organization that’s serving millions of people as we transform health care with bold ideas. Bring your energy for driving change for the better. Help us improve health access and outcomes for everyone, as we work to advance health equity, connecting people with the care they need to feel their best. As an industry leader, our commitment to improving lives is second to none. California, Colorado, Connecticut, Nevada, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington residents is $85,000 to $167,300. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives. *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment.
Performance Marketing Analyst	Usaa	Why USAA? At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation’s military, but we all share in the mission to give back to those who did. We’re working as one to build a great experience and make a real impact for our members. We believe in our core values of honesty, integrity, loyalty and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special! The Opportunity We are seeking a talented Performance Marketing Decision Science Analyst capable of leading teams and initiatives focused on continuous performance outcomes, implementing and testing new techniques/technology, improving customer experiences and driving improved marketing investment decisions to drive member and product growth plans. This Senior position can be based in one of our following office locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Tampa, FL, Colorado Springs, CO, Charlotte, NC or work remotely in the continental U.S. with occasional business travel. This is a critical role providing decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. What you'll do: Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate changeTranslates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). What you have: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. What sets you apart: Digital marketing analytical experience in Insurance, Banking or RetailHigh acumen in performance marketing with emphasis on digital landscape, including programmatic advertising, social, search, email as well lower funnel focused marketing channels such as affiliate and direct mailStrong communication and storytelling skills with an ability to synthesize data and deliver meaningful insights for actionExperience working within a continuous performance minded team, focusing on business outcomes and driving optimizations in a fast-paced environment with limited supervisionHigh acumen and application of Test and Learn – designing, leading, executing, and analyzing resultsExperience in marketing analytical processes and measurement frameworks and Adtech adoption. (MMM, Attribution Methodologies, Google Analytics, Adobe)Experience implementing emerging technology and techniques for analytical purposesExperience working within cross-functional team environments with strong relationship managementExperience working in Agile The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. What we offer: Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $104,660 - $194,200. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com. Relocation assistance is NOT available for this position. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Senior Product Data Scientist	Rec Room	Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Senior Product Data Scientist at Rec Room, you will be responsible for a large strategic area and will use data to be an advocate for our players. Your insights into what users are doing on the platform will inform broader team strategy and impact their short and long-term roadmap. You'll be equal parts leader, investigator, and storyteller, shaping experiences towards delighting players and building a sustainable business. As we scale, Product Data Scientists will embed within individual teams, and as the Senior Product Data Scientist, you would be expected to drive product thinking at the broader team level and guide other data scientists as needed. You might be helping the econ team think through how to scale the buyer and builder ecosystem, or helping the growth team think through how to give users more reason to return to the app. You might also help the User Generated Content team think through how to enable creators to build the best products, or the Social team how to make a player's experience more meaningful. The questions and potential for impact are huge. WHAT YOU'LL DO: Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond. Define top-level business and team KPIs, establish learning agendas, measurement plans, and success metrics in close coordination with the product team. Work with teams to build a culture of goal setting and accountability. Drive changes to our product roadmap based on quantitative insights. Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results. Contribute as needed to improve overall infrastructure - including building pipelines, data documentation, and dashboarding. Work with the ML team as needed to develop novel features and understand performance. WE ARE LOOKING FOR INDIVIDUALS WITH: 5+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes A Bachelor’s or Masters in Math, CS, or related field Significant expertise in experimentation methodologies Very strong knowledge of SQL Experience with Python or R is a plus Experience with manipulating and analyzing complex, high-volume data A constant desire to learn, improve, and help others improve Effective communicator with the ability to distill complex concepts into easily digestible insights COMPANY INFO TO KNOW: The base pay range for this position is $138,750-231,250 per year; however, the base pay may vary depending on job-related knowledge, location, skills, and experience. Stock options and, in some cases, a sign-on bonus may be offered as part of the compensation package. We also offer a full slate of benefits, including flexible vacation, medical, dental vision, life and disability coverage, long-term care insurance, FSA, commuter benefits, a 401(k) plan with company match, and a parental leave program. We also offer some not-so-standard benefits, including equipment, family, and pet care stipends. Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Crypto Data Scientist	Token Metrics	Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. As a machine learning engineer, you should demonstrate solid data science knowledge and experience. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models. Responsibilities Consulting with the manager to determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Stress testing, performing statistical analysis, and interpreting test results for all market conditions. Documenting machine learning processes. Keeping abreast of developments in machine learning. Requirements Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous. At least two years' experience as a machine learning engineer. Advanced proficiency with Python, Java, and R code. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities. About Token Metrics Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions. Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
Data Scientist Geospatial	Global Fishing Watch	The Position The Research and Innovation team at Global Fishing Watch connects data science and machine learning experts with leaders in the scientific community to produce new datasets, publish impactful research, and empower others to use our data. We aim to reveal the activity of all ocean-going vessels in the world. Because most vessels do not broadcast their locations using the automatic identification system (AIS), we need to draw on satellite imagery to see all vessels. Additionally, the ocean is experiencing an accelerated expansion of offshore infrastructure. Thus, to quantify the true global footprint of fishing and non-fishing vessel activity, as well as the evolution of fixed infrastructure at sea, Global Fishing Watch is applying deep learning and data fusion techniques to petabytes of satellite imagery (radar and optical), and AIS. The data scientist will play a key role supporting the Research and Innovation team’s work to integrate multiple data sources into the most complete picture of human activity at sea. The position’s major activities will include data fusion using statistical methods to combine the outputs of our object detection models and AIS. Other activities include, but are not limited to, improving the labelling of data for training object detection models, and developing algorithms for geospatial analysis to advance Global Fishing Watch datasets, as well as maintaining code repositories, and assisting the development of research projects. The successful candidate will have an interest in environmental issues and a versatile skill set in geospatial analysis, statistics and programming. The incumbent will build diverse technical skills in programming, big data, and cloud computing and gain a variety of experience working for a globally diverse, fully distributed, and growing organization. Principal Duties and Responsibilities Geospatial data fusion and analysis Improve upon methods in Kroodsma et. al (2022), including 1) matching radar/optical vessel detections to AIS and 2) estimating total vessel presence using the improved methods Integrate detections from multiple sources (e.g. Sentinel-1 SAR and Sentinel-2 optical), accounting for the recall of each model, length of the objects, cloudiness, and image resolution, among others Improve training datasets for vessel and fixed infrastructure detection models and build new training datasets for other human-made objects, potentially managing contractors to generate labels. Additional tasks may include Provide technical support to the senior data scientist(s) responsible for developing and advancing other Global Fishing Watch datasets Analyze large amounts of data from various sources, such as vessel activity, identity, and satellite imagery to identify trends, anomalies, and insights Maintain and improve automated processes to extract and compile data from publicly available sources, such as vessel registries Ensure the integrity and accuracy of key data pipelines and research tables Maintain and improve internal Python tools, such as modules and template repositories, to assist with migrating research projects from proof-of-concepts to automated prototypes Candidate description Qualifications you should have Graduate degree and at least two years of professional experience, or an equivalent combination of education and experience Experience developing analysis methods with Python Strong foundation in mathematics and statistics Experience in geospatial analysis of satellite imagery and remotely sensed data Ability to work with large datasets and visualize data effectively Experience with version control software and collaboration tools such as git and GitHub Highly organized, analytical, detail oriented and self-motivated Ability to work efficiently and with an eye for detail Willingness to take ownership of projects and effectively communicate updates in a transparent and proactive manner Ability to manage multiple priorities while performing in a fast-paced, collaborative environment Also great Some experience with additional programming languages such as SQL and R Familiarity with containerization tools like Docker Experience engaging with academic researchers and the peer-review process An understanding of the complexities and collaboration required to work effectively for a globally remote organization If you don't think you check all the boxes, but believe you have unique skills that make you a great fit for the role, we want to hear from you! Additional Information Reporting to: Senior data scientist Location: Remote Staff: Research and Innovation Hiring Process: If selected for consideration, the hiring process for this position will include a formal 45 minute interview with 2-3 staff followed by a 30 minute administrative call by an Human Resources manager. Candidates advancing beyond this round may be asked to take a technical assessment and/or submit a representative code sample. Lastly, an informal 30-45 minute call with 3-4 members of the Research and Innovation team will be held with finalists. Compensation: Compensation is commensurate with experience and will vary depending on the hired candidate’s country of residence, in accordance with local laws and regulations. For reference purposes, the estimated annual salary range for a US employee is $90,000-$100,000. Global Fishing Watch offers pension/retirement, health and other benefits commensurate with similar level Global Fishing Watch employees in the country of employment. Working Hours: Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. Global Fishing Watch works across different time zones and weekend work may be required on occasion. The post holder may be required to undertake periodic domestic and international travel. No overtime is payable. Equal Opportunities: GFW is an equal opportunities employer. We hire and promote qualified professionals without regard to actual or perceived race, color, religion, sex, sexual orientation, gender, national origin, age, disability, or any other characteristic protected by applicable law. We believe that our mission is best advanced when welcoming the contributions of people of diverse backgrounds, beliefs and cultures. We are committed to providing an inclusive and welcoming environment for all employees of GFW and our partners, vendors, suppliers and contractors. Please apply by Friday, 5 May 2023
Data Scientist Measurement Inference	Jasper	About the Role As a Data Scientist (measurement & inference) you will ensure that AI outputs fit customer preferences at granular scale via segmentation, experimentation, and developing models which anticipate and prioritize customer behavior. Our target market is composed of content creators and marketing leaders at growing companies. We help companies leverage artificial intelligence to accelerate content production and unlock their best ideas. We see AI as a partner to content marketers that can help them break through writer’s block, create fine-tuned imagery, and repackage content for different formats, languages and tones. The role is open to candidates located in the US and can be remote within the United States. We have offices in Austin, TX and Salt Lake City, UT with employees based across the US and Australia. We've built a strong foundation to support remote employee engagement with other teams. We have a mix of experience levels and backgrounds, and we’re building an environment that celebrates knowledge sharing, mentoring and career growth. What you will do at Jasper: Develop state of the art user segmentation and clustering, design and execute causal inference strategies employed now and in the future, set the strategic roadmap for intervention optimization beyond A/B experiments (bandits, etc.) Research measures of customer acceptance on generated output using state of the art large language models to extract semantic meaning, segmentation, clusters, and gauge quality and complexity. Own the experimentation roadmap for the data org, work with leadership to build strategic confidence in the experimentation framework, define what success looks like for the product roadmap. Implement large scale ETLs on metrics and measurements you develop to track, correlate to long term business outcomes, and work with partner teams to move them through experimentation. Test hypotheses and implement findings about how to improve user experience with the models that power our product. Once validated, working to implement findings as AI product modifications which increase customer delight or scale. Findings may also be used to advise our research partners or product managers on new directions What you will bring to Jasper: Experience getting AI/ML to value, including NLG and feature engineering. Experience with text, image, and other R&D communities is a plus (~2 years per level) Commitment to rigorous A/B testing and causal inference, as well as an interest in user experience and behavior, and trust and safety A willingness to be technique, method, and tool agnostic and systematically turn any knob that might improve customer outcomes Strong knowledge of frameworks such as TensorFlow, PyTorch, Keras Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range at offer for this role is $180,000- $258,000. Compensation may vary based on relevant experience, skills, competencies and certifications. Benefits & Perks Comprehensive Health, Dental and Vision coverage beginning on first day for our employees and families (Jasper.ai covers 100% of the premium for employees) Unlimited PTO 401(k) program with company matching Monthly wellness reimbursement and flexible time-off to encourage a healthy work-life balance Generous budget for home office set up Learning and development opportunities Paid parental leave Travel perk program Our goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.
Principal Data Scientist	Bolt	The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics. We are looking for someone to play a mission-critical role in designing and building the machine models for Recommendations, Personalization, Risk, and Fraud that powers Bolt. This should be someone with experience, creativity, and passion for producing world-class technology. Companies and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know. Responsibilities Build production ready machine learning models; your models will be the engine that powers all online commerce through Bolt Conduct data analysis to determine which policies we adopt and help inform strategic growth Build machine learning infrastructure, data pipelines and production ready services to serve live traffic Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business Be the go to technical individual contributing leader for all Data related questions, tasks, and projects at Bolt Requirements Degree in Computer Science, Computer Engineering, or related field 7+ years of experience building machine learning models for personalization, recommendation, or similar applications. Thorough understanding of machine learning fundamentals and methodologies Experience building and deploying machine learning models in an applied setting Strong understanding of how to build scalable ML systems supporting online and offline applications Experience working with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML Familiarity with best practices of lifecycle management for ML models in industry Mastery of a programming language such as Python, Java, Scala Preferred PhD in computer science or related field Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc. Industry experience in building large-scale recommendation systems in a consumer-based setting. Check out our Engineering Blog! #LI-Remote
Data Scientist	Prizepicks	Join us in our mission to become the most loved fan engagement platform. About Us: Performance Predictions is a sports technology start-up based in Atlanta that delivers innovative technologies focused on increasing sports fan engagement. With our flagship game, PrizePicks, we set out to build the most fast & simple fantasy sports game possible. The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data and the insights driven from that data. PrizePicks is looking for a Data Scientist with 2+ years of experience to join our Data Science team. You will be working closely with other data scientists, reporting analysts, and cross departmental directors to test business flows, make business recommendations, and provide novel business insights to leadership focused on driving revenue growth, optimizing marketing efficiency and optimizing retention efforts. Key Responsibilities: Data cleaning operations, wrangling and visualizations. Develop custom data models and algorithms to apply to data sets. Selecting features, building and optimizing classifiers using machine learning techniques. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications: Advanced knowledge of machine learning, data analysis and statistical modeling. Proficiency in statistics and statistical software applications, such as Python or R. Experience working with relational databases such as PostgreSQL. Data visualization and report building experience is a plus. Exceptional analytical and problem solving skills. Benefits you’ll receive: In addition to your competitive salary, medical/dental/vision coverage plans and matching 401(k), we’ll shower you with perks including: Break room with ping pong, end endless snacks and in-office lunch once a week. Unlimited PTO to encourage a healthy work/life balance. A modern work schedule focused on getting the job done well, not hours clocked. Company and team outings, we encourage a tight-knit workplace. Open office layout promotes collaboration, conversation and teamwork to drive results. Significant opportunity for growth and career development. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or takeover sponsorship or an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Apply Any questIons? Get in Touch
Data Scientist Ii	Western Governors University	The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.At WGU, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $103,100.00 - $149,500.00If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.Essential Functions and Responsibilities:• Identify new data sources that will improve the diversification of university data.• Deep knowledge of various data sources (government, open source APIs, web scraping, etc.).• Ability to write and process complex SQL queries.• Experience extracting meaning data from social networking platforms.• Basic understanding of regular expressions to extract data from semi-structured and unstructured data sources.• Understanding of online web scraping to get data from sources that don’t offer API data access.• Create predictive models leveraging machine learning algorithms.• Traditional statistical models (logistic regression, classification algorithms, tree models, etc.).• Machine learning algorithms (neural networks, decision trees, association rules).• Text mining and natural language processing.• Experience with very large data sets.• Background in setting up and maintaining big data processes.• Experience with Hadoop, Hive, and HBase in the Amazon AWS environment.• Efficient processing of large amounts of unstructured data.Knowledge, Skill and Abilities: Advanced SQL programming, ETL development, Spark, and big data Proficiency in Python, R, or Scala programming Experience with machine learning predictive modeling, time-series forecasting, statistical analysis Data reporting and visualization (e.g. Tableau, Cognos, Power BI) Business writing and communication Competencies: Organizational or Student Impact: Works on assignments of medium to complex level. Structure project plans and manages cost-effective execution of tasks. Limit errors to prevent impact to client operations, costs, or schedules. This individual will follow established processes and protocols. Problem Solving & Decision Making: Individual meets department and personal goals with some direction/ supervision. An important player on large technical projects and programs. Uses discretion to help design and implement solutions to somewhat complex problems. Communication & Influence: Communicates with contacts both within and outside of function on matters that require explanation, interpretation, and advising; typically has responsibility communicating to parties outside of the organization. Works to influence parties within the function at an operational level regarding policies, practices, and procedures. Leadership & Talent Management: May be responsible for providing guidance, coaching, and training to other employees within the technical area. May manage technical projects at this level, requiring responsibility for the delegation of work and reviewing others' work products. Job Qualifications:Minimum Qualifications: Bachelor’s degree in Statistics, Economics, Computer Science, applied mathematics discipline, business, or other related degrees. 4 years’ relevant experience in data analytics, business intelligence, or information technology Department Specific Minimum Qualifications: Advanced degrees (Master’s or PhD) in quantitative discipline with two years relevant work experience or bachelor's degree in quantitative discipline with four years relevant work experience Experience working with Agile methodology Demonstrated experience in project management Preferred Qualifications: Experience in Higher Education Experience working in Databricks 2 years’ experience with Python Physical Requirements: Prolonged periods sitting at a desk and working on a computer. Must be able to lift up to 15 pounds at times. #LI-ML#LI-REMOTE#AA#D&IAs an equal opportunity employer, WGU recognizes that our strength lies in our people. We are committed to diversity.
Data Scientist Ii Machine Learning	Credit Sesame	Credit Sesame is a financial app for consumers who want to be confident their finances are under control. The platform uses AI to help consumers achieve credit health and financial fitness by managing and growing their credit and cash together. An all-in-one app to monitor credit score daily, receive insightful credit improvement and finance recommendations, and find the right credit cards and loans. We’re seeking a highly motivated Data Scientist to join our team and build predictive models that impact credit-related decisions made by millions of members. This person will be responsible for developing, productionizing, maintaining, and monitoring ML models affecting all components of our business. As an ML Data Scientist at Credit Sesame, you will... Join a centralized Data Science team that is part of our larger Engineering org; Use Python and SQL to develop machine learning models whose predictions drive many key aspects of our business, ranging from deciding which email to send to which user on each day, to product recommendations at scale on our Web and App platforms; Work closely with our Data Engineering and MLOps teams to deploy these models across our Mobile App, Desktop, and Mobile Web platforms; Collaborate with the Analytics team to design and analyze experiments which test the performance of our models; Build parameterized dashboards (in Looker) to monitor both machine learning performance metrics and funnel metrics important to the business; Initiate and lead new modeling projects as well as support initiatives spearheaded by the Product team; Design and implement efficient pipelines both for model maintenance and for model deployment; Pitch your ideas and present your results to stakeholders including our CRM (customer relationship management), Product, and Marketing teams. It is expected that... You are strongly self-motivated, have a mindset of getting things done, are willing to pick up new skills as needed, and iterate quickly as appropriate; You can communicate clearly and confidently to technical as well as non-technical audiences; You have knowledge of machine learning packages (scikit-learn, XGBoost, etc.) and algorithms (logistic regression, random forest classifier, gradient boosting regressor, etc.); You have knowledge of Python visualization libraries such as Matplotlib and Seaborn; knowledge of Plotly, Streamlit, and others is a plus; You have strong proficiency in writing correct and efficient SQL queries; You are proficient at programming in Python, and at using Git (any other programming skills are a plus!); You have 2+ years of relevant experience, or a similar mix of experience and education in a quantitative field; You have knowledge of statistics and experiment design; You are comfortable with being process-driven like an engineer and purpose-driven like a business manager; You can work in a cross-functional team and manage multiple stakeholders; You can balance short-, medium-, and long-term objectives and successfully deliver on all fronts; You want to work, excel, and grow in a diverse, challenging, and highly collaborative environment. (Pluses) You have experience... Building machine learning models that were deployed as a service, with predictions being made in real time; Solving constrained optimization problems by leveraging business rules alongside machine learning models; Optimizing multi-step conversion funnels, spanning from impressions to clicks and ultimately to conversions; Building production-grade models for ranking content displayed to users; Developing models that optimize for business outcomes (e.g., revenue) without resorting to localized, greedy optimization (e.g., maximize short term revenue without regard for long term effects); Formulating and building models to predict customers’ Lifetime Value (LTV); Predicting customer churn and/or retention. You'll love us because... you’ll have equity in a pre-IPO company backed by top VCs; we offer comprehensive medical, dental, and vision insurance; we offer a monthly home office stipend; we offer a professional development stipend to support your continued growth we offer flexible paid time off; we have 10 paid holidays and additional 6 Sesame Wellness days; we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony. At Credit Sesame, base pay is one part of our total compensation package. Actual salary will vary based on a candidate’s location, qualifications, skills, and experience. Additionally, this role is eligible to participate in Credit Sesame’s equity plan. The estimated pay range for this role in the San Francisco Bay Area is $145,000 - $168,000 and outside of the San Francisco Bay Area is $138,000 - $160,000. We are open to hiring for this role in the following states where we are set up to hire employees: CA, CO, GA, NC, NJ, NV, OR, PA, TX, and WA. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. By clicking "Submit Application" (or related call to action), you acknowledge that you have read the Credit Sesame Employment Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Head Of Attribution Science	Square	Company Description Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square. Job Description The Decision Science organization at Square helps our sellers and our business grow by empowering decision making with data. The team provides Square with a variety of critical information such as go-to-market channel attribution, investment ROI calculation, merchant value measurement, product behavior analytics, and funnel performance. We achieve this by building remarkable data infrastructure, best-in-class analytics, data science, and machine learning solutions. We are looking for a senior Data Science leader with deep expertise in data driven attribution (just like you!) to lead efforts in building Square’s next generation attribution system. This system will be used by the executive leadership team to make strategic go-to-market investment decisions that will shape Square's future. You will: Be our in-house expert in data driven attribution to fuel Square’s growth.Build from scratch a suite of data science and machine learning solutions that will make up the core of Square’s next generation attribution system.Partner with executive and senior management from Finance, Marketing, Sales and other go-to-market channels to refine our growth strategy and inform investment decisions with data.Partner with third-party data providers to close the data loop for full funnel attribution.Hire and develop a highly talented team of data scientists, data engineers, and machine learning engineers.Develop efficient processes to ensure the team operates with high velocity, ownership, and self-accountability. Qualifications Deep expertise in statistical learning methods for go-to-market attribution and a track record of successfully building from the ground up end-to-end data driven attribution systems which may include algorithmic multi-touch attribution (MTA) and marketing mix models (MMM).12+ years of data science and machine learning experience.5+ years of experience in people management with a track record of building high-performance teams and growing talent.Demonstrated experience collaborating with high-level stakeholders across areas such as Finance, Marketing and Sales.Strong ability to manage stakeholder relationships and foster cross-functional collaboration effectively.Outstanding communication skills, coupled with a proven aptitude for influencing and persuading key decision-makers. Even better: Solid understanding of the advertising and martech landscape, including future trends in the evolution of this spaceExperience working in tech or fintech companiesUnderstanding of the B2B landscapeAn advanced degree (M.S. or Ph.D.) in Statistics, Computer Science, Operations Research, or a related technical field Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $245,100 - USD $299,500 Zone B: USD $245,100 - USD $299,500 Zone C: USD $245,100 - USD $299,500 Zone D: USD $245,100 - USD $299,500 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Benefits include the following: Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Decision Scientist	Square	Company Description It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. Check out our locations, benefits, and more at cash.app/careers! Job Description As a Decision Scientist, you will apply data-driven techniques to identify new opportunities, participate in project definition and prioritization and directly impact business strategy setting outcomes. There is a high expectation of proactively identifying, investigating, and resolving problems; designing and establishing key metrics; and the effective usage of various techniques such as statistical modeling, A/B experimentation and machine learning to drive the best decisions. Decision Scientists are not primarily responsible for the development of advanced ML algorithms, but they need to inform model performance evaluation. Therefore, they possess a general understanding of how ML models work and how to leverage their output for decision making and actioning. They are also expected to create offline ML models in the purpose of enlightening decision making, such as forecasting and segmentation. This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for: Customer Support - This team’s mission is to create better-than-human Customer Support Experiences. Cash App holds people’s money, and building customers’ trust is absolutely essential to our brand. Cash App’s mission is to serve the unbanked as well as disrupt traditional financial institutions. Providing fast and reliable help whenever the customer needs it is a major component of building trust and pursuing this mission. Our massive scale and deep trove of Support transcript data create an endless number of opportunities to leverage statistical models and machine learning in the analysis to better understand our customers and offer better experiences. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day. Ads & Incentives - This team is responsible for building data-driven solutions, strategies, in-depth analytics and dashboards in consumer experience in partnership with business stakeholders. This team drives monetization throughout the Cash App ecosystem and drives consumer engagement in delivering growth. Qualifications Technologies we use (and teach): Python (NumPy, Pandas, sklearn, xgboost, etc.)MySQL, Snowflake, GCP/AWS, Tableau, Looker You have: Advanced degree in Mathematics, Statistics, Computer Science, Economics or other quantitative field3+ years of experience in a data-driven decision making role in a domain that leverages applied ML regularly such as recommendation, ads and NLPSolid experience with data analysis and scripting in Python and proficient in SQLFamiliarity with ML techniques, applications and best practices in solving real world problemsProficient at defining, utilizing and communicating performance metrics with Product, Design and Engineering, etc.Proven track record of tackling ambiguous business challenges with minimal guidance and applying analytical/statistical methods to tackle real-world problems using big data Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $152,100 - USD $185,900 Zone B: USD $144,500 - USD $176,700 Zone C: USD $136,900 - USD $167,300 Zone D: USD $129,300 - USD $158,100 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Benefits include the following: Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Sr Product Data Scientist	Philo	Philo: TV on the Internet (TVoIP) At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data Science at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting engagement, content discoverability, experimentation, and retention-related problems across our streaming service. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service. We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye. Some of the recent projects our Data Science team members have worked on include: Modeling to determine which early product behaviors predict conversion Running experiments to evaluate content personalization Building data models for analysis of lifecycle marketing communications Price sensitivity research and competitive market analyses Qualifications Philo is seeking a Senior Product Data Scientist with demonstrated understanding of statistical modeling, A/B/n experimentation practices, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams. In this role the Senior Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo. Responsibilities: Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features and defining the metrics to evaluate those features Own analytics and tracking plans, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research Iteratively improve our experimentation methods and establish best practices for A/B/n experiments Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value, retention, win-back, and content consumption metrics Key Qualifications: 10+ years of experience in a Data Science role Demonstrated ability to influence product roadmaps and business decisions with data Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques Experience with relational databases and SQL Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences Expert with statistical analysis in either R or Python Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience Experience in writing production-quality code in R/Python, productionizing data models and statistical models with tools such as Git, Sagemaker, and dbt, and using software engineering best practices around version control, review, and automated testing More about Philo We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users. Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content! We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E. Status: Full-timeLocation: RemoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: Full health, dental and vision coverage for you and your family Flexible working hours Generous paid parental leave Unlimited paid time off for vacation and sick leave $2000 annual vacation bonus (we pay you to take a two week vacation) $5250 annually for professional development and educational assistance $1250 annual home office + TV stipend $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices Dog-friendly office And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Apply Now
Sr Growth Marketing Data Scientist	Philo	Philo: TV on the Internet (TVoIP) At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data Science at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth and marketing problems. You’ll be working closely with other data scientists, analysts, marketing managers, and engineers to build and deploy solutions directly for our service. We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye. Some of the recent projects our Data Science team members have worked on include: Modeling to determine which early product behaviors predict conversion to a paid subscriber Building in-house marketing attribution models to evaluate marketing channel performance (Marketing Mix Models and Multi-touch Attribution) Performing matched market lift tests in collaboration with marketing managers Price sensitivity research and competitive market analyses Qualifications Philo is seeking a Senior Growth Marketing Data Scientist with demonstrated understanding of statistical modeling (in R and/or Python), SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams. In this role the Senior Growth Marketing Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to building and delivering software tools for our marketing team, including measurement and experiment design, and from causal analysis and post-launch learning into the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo. Responsibilities: Build a deep understanding of how subscribers are acquired on each of our streaming platforms, including where they run into problems as well as proposing new approaches Develop a unified approach to measuring marketing performance by combining multiple methods of marketing measurement including Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate and iteratively optimize the performance of our marketing efforts Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value measurement and optimizing customer acquisition costs Establish curated dashboards and reporting that will serve as the primary source by which we evaluate the performance of our growth efforts Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings Build and deploy machine learning and statistical models such as Customer Lifetime Value, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, dbt, Robyn Key Qualifications: 10+ years of experience in a Data Science role Demonstrated ability to influence product roadmaps and business decisions with data Proven expertise in building and improving marketing attribution models, including techniques such as Bayesian methods for hierarchical modeling, ridge regression, and methods for handling missing data Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques Experience with relational databases and SQL Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences Expert with statistical analysis in either R or Python Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience Experience in writing production-quality code in R or Python and delivering software tools in an iterative fashion using software engineering best practices around version control, review, and automated testing More about Philo We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users. Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content! We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E. Status: Full-timeLocation: RemoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: Full health, dental and vision coverage for you and your family Flexible working hours Generous paid parental leave Unlimited paid time off for vacation and sick leave $2000 annual vacation bonus (we pay you to take a two week vacation) $5250 annually for professional development and educational assistance $1250 annual home office + TV stipend $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices Dog-friendly office And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Apply Now
Staff Data Scientist	Sofi	Social Finance Inc. seeks Staff Data Scientist in San Francisco, CA:Job Duties: Develop and test pricing strategies across different consumer lending products that optimizeprofitability through the improvement of revenue, credit risk, and cost per customer acquisition.Leverage pricing models to simulate profitability from pricing strategies and forecast changes to SoFi’scustomer credit portfolio. Build reporting pipelines and dashboards to deliver results of pricingstrategies to the business. Help manage the pricing team’s data architecture by building data pipelinesto extract, transform, and load data from various sources. Build intuitive and analytical models to helpdecision makers understand the price elasticity of customer segments. Run significance tests andcontinuously discover trends in customer behavior to inform decision making with a high level ofconfidence. Routinely present analyses to SoFi business leaders. Telecommuting is an option.Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science,Business Administration, Engineering (any field), or a related quantitative discipline, and two (2) years ofexperience in the field of data analysis/ operational research or two (2) years of experience in the joboffered OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, BusinessAdministration, Engineering (any field), or a related quantitative discipline, and five (5) years ofprogressively responsible experience in the field of data analysis/ operational research or five (5) yearsof experience in the job offered.Special Skill Requirements: (1) Python; (2) R; (3) SQL; (4) Tableau; (5) Process Improvement; (6) DataAnalysis; (7) Statistical Modeling; (8) Product Management; (9) Stakeholder Management. Any suitablecombination of education, training and/or experience is acceptable. Telecommuting is an option.Salary: $199,098.00 - $218,500.00 per annum.Submit resume with references to: Req.# 21-14278 at: ATTN: Rae Myles, [email protected]. #LI-DNI
Senior Data Scientist Machine Learning	Sofi	Social Finance Inc. seeks Senior Data Scientist (Machine Learning) in New York, NY:Job Duties: Develop, implement, and continuously improve machine learning models and strategies thatsupport various credit and operational procedures including but not limited to loan processing, loanunderwriting, loss mitigation, and fraud/account takeover identification, etc. Proactively identifyopportunities to apply advanced machine learning approaches to solve complex business problems.Explore and leverage in-house, external, and other open-source machine learning software/algorithms.Collaborate with Model Risk Management team to demonstrate models are developed with high levelrigor that satisfy Model Risk Management and Governance requirements. Work closely with the Productand Engineering teams for model deployment. Perform ongoing monitoring of the models through theconstruction of dashboards and KPI tracking. Present model performance and insights to Credit, Risk,and Business Unit leaders. Telecommuting is an option.Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science,Statistics, Mathematics, Physics, Engineering (any field), or a related quantitative discipline, and two (2)years of experience in the field of software engineering/program analysis or two (2) years of experiencein the job offered or Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Statistics,Mathematics, Physics, Engineering (any field), or a related quantitative discipline, and five (5) years ofprogressively responsible experience in the field of software engineering/program analysis or five (5)years of experience in the job offered.Special Skill Requirements: (1) Machine Learning for supervised and unsupervised learning, includingregression, clustering; outlier detection; novelty detection, nearest neighbors, support vector machines,ensemble methods and boosting, neural networks, and deep learning and its various applications (1year); (2) Python; (3) Databases and related languages and tools including SQL, NoSQL, and Hive; (4)Advanced machine learning approaches, including natural language processing, image recognition, andgraph mining; (5) Model Implementation; (6) Model Monitoring; (7) Statistical models; (8) Data Analysis.Any suitable combination of education, training and/or experience is acceptable. Telecommuting is anoption.Salary: $185,000.00 - $212,750.00 per annum.Submit resume with references to: Req.# 22-128312 at: ATTN: Rae Myles, [email protected]. #LI-DNI
Senior Data Scientist Trust Safety And Support Operations	Thumbtack	About the Operations Data Science Team Thumbtack’s Ops Data Science team is a tight-knit group charged with providing actionable insights for Thumbtack’s Trust and Safety, Support Operations, Sales, Partnerships, and Product Operations teams. We collaborate with various groups across the company on a wide variety of projects; everything from click-level data from our online HelpCenter, to call-level data from our outbound sales teams, to search- and conversation-level data between pros and customers from our product database. The Ops Data Science team is part of a global team of more than 40 data scientists across the United States and Canada. About the Role As a Senior Data Scientist, you’ll partner with product and operations leaders in shaping the strategy for the Trust and Safety and Support Operations teams. Data Scientists also collaborate with partners in Internal Tools, Data Engineering, and Product teams on broader efforts where product and operations overlap. You’ll be a leading voice and proactive contributor driving impact on key focus areas such as user credentialing requirements, guarantee offerings, operationalizing user segmentations, developing unit economics for support teams, and scaling strategic initiatives while controlling costs. To accomplish this, you’ll be expected to quickly build technical and content expertise about our platform, as well as the touch-points through which the operations teams interact with our pros and customers. You’ll be involved in scoping, prioritization and execution of tasks related to new company initiatives and programs while also gathering, organizing and presenting insights, trends and predictions to partners and stakeholders. Responsibilities Partner with leaders of Thumbtack’s Trust and Safety and Support Operations teams to conduct in-depth quantitative analyses that guide strategic decisions Make recommendations based on detailed analysis and a deep understanding of our business Build and maintain reports, models, metrics, and visualizations which provide insight into users’ experiences and business performance Work with Ops and Finance teams to measure impact of Trust and Safety and Support Operations initiatives Maintain SQL queries and dashboards that underpin analysis and reporting infrastructure Identify key drivers of core business outcomes through regression analyses and other statistical techniques Contribute to our team and company data culture through peer collaboration, training, coaching and more Must-Have Qualifications If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team. BA/BS degree, preferably in Economics, Statistics, Math, or Computer Science Passion for using data to drive business impact in an operational environment, including running A/B experiments within operational processes Experience analyzing user experience data (both product and survey data), preferably in a technology or marketplace company Strong written and verbal communication skills: this role will require writing content and explaining results to internal and external audiences Strong experience using SQL to query large datasets, proficiency with data visualization software (e.g., Tableau, Looker), and familiarity with statistics/programming languages (e.g., R, Python) Ability to detect and debug data anomalies in complex operational processes and a track record of working with business leaders to drive improvements and efficiencies Demonstrated ability to self-motivate and drive projects independently as well as partner successfully with cross-functional teams Nice-to-Have Qualifications Master’s degree in Applied Economics, Statistics, Data Science or related fields Familiarity with data science and processes of operational business lanes such as support or trust and safety orgs Demonstrated work experience organizing, manipulating, and producing analysis using contact center data from providers such as Genesys, UJET, NICE or Five9 and CRMs such as Salesforce, Hubspot, or ClickUp Working knowledge of Looker and LookML. You know how to use it effectively and have deep enough knowledge to grow the team by training others. Experience working with dbt Cloud, Jinja, and writing macros. For candidates living in San Francisco / Bay Area, New York City, or Seattle metros, the expected salary range for the role is currently $140,000 - $175,000. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. For candidates living in all other US locations, the expected salary range for this role is currently $120,000 - $150,000. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines.* Learn more about our virtual-first working model here. #LI-Remote
Senior Data Scientist Ads Experimentation Analytics	Reddit	Location: Remote-friendly Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic. We are looking for a senior data scientist to be a part of the Ads Data Science team. You will work closely with product managers, engineers, and data scientists to up-level the experimentation capabilities of the ads organization. You have a strong understanding of experimentation, are not afraid to challenge the status quo, and thrive in a cross-functional environment. Responsibilities: Elevate the experimentation practice for the Ads org by creating the right processes, templates and tools catered for ads use cases. Lead an experimentation council that can approve/guide experiment designs for various product launches. Explore new experiment designs/techniques such as budget split experiments, switchback testing, small sample enhancements, Bayesian approaches, causal inference methodologies, dosage response studies, staggered experiments etc and apply them successfully for complex experiments on the ads side of the business. Liaise with the centralized experimentation team in building platform features to accelerate ads experimentation. Guide various ads product teams in understanding network effects and novelty effects when running experiments. Track and own the experiment calendar for the ads org. Run biweekly experiment review discussions. Create frameworks for making metric trade-off decisions, especially when they span multiple organizations (e.g. ads vs consumer metric tradeoffs). Required Qualifications: Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science). 2 years of experience with experimentation, preferably for a consumer-facing service/app. 5+ years of experience in quantitative/modeling roles. Proficiency with statistical analysis and programming languages (Python, SQL). Understanding of experimentation and causal inference techniques. Experience with digital advertising is preferred, but not required. Benefits: Comprehensive Health benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation & Reddit Global Days Off 4+ months paid Parental Leave Paid Volunteer time off Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $183,500 - $275,300. #LI-Remote #LI-NH1
Senior Data Scientist	Edquity	Company Overview: Beam (formerly Edquity) is an anti-poverty technology company that helps institutions and governments administer various cash assistance and benefits programs quickly, equitably, and effectively. Beam simplifies program administration so that everyone — case managers, funders, and applicants — can thrive. Beam works with over 40 postsecondary institutions and multiple local governments and has administered over $200M in funding since 2020. Beam is a Series A stage, venture-backed company and has received support from many of the leading impact and postsecondary success investors, and has also received non-dilutive support from foundations like the Bill and Melinda Gates Foundation. Job Overview: Beam is seeking an experienced Senior Data Scientist who is passionate about enhancing financial stability and social mobility for Americans through innovative technologies and methods. The data team at Beam is small but mighty. We are seeking our first data scientist to lead our efforts to add value to the cash assistance space. The ideal candidate for this role has experience working on end-to-end machine learning products for prediction and ranking, with a focus on understanding and/or preventing inequitable model outcomes – we work with peoples’ livelihoods, and we do not take that lightly. They should be comfortable working with difficult problems and putting our users first. At Beam, we value stewardship and solutioning, so this candidate should have a strong sense of ownership and independence. Well-rounded data science knowledge (e.g. exposure to some of: data/analytics engineering, experiments, surveys, research methods, governance, etc.) is a major plus, as our team’s purview is primed to expand with the business. Our data and analytics infrastructure is built on cloud technologies. Prior experience with AWS and GCP technologies for production data science will come in handy. We are building our data viz out in Glean and we work with Heap for product analytics. Familiarity with similar tools is also preferred. What you will do: Serve as an advocate for data science best practices with our analytics team, internal, and within the social safety net communityDesign, develop, and deploy predictive and ranking models for research, partnerships, advocacy, and product use-cases Develop a deep understanding of the social safety net problem space and have compassionate opinions on how best to serve our partners and program applicants Perform rigorous analysis to understand and correct biases in production models Think critically about the needs of beneficiaries and partner organizations and leverage that understanding to build our data science capabilities responsibly Create well-written technical documentationAnalyze program data to develop recommendations for social safety net practitioners on how to use our platform Ability, Experience, and Skills Technical Skills - Strong SQL, Python and/or R skills are expected. Experience with cloud data environments, such as AWS or GCP will come in handy. A good candidate will also have experience doing their own feature engineering and working with machine learning frameworks such as PyTorch or TensorFlow. Scikit-learn is sufficient if the candidate is otherwise a holistic fit. Data Science and Statistics - A background in machine learning and statistics is expected for this role. A/B testing and statistical analyses are a plus. A good candidate will have significant expertise in machine learning and statistics, but is also willing to quickly learn about new methods or approaches. Stewardship - A strong desire to produce responsibly crafted work is a must. A good candidate considers input/output analysis a standard step in creating and maintaining a model. They are comfortable communicating best-practices to non-technical stakeholders, as well as supporting the development of customer-facing language to describe your work. They have developed or worked with data governance frameworks before. They have experience working on a well-documented production model at some point, even if for internal stakeholders. Subject Matter - Experience working in government technology, social impact, or at a progressive organization is preferred, but not required. A good candidate will be excited about our work, either through personal experience, professional experience, or a passion for helping others. Regardless of the connection, they are willing to develop a deep understanding of our problem space and leverage that knowledge in their work. We recognize that the right candidate may not match 100% of the job qualifications listed above. Importantly, we want you to grow with the company, so we are open to a candidate who can do the core work and is willing to grow some competencies. Therefore, we encourage you to apply if you can demonstrate many, but not all of these skills and competencies and are willing and excited to grow! Compensation and Benefits: The salary range for this position has been benchmarked in relation to the scope of the role, market rate, company stage, and internal equity. The base salary for this role will be between $140,000-$170,000 Where a candidate falls within the band is determined by skillset, experience level, and geographic location. Furthermore, this role will come with a total compensation package that includes equity shares and competitive benefits. Some of our benefits include Fully Paid Health Insurance (Medical/Vision/Dental)Unlimited PTO11 Paid Company HolidaysGenerous Parental Leave Benefits401k matchingProfessional Development StipendPotential for EquityMany others! Beam (formerly Edquity) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Data Scientist Commercial	Komodo Health	The Opportunity at Komodo Health The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals. Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases. Looking back on your first 12 months at Komodo Health, you will have… Delivered high-value data analytics projects that our existing data products could not cover Worked with Product to help prototype new analytics offerings Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning What you bring to Komodo Health: Keenly analytical mindset and the ability to solve complex problems with limited supervision Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals High motivation, work ethic, and self-discipline to organize and complete tasks Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling Compensation at Komodo Health We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $102,500 to $186,300 plus a competitive bonus and equity package. #LI-CT1 #LI-REMOTE
Senior Data Scientist I	Signifyd	The Data Science team builds production machine learning models and fraud mitigation tools that are the core of Signifyd’s product. We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals. The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management. We value collaboration and team ownership -- no one should feel they’re solving a hard problem alone. Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects. The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, from individual contributors up to the executive level. The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture. You’ll be on a horizontally-focused team that works on tooling for data scientists in order to help the organization fight fraud attacks and scale. You will be leading and planning data- and algorithmically-driven tools and helping test whether these strategies are effective. Here you’ll have the opportunity to: Concept, plan, and develop tools and strategies to stop fraud attacks Write production and offline code in Python and SQL to analyze and build tools that allow us to scale Think creatively to engineer new analyses, algorithms, and models that identify fraudulent behavior Devise algorithmic approaches to payments risk management that evolve the process from one that’s human-driven and heavy on gut feel to one that is quantitatively-rigorous and leverages an ecosystem of in-house tools Build production machine learning models that stop fraud rings Research real-time new fraud patterns with our Risk Intelligence team Past experience you’ll need: A degree in an analytical field, preferably with a computer science component 4+ years of post-undergrad work experience Experience leading and technically planning projects Writing well-tested production-grade code and reviewing others’ in a shared codebase, preferably in Python Experience with pandas, sklearn, numpy and other core Python data science libraries Building production machine learning models (they don’t need to have been related to fraud) Hands-on statistical analysis with a solid fundamental understanding Practical SQL knowledge Familiarity with the Linux command line Bonus points if you have: Previous work in fraud, payments, or e-commerce Passion for writing well-tested production-grade code A Master's Degree or PhD Check out how Data Science is powering the new era of Ecommerce Check out our Director of Data Science featured in Built In #LI-Remote Benefits in our US offices: 4-day workweek Discretionary Time Off Policy (Unlimited!) HeadSpace Health Online Therapy Membership Dedicated learning budget through Learnerbly 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag
Director Of Data Science Risk	Wex	Job DescriptionDirector of Data Science, RiskGlobal Risk Decision Science and Data Capabilities is a key team in Risk & Compliance organization that ensures WEX’s products and processes deliver robust fraud and credit decisions while providing a great customer experience and supporting WEX’s growth. We are a team of data and analytics driven experts with an outstanding ability and sense of mission to find solutions through innovation and collaboration. We are looking for an accomplished leader as Director of Data Science, Risk, who will lead a team of data scientists and will be responsible for developing and managing the fraud and credit machine learning models leading to best-in-class risk decision-making. The successful candidate will have deep knowledge and experience in data science, preferably in commercial and small business payments. The successful candidate will be collaborative and a strong communicator with high EQ to work in a matrixed organization. This position will report directly to the VP of Global Risk Decision Science and Data Capabilities.Roles and Responsibilities Lead a team of data scientists and analysts to build machine learning models Provide thought leadership in analytics for fraud and credit decisioning, and work together with Strategy and Operations teams to define, evaluate, and implement potential solutions Leverage technology and analytical techniques to optimize decisions while considering implications to customer experience Evaluate external opportunities (i.e. risk data providers, transaction monitoring solutions) to supplement internal capabilities with a firm understanding for tradeoffs in decisions for internal and external solutions Define data opportunity roadmaps to improve delivery gains against key performance indicators Collaborate with key stakeholders and cross-functional partners across WEX including Risk Operations, Technology, Bank, Marketing, Finance, Legal, Risk and Compliance/BSA/AML. Experience and Abilities Bachelor’s degree required, advanced degree strongly preferred 10+ years of experience leading an data or analytics team Evidence of working across analytics and engineering organizations to deliver on collaborative project goals Experience with analytics and data lifecycle management Understanding of analytics and engineering data ecosystems Ability to think critically in order to analyze problems and develop creative, practical and efficient solutions for a multinational company Strong communications skills that distill complex data and systems issues to both technical and non-technical audiences Strong people leadership and collaboration skills with enterprise-first mindset Leadership qualities that motivate collaboration with others, guiding the prioritization of initiatives Understanding of project management methodologies and the tradeoffs between them Payments industry experience a plus Key WordsData Science Management, Director Data Science, Director of Data Science, Director of Analytics, Manager Analytics, Manager Data ScienceThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Salary Pay Range: $156,000.00 - $208,000.00
Senior Data Scientist	Wex	Job DescriptionSenior Data Scientist, RiskWho We AreOur Team: We are the Global Risk Decision Science and Data Capabilities team. We are a fast-growing team and key to WEX’s strategic vision to incorporate more machine learning into our decision-making. Our team works on improving decisions, automated and otherwise. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making. We are an informal group that likes to work together. We believe that the best work is driven by purpose and a fun and engaging work environment.Our Company: WEX is a fast-growing multinational payments company based in beautiful Portland, Maine. WEX headquarters is situated in the heart of Portland amongst some of the best restaurants in the country and overlooking the ocean and lighthouses. When you are here, you know you are in Maine. We have generous paid time off and paid volunteering time, not to mention great benefits and a culture that values diversity and inclusion.Who You AreYou are driven to do great work. You love learning new things and solving complex problems with data tools and algorithms. You believe that communication and relationships are key to success alongside your data and machine learning prowess.We are looking for someone really rare and we know it. We understand that in some cases you may not exactly check off one of our boxes, but we are interested in knowing how you think that your experience or skills either cover the items below even if in a non-traditional way.General Experience and Abilities 5+ years of experience as a data scientist, machine learning engineer, applied scientist or analyst with evidence of either thesis work or project work using a computational, model-driven approach to data problems Thesis or dissertation work in a quantitative field (computer science, econometrics, applied mathematics, physics, etc.) or evidence of quantitative approach to qualitative research Knowledge of project management methodologies Experience being an effective member in a mixed team of technical and non-technical colleagues Evidence of communication with business stakeholders to drive impactful data solutions Understanding of empirical research methods Evidence of creative problem solving Tools and Techniques Strong command of analytics-based scripting tools and libraries such as Python (pandas, numpy, sklearn, tensorflow, etc.), R, Julia Expert knowledge of SQL Understanding of statistical tests and which to apply when Command of probability concepts: distributions, Bayesian inference, maximum likelihood estimation, etc. Familiarity with various machine learning algorithms Understanding of data splitting techniques and generalization Familiarity with MLOps techniques and pipelines Exposure to various forms of data and familiarity with how to wrangle it: structured RDBMS, csv; semi-structured JSON, XML, graphs; unstructured text, audio, etc. Key WordsPython, Pandas, Data Science, Machine Learning, Statistical Learning, Applied MathematicsThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Salary Pay Range: $104,000.00 - $139,000.00
Director Data Science And Business Intelligence	Smartsheet	Smartsheet is looking for an experienced Director of Data Science and Business Intelligence to help guide our growth. With thousands of subscribing organizations and millions of users you will have a great opportunity to make a meaningful impact across Smartsheet's business. You will report to our VP of Data Science and Business Intelligence located in our Bellevue, WA office. You also have the option to work remotely from any Smartsheet registered location within the U.S. You will: Lead teams of BI analysts and data scientists to enable data-driven discovery, data self-serve and data insights for Product/ Engineering and data science function. In particular, this role will drive product-led growth (PLG) analytics, drive experimentation and product embedded data science initiatives. This person will collaborate and scale best practices for data science work including ML ops. Understand Smartsheet's business model, identify strategic insights, inform leadership, and recommend execution plans against analytical insights Ensure continued development of business intelligence foundation, including including standardized tools, report standardization, automation and decision-support capabilities Work at the intersection of business and with the data platform team to ensure support for all Machine Learning initiatives across the lifecycle, from inception, conception to development and production Develop cross-team relationships with senior stakeholders to ensure we are meeting existing analytics needs and prepared to meet the needs of the future Lead strategic analytics initiatives and present insights to key stakeholders to drive actions and impact Influence investment decisions by supporting the ongoing strategic planning process Hire, develop and coach a team of talented data, BI and analytics professionals Understanding and experience in product analytics tools (e.g., Amplitude) Support other duties as needed You have: 10+ years of prior experience architecting Business Intelligence and Machine Learning analytics Solutions. Senior level candidates are encouraged to apply and adjustments to role/level will be made as appropriate 7+ years of people management/management consulting experience or similar relevant industry experience including leading an analytics shop Critical thinking with analytical & financial skills; strong sense for business success Excellent problem structuring, identification and resolution; Ability to synthesize complex issues into easy to understand concepts Experience structuring executive presentations with the appropriate level of storytelling, visuals and data analysis Hands-on experience in statistics, machine learning languages (e.g., Python and R) and BI tools (e.g., Tableau) Demonstrated ability to work in ambiguous situations and across organizational boundaries MBA or equivalent experience Perks & Benefits: HSA, 100% employer-paid premiums, or buy-up medical/vision and dental coverage options for full-time employees Equity - Restricted Stock Units (RSUs) with all offers Lucrative Employee Stock Purchase Program (15% discount) 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay) Monthly stipend to support your work and productivity Flexible Time Away Program, plus Incidental Sick Leave Up to 24 weeks of Parental Leave Personal paid Volunteer Day to support our community Opportunities for professional growth and development including access to LinkedIn Learning online courses Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account Teleworking options from any registered location in the U.S. (role specific) US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans US employees receive 12 paid holidays per year Smartsheet provides a reasonable range of compensation for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive bonus and RSU stock grant upon accepted offer. California & New York: $205,200 to $280,800 \| All other US States: $190,000 to $260,000 Equal Opportunity Employer: Smartsheet is an Equal Opportunity Employer committed to fostering an inclusive environment with the best employees. We provide employment opportunities without regard to any legally protected status in accordance with applicable laws in the US, UK, Australia, Costa Rica, and Germany. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. At Smartsheet, we strive to build an inclusive environment that encourages, supports, and celebrates the diverse voices of our team members who also represent the diverse needs of our customers. We’re looking for people who are driven, authentic, supportive, effective, and honest. You’re encouraged to apply even if your experience doesn’t precisely match our job description—if your career path has been nontraditional, that will set you apart. At Smartsheet, we welcome diverse perspectives and people who aren’t afraid to be innovative—join us! Our Candidate Privacy Notice describes how Smartsheet may process your personal data, including the use of a third party provider for application submissions. Apply Now
Decision Scientist	Square	Company Description It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. Check out our locations, benefits, and more at cash.app/careers! Job Description This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for: Customer Support - This team’s mission is to create better-than-human Customer Support Experiences. Cash App holds people’s money, and building customers’ trust is absolutely essential to our brand. Cash App’s mission is to serve the unbanked as well as disrupt traditional financial institutions. Providing fast and reliable help whenever the customer needs it is a major component of building trust and pursuing this mission. Our massive scale and deep trove of Support transcript data create an endless number of opportunities to leverage statistical models and machine learning in the analysis to better understand our customers and offer better experiences. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day. Ads & Incentives - This team is responsible for building data-driven solutions, strategies, in-depth analytics and dashboards in consumer experience in partnership with business stakeholders. This team drives monetization throughout the Cash App ecosystem and drives consumer engagement in delivering growth. As a Decision Scientist, you will apply data-driven techniques to identify new opportunities, participate in project definition and prioritization and directly impact business strategy setting outcomes. There is a high expectation of proactively identifying, investigating, and resolving problems; designing and establishing key metrics; and the effective usage of various techniques such as statistical modeling, A/B experimentation and machine learning to drive the best decisions. Qualifications Technologies we use (and teach): Python (NumPy, Pandas, sklearn, xgboost, etc.)MySQL, Snowflake, GCP/AWS, Tableau, Looker You have: Advanced degree in Mathematics, Statistics, Computer Science, Economics or other quantitative field3+ years of experience in a data-driven decision making role in a domain that leverages applied ML regularly such as recommendation, ads and NLPSolid experience with data analysis and scripting in Python and proficient in SQLFamiliarity with ML techniques, applications and best practices in solving real world problemsProficient at defining, utilizing and communicating performance metrics with Product, Design and Engineering, etc.Proven track record of tackling ambiguous business challenges with minimal guidance and applying analytical/statistical methods to tackle real-world problems using big data Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $152,100 - USD $185,900 Zone B: USD $144,500 - USD $176,700 Zone C: USD $136,900 - USD $167,300 Zone D: USD $129,300 - USD $158,100 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Benefits include the following: Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Senior Quantitative Risk Analyst Model Risk Management	Square	Company Description Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. Job Description The Model Risk Management Team is dedicated to ensuring regulatory compliance, supporting the reduction of potential errors or bias, and promoting appropriate utilization for models created and maintained by Block. The team achieves this by establishing and implementing robust model governance frameworks, validating and monitoring model performance, and providing guidance on best practices for model development and risk management. This is a foundational team within compliance, which means it will support and collaborate with all key functional areas of Block regardless of the product or market. We are looking for a Senior Quantitative Risk Analyst with model validation experience to join our team and support our model risk management activities. Your responsibilities will include validating machine learning models as applied to regulatory compliance such as anti-money laundering (AML), Know Your Customer (KYC), and sanctions screening. You will also provide analytical support and insights to improve our model development, and documentation standards. In this role, you should have strong quantitative skills, attention to detail and knowledge of relevant regulations and industry best practices. You should also have excellent communication skills and the ability to work independently or as part of a team. Responsibilities: Validate machine learning models using data analysis, testing procedures and quality assurance methodsEvaluate and improve model validation activities, processes, and metricsAssess and advise on model governance frameworks, and development practicesIdentify and communicate model risks, issues, and gaps to managementProvide analytical support and insights to improve model development, validation, and documentation standardsStay updated on emerging trends, developments and best practices in machine learning and compliance risk managementMaintain validation documentation in accordance with internal policies and standardsDevelop continuous monitoring dashboards for ongoing model performance monitoring (e.g. model drift)Coordinate with cross-functional teams, particularly Data Science, Product, Engineering & TechnologyDevelop effective stakeholder relationships and have a strong understanding of the businesses Qualifications Required: Bachelors degree in the physics, economics, statistics, or a similar STEM field with 5+ years of related work experience; Graduate degree w/ 3+ years of relevant working experience; or 9+ years of relevant working experienceKnowledge of data science modeling techniques, methodologies (e.g. familiarity with deep learning, boosted trees, and unsupervised learning)Experience with scripting and data analysis programming languages, such as Python (preferable) or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau)Strong quantitative skills with the ability to interpret complex data setsExcellent communication skills with the ability to present technical information clearly and concisely High ethical standards with a commitment to integrity and professionalism Preferred: Experience in validating machine learning models related to compliance regulations such as AML, KYC, sanctions screening, or fraud detection Prior experience in compliance risk management Knowledge of regulatory frameworks such as SR 11-7 Additional Information Why join us? At Block, we value diversity of perspectives because they fuel creativity. We offer competitive compensation packages, benefits, and perks. We also provide opportunities for career growth. and professional development. As a Senior Quantitative Risk Analyst at Block, you will be part of a team that is committed to providing reliable and accurate decision-making support while minimizing risk, and delivering long-term value to the organization and its stakeholders. You will have the opportunity to work on challenging and rewarding projects that involve cutting-edge technologies such as machine learning. You will also collaborate with cross-functional teams such as Data Science, Product, Engineering & Technology. If you are passionate about using your quantitative skills, to make an impact on economic empowerment, join us at Block! Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $138,200 - USD $169,000 Zone B: USD $128,500 - USD $157,100 Zone C: USD $121,700 - USD $148,700 Zone D: USD $110,600 - USD $135,200 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Benefits include the following: Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Science Intern	Johnson Johnson	Apply Now Save Open sharing options Description At Johnson & Johnson, we use technology and the power of teamwork to discover new ways to prevent and overcome the world’s the most significant healthcare challenges. Our Corporate, Consumer Health, Medical Devices, and Pharmaceutical teams leverage data, real-world insights, and creative minds to make life-changing healthcare products and medicines. We're disrupting outdated healthcare ecosystems and infusing them with transformative ideas to help people thrive throughout every stage of their lives. With a reach of more than a billion people every day, there’s no limit to the impact you can make here. Are you ready to reimagine healthcare? Here, your career breakthroughs will change the future of health, in all the best ways. And you’ll change, too. You’ll be inspired, and you’ll inspire people across the world to change how they care for themselves and those they love. Amplify your impact. Join us! Qualifications Johnson & Johnson is recruiting for a Data Science Intern at Digital & Data Science Group - JJSC located in listed locations or Remote. Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We adopt research and science -- bringing innovative ideas, products and services to advance the health and well-being of people. The Machine Learning (ML) organization at J&J Supply Chain D&DS are hiring 4-6 student interns enrolled in advanced degrees in STEM areas. We are recruiting the interns for Summer 2023 or one school semester/quarter and expect the interns to conduct a research study for a given topic, explore data analysis followed innovative modeling and write a conference paper, white paper or blog post based on J&J publication policy. The topics of projects are yet to define; however, the ML organization seek areas of interests based on the D&DS business scope, strategy, and current customer pipeline. The interns will be supervised and mentored by at least one Sr data scientist with relevant background. We consider applicants with the following background as preferred candidates: Natural language processing (NLP), understanding (NLU), and generation (NLG) Forecasting and Time-series analysis (preferably with supply chain experience) Computer vision (CV) (preferably with defect detection or inspection projects experience) Graph analysis, reinforcement learning (RL), classical ML, and Internet of Things (IoT) Education: Currently enrolled in degree program (MS or Ph.D.) in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in ML, NLP, Deep Learning, Computer vision, data science or related fields. Experience and Skills: Strong understanding of programming languages such as Python and ML libraries and frameworks such as NumPy, SciPy, PyTorch and TensorFlow. Practical ML experience Familiarity working with cloud computing environment such as Azure, AWS, GCP, or Databricks Preferred Qualifications Research experience related to ML, deep learning (DL), NLP, CV and general DS Published and/or presented papers at any recognized conferences or journals GPA 3.7/4 or higher PhD students in STEM At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Senior Data Scientist	Socure	Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies. Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products: https://www.youtube.com/watch?v=ifM9_jPQCv8 About the role: We are currently looking for Senior Data Scientists to join our Client Analysis team to be based anywhere remotely in the USA. In this unique role as Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle. This is an excellent opportunity for a Data Scientist who thrives when they're able to communicate a data story to an audience (tech and non-tech), and who is not satisfied only working behind the scenes. Data Scientists on the Client Analysis team are compensated for their part in driving new business with a generous incentive bonus opportunity on top of competitive base salary. Responsibilities: Analyze massive customer data sets, come up with actionable insights, explain how our models perform and how we can help our customers build optimal risk management policies. Act as Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization Build ML models when it is advantageous to explore different approaches over the established models in production Qualifications: You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred. You have 5+ years experience in data science, data analysis, or analytics engineering You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods You know how to write clean, performant code in Python and/or R, and have 2+ years experience working with massive real-life datasets You have experience querying relational databases with SQL You have experience working with cloud tools and technologies in AWS, Azure or GCP You know how to tell stories with data (dashboarding, building interactive data stories and actionable presentations) You are able to explain very complex algorithms, models, analyses to non-technical audiences You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages You thrive in a remote work environment and are excellent at setting clear goals and holding yourself accountable You have experience and/or interest in identity verification and fraud prevention (preferred) Technologies we use The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones. RStudio teams (Workbench, Connect and Package manager) R language and ecosystem (The tidyverse family of R packages, Rmarkdown Shiny) Python ecosystem (H2O, SHAP, Seaborn, Jupyter, etc) Apache Arrow Airflow Redshift, Snowflake, S3 Apache Spark Amazon EMR Git and Gitlab Salary Disclosure: Base Salary range: $155,000 - $165,000 This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus. This position is eligible for a generous sales incentive bonus. Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.To learn more, check out Socure’s Career Page: https://www.socure.com/company/careersSocure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.To learn more about how our work is changing the world, check out these articles and videos: Socure is Forbes' 2022 Best Startup Employer: bit.ly/3fbNw8S Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7 Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU Socure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4 Archives & Press Releases: https://learn.socure.com/about/press-release
Data Scientist Iii	Myriad Genetics	THIS IS A REMOTE WORK FROM HOME BASED POSITION (USA ONLY) Myriad Genetics is a healthcare technology company that leverages genetic information to empower doctors and patients to make informed medical decisions. Our software engineers and data scientists work on a variety of projects to enable providers to work more efficiently to achieve better outcomes for their patients. Our Health intelligence Platform team is developing infrastructure to share data with health care providers in new ways which will streamline healthcare delivery and enhance the operability of genomic data. This is a hands-on role which will require extensive code development in python, SQL, and other technologies TBD. This is not an entry-level role. What you will do: Help us create the infrastructure to deliver better insights which can improve patient care and drive better treatment options Support the development of our Health Intelligence Platform by developing new tools and improving existing ones Work within our AWS and DNANexus data platform to ensure uptime, reliability, efficiency, and ease of use through automation, industry-standard best practices, and new and bleeding edge solutions, keeping security top of mind Take ownership of developing our architecture and strive every day to make it more reliable, scalable and extensible Work with our Bioinformatic tools, Computational pipelines and Data curation teams to extend and share this infrastructure and drive efficiencies across the R&D Platform group Understand and contribute to our complex data ecosystem, promote solutions to other teams, and communicate changes to stakeholders What we believe in: Prioritize Impact   Hone Your Craft   Own It and Make it Happen   Scale Each Other   Commit to Diversity   Keep it Simple   We look for data scientists who: Possess a strong background in genomics, cancer biology, pharmacology, or another related biological science. Advanced degree strongly preferred. Are strong individual contributors and self-starters that want to work towards larger goals with 3+ years of software engineering in industry or academia under your belt as demonstrated by prior experience, GitHub account or personal web page   Have strong communication skills with 1 – 2 year’s experience leading new development or maintaining ongoing development projects as part of a collaborative team Have expertise in quickly learning and understanding how best to use legacy infrastructure and legacy codebases as well as how to work effectively with other developers to come up to speed quickly on their usage Have an extensive understanding of Cloud and internal server network applications and design principles Have a proven track record of improving systems in secure, reliable, and reproducible ways Have mastery of at least one coding language (e.g. Python, Java) Are lifelong learners, always pushing themselves, their teammates, and their systems to be the best they can be. Nice to haves: Proven experience deploying and managing Docker containers, Lambdas and Pipelines Proven experience working in collaborative environments using Agile and Scrum based methodologies Experience with developing in a regulated environment Strong SQL and Snowflake experience Experience architecting distributed systems with infrastructure automation, monitoring, logging, and alerting Experience with Linux systems (e.g. Ubuntu, Amazon Linux) and Bash Experience with developing tools to analyze biological data in a regulated environment  Experience with CI/CD pipelines (e.g. Jenkins, GitHub, GoCD) Experience working with DNA Nexus or Looker Prior experience with building or developing data warehouses Hands-on experience working with biological datasets, bioinformatics tools and data standards, pipelines, and their supporting infrastructure #LI-REMOTE #LI-AP1
Solutions Consultant Data Science	Snowflake	Build the future of data. Join the Snowflake team. We are looking for people who have a strong background in data science and cloud architecture to join our Workload Services team focusing on the Data Science workload to create exciting new offerings and capabilities for our customers! This team within the Professional Services group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be highly technical and hands-on, where you will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators. AS A SOLUTIONS CONSULTANT - DATA SCIENCE AT SNOWFLAKE, YOU WILL: Be a technical expert on all aspects of Snowflake in relation to the Data Science workload. Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements. Work hands-on where needed using SQL, Python, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology. Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own Maintain deep understanding of competitive and complementary technologies and vendors within the ML space, and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments. Communicate to Customer audiences with presentations or working demos. Provide guidance on how to resolve customer-specific technical challenges. Support other members of the Professional Services team develop their expertise. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing. OUR IDEAL SOLUTION CONSULTANT - DATA SCIENCE WILL HAVE: 4-6 years experience working with customers in a pre-sales or post-sales technical role. Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management. Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models. Experience and understanding of at least one public cloud platform (AWS, Azure or GCP) Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks, Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala. Experience with libraries such as Pandas, XGBoost, TensorFlow, SciKit-Learn or similar. Experience working with Jupyter notebooks. University degree in computer science, engineering, mathematics or related fields, or equivalent experience BONUS POINTS FOR HAVING: Experience with Databricks/Apache Spark Experience implementing data pipelines using ETL tools Experience working in a Data Science role Proven success at enterprise software Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc. The following represents the expected range of compensation for this role: The estimated base salary range for this role is $110,000 - $162,100.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?

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