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Platform Data Scientist Machine Learning | Black Crow Ai |
The company + vision.
Everyone’s got the message: machine learning is changing everything. And for Fortune 500 brands in every vertical, it’s actually true — ML predictions are solving billion-dollar, migraine problems. But for smaller brands, the talent and investment needed to build an ML platform are simply out of reach.
Black Crow is changing that--fast. Founded by a team that has spent the last decade in machine learning, our mission is to help DTC brands turbocharge their growth by delivering bespoke, Fortune 500-grade ML predictions. It works out of the box, delivered as a service, and costs less than one data scientist. Integration: one click.
12 months ago, we had one DTC brand using our predictions. Now we have over 150 — including Solo Stove, SAKARA, Native, Keurig, and Bearaby. There are 50,000 more who haven’t heard of us yet.
Black Crow AI recently concluded a $25 million Series A led by top investors in the DTC and B2B SaaS sectors, and is well funded for multiple years
The team + culture.
This is the 3rd company Black Crow’s founders have started together. Both previous companies scaled to >$100MM and were voted ‘Best Places to Work’ in NYC many times.
The founders are building Black Crow to be commercially successful, high growth, and valuable. But that’s insufficient as an end--we’re also building a company that we actually want to work at! That means we are human first--we don’t expect anyone to transform themselves to show up at work. It means working together is a positive force in our lives, not something we tolerate for the paycheck. And it means we see diversity as a strength.
Where you come in:
Black Crow AI is seeking a Platform Data Scientist to join our top notch data team. You’ll be a technical thought leader & hands-on builder who helps scale innovation across all of the data science and machine learning applications at the company. We’re looking for someone with an entrepreneurial spirit, who can leverage their deep knowledge of machine learning to build advanced models that underpin use cases across our product suite and guide on the platform tooling and architecture required to support them.
What you'll do:
Partner with other data scientists and machine learning engineers to identify opportunities to improve existing products and bring new products to market by building novel machine learning capabilities
Research, develop and implement cutting-edge algorithms and predictive models, from proof-of-concept implementations to scaled applications that solve critical business problems
Leverage your expertise on the present & future capabilities of machine learning to shape the strategic direction of the company
Partner with platform engineering to onboard & develop new tools to scale our data platform
Communicate brilliantly and develop strong relationships at all levels, internally and externally
About you:
8+ years of relevant experience as a Data Scientist or Machine Learning Engineer, building and deploying predictive models
2+ years of experience building, deploying and optimizing deep learning models, bonus points for experience with RNNs and recommender systems
Experience working with large scale data, batch and streaming
Deep understanding of ML development lifecycle and MLOps
Strong knowledge of at least one programming language (Python, Java, Scala) and frameworks appropriate for large scale analysis of structured and unstructured data.
Experience with Apache Spark and cloud services like AWS is a plus.
Strong passion for empirical research, good problem solving skills and organizational skills
Enjoy staying on top of cutting edge machine learning research and best practices, and bringing that knowledge to bear in innovative, real-world applications
Strategic risk-taker with detail-oriented and execution-focused approach. You know what great looks like and when to aim for “good enough.”
Excellent written and spoken communication; can simplify complex topics into clear and impactful summaries and presentations
Self-motivated, flexible, and collaborative - ability to work in fast paced, changing environment with Product, Engineering, and other partners.
Insatiable curiosity and love of learning.
Strong opinions weakly held. You are knowledgeable in your domain and able to move quickly based on that knowledge, but humble enough to change your mind
$170,000 - $215,000 a year
More about us.
+ Virtual-first and welcome employees from anywhere
+ Unlimited paid time off
+ Fridays are yours - complete flexibility on if or how much you focus on Black Crow each Friday
Love your job.
We love our work and our team. Our machine learning helps ‘flick the lights on’ for companies so they see their customers more clearly and can uncover the true potential of their tools and teams. In turn, we strive to do the same for our people. We’re here to shine light on each other and unlock known (and sometimes unexpected) potential.
Our vibrant team accomplishes buckets of awesome every day. We also partake in our fair share of daily laughter. Come build the company you’ve always wanted to work for - with inspiring products and a community of passionate people.
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Data Scientist | Focuskpi |
FocusKPI is seeking a Data Scientist to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S..
Work Location: Remote in the U.S. Duration: 6 months contract with potential for extension and conversion, depending on budget and performancePay range: $50/hour to $70/hour
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQLIntegrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholdersManage and streamline data extraction process with great attention to detailsAssess the potential usefulness, validity, and rigor of new data sourcesWork with cross-functional team to ensure that the quality of the data are of the highest standardHelp with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field3+ years of industry experience in data, analytics, and data science roleExperience with advertising, measurement, and/or digital marketing analyticsExperience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.Proficient coding skills (SQL/Python/R)Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc.)Experience working with Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) is a mustExperience with Modeling and Machine learningExperience with cloud technologies such as GCP, AWS, AzureExperience in integrating, structuring, and analyzing large amounts of data from diverse sourcesStrong project management skills and attend-to-detail documentation skills.Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the businessPassion for working in a fast-paced agile environment.A collaborative mindset and sense of curiosityExperience with predictive modeling algorithms and optimization techniquesExperience applying statistics to business problems
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
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Lead Data Scientist | Lumen |
About LumenLumen is guided by our belief that humanity is at its best when technology advances the way we live and work. With 450,000 route fiber miles serving customers in more than 60 countries, we deliver the fastest, most secure global platform for applications and data to help businesses, government and communities deliver amazing experiences. Learn more about Lumen’s network, edge cloud, security and communication and collaboration solutions and our purpose to further human progress through technology at news.lumen.com, LinkedIn: /lumentechnologies, Twitter: @lumentechco, Facebook: /lumentechnologies, Instagram: @lumentechnologies and YouTube: /lumentechnologies.
The Role
The Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.
The Main Responsibilities
Clearly communicate methods and conclusions with simple language and innovative visualizations to management and executives. Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business.Provide expertise in analyzing and visualizing large, complex, and unique data sets. Create new insights that will drive business growth and profitability in the short and long term. Deploy analytics code with a continuous integration environment incorporating version control, build servers, and test servers.Design and implement programs and automation to collect, mash up, process and analyze distributed real-world data.Collaborate with cross-functional teams to understand complex business problems, build statistical models, and create predictive tools.Management of analytical projects and assistance in program planning as well as the acquisition, retention and development of data science talent
What We Look For in a Candidate
8+ years related experience.Degree(s) in Computer Science, Math, Physics, Economics, Operations Research, Statistics or related disciplineExperience with relational and non-relational databases.Strong experience with tools for managing, analyzing, and visualizing large datasets. Programming experience with two or more of R, Python, Lisp, Clojure, Scala, Java, Perl, Mathematica and C++. Past success in extracurricular math/science activities or competitions is highly regarded. Creativity and persistence in locating, extracting and analyzing all relevant data. Problem solving versatility: making the best decisions possible given the data quality and time available. Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages.
Preferred:
Expertise w/ GIT, agile project management tools (Trello, JIRA, Rally, etc), documentation/markup expertise (Markdown, etc)Strong verbal, written and visualization communication skills relaying data science findings, problems, etc to business users.Good working knowledge of PL/T-SQLExpertise w/ econometric and machine learning methods for predictive analyticsPrior expertise w/ price elasticity of demand modeling and mathematical optimization methodsCulture of curiosity and perseverance in the face of messy data and complex business, information systems landscapeSignificant experience with the SDLC, in particular as applied to automation of data science pipelines and development of analytic productsPrior experience coaching junior technical team membersStrong background with planning and management of data science projects as well as leading engagement of stakeholders and communication with non-technical SMEs and partners.Experience with the wireline telecommunications industry, notably common product technologies and marketing thereof
What to Expect Next
Requisition #: 301828
EEO StatementWe are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
DisclaimerThe above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions.
Salary Range
Salary Min :
85230
Salary Max :
189360
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information here. We're able to answer any additional questions you may have as you move through the selection process.
As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking here.
Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.
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Machine Learning Scientist | Lumen |
FocusKPI is looking for a Machine Learning Scientist to work for our client. The main function of the Machine Learning Scientist is to build and deploy innovative machine learning solutions to improve revenue and increase our client's active user base.
Work Location: Remote in the U.S., preferably in the Bay AreaDuration: 6 months contract Pay range: $43/hour to $53/hourResponsibilities:
Craft advanced machine learning and natural language processing techniques to accelerate paid user acquisition.Work with our client's seriously large volume of data to understand insightful trends and customers behaviors.Construct and refine algorithms to optimize parts of our client's marketing andon-boarding funnelsApply and refine optimization and NLP techniques to expand market reach in an efficient and scalable way, construct andrefine AI algorithms to optimize bidding strategies and budget allocation. Drive end-to-end Machine Learning projects that have a high degree visibility and applying cutting-edge tech components.
Qualifications:
Master of Science degree in quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience).2+ years of professional experience with developing large-scale machine learning applications.Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks).Explain data science and machine learning concepts to diverse audiences and create a compelling story.Industry or academic experience in the data science or machine learning domain.Explain data science and machine learning concepts to diverse audiences and create a compelling story.Use domain knowledge and data insights to educate and engage with stakeholders, help the teamto better understand the solutions rationale and execute on that.
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
|
Data Scientist | Fuse Technologies |
This is a remote position.
About Fuse Technologies
Fuse Technologies is a fintech solution for the experience economy empowering creators to sell their tickets, hotel, and multi-day curated experience in a single transaction. The company has raised $16M in seed capital to date reaching a $120M valuation in less than 1 year of launching its first client.
Fuse's clients include Live Nation, AEG, Golden Voice, Soccer Champions Tour, Life is Beautiful, TAO Group, Disco Donnie, Wonderfront, Lineleap, Hifi Social, Reggae Riseup, Cali Roots, Insomniac, Relentless Beats, C3 Presents, Vegas Golden Knights, A22 Sports, PAC-12, Big West, Main Event, American Rodeo, Blended, Montreal Tourisme, and over 250 university RSOs.
Requirements
About the Role
Performance Profile
Analyze, manipulate, or process large sets of data
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, churn, and inventory etc
Clean and manipulate raw data using statistical software.
Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
Work with stakeholders to come up with data driven insights that help grow the business
Help build & measure OKRs for company & business units etc.
Having basic understanding of Data modeling, data engineering, databases
5+ years of experience min
Tools: Mode, metabase, DBT, Snowflake
Languages: SQL, Python or R
Remote/Anywhere in United States candidates accepted
Benefits
Simple IRA with company match (up to 3%)
Health, Dental & Vision insurance
Life Insurance
Paid Time Off
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Data Scientist Credit Risk Modeling Xgboost Nlp | Wex |
The position is applicable ONLY for US remote This role would not offer sponsorshipGlobal Risk Decision Analytics and Capabilities is a key team in Risk & Compliance organization that ensures robust fraud and credit decisions across all segments 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 a Data Scientist in the Credit Risk team, who will be responsible for developing and managing the credit and collections decision science models and business logic, leading to best-in-class credit loss metrics, profitability-based decisions and customer experience for WEX. The successful candidate should have prior data science and / or advanced analytics experience in credit risk management including the underlying modeling method lies and tools. The successful candidate will be collaborative and a strong communicator with high EQ to work in a matrixed organization. This position will report to the Director of Credit Risk. Major Roles and Responsibilities
Building and leveraging new and existing data sources to build Credit risk models across the lifecycle i.e. adjudication of New Accounts, Portfolio and Collections and across products and lines of business
Deploying statistical and machine learning techniques to optimize decisions, leveraging standard tools Distilling complex results or processes into simple, clear visualizations
Explaining sophisticated data science concepts in an understandable manner
Building solutions and working with modern development tools and writing code collaboratively (bonus for software development or DevOps experience)
Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
Monitoring credit risk through the customer lifecycle, to provide timely detection and mitigation
Performing qualitative and quantitative analysis on credit risk trends and working together with Strategy and Operations teams to define, evaluate, and implement potential solutions.
Developing solutions to reduce credit risk and financial losses, while minimizing impact to good customers
Defining Credit Risk Analytics capability roadmaps to deliver gains in key performance indicators (KPIs)
Collaborate with key stakeholders and cross-functional partners across WEX including Risk Operations, Technology, Bank, Marketing, Finance, Legal, Risk and Compliance/BSA/AML.
Job RequirementsEducation and Experience:
Bachelor’s degree required; advanced degree strongly preferred
5+ years of experience in Data Science; 3+ years of experience in the Credit & Collections risk analytics/ data science and/or Commercial Risk space; Payments industry experience a plus
Experience using statistics and machine learning to solve complex business problems- Big Data, Python / SQL, ML studio, Data visualization tools
Skills and Abilities:
Ability to think critically in order to analyze problems and develop creative, practical and efficient solutions for a multinational company
The ability to learn quickly, solve complex problems, and perform in a fast-paced environment
Strong communications skills that distill complex data and systems issues to both technical and non-technical audiences
Understanding of and experience with risk decision engines and/or payment technology
Willingness to learn and continuously build technical skill set
Ability to prioritize and work on multiple projects and tasks at the same time
Adaptable and comfortable working collaboratively and independently in a self-starting manner
The 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
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Sr Data Scientist | Wex |
Sr. Data Scientist WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and strategic initiatives.This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization. There is strong executive support for all things data and it is viewed as a critical component for our enterprise transformation activities. What we need now is someone with a passion for solving problems and driving actionable outcomes with data. You will do this through performing and developing the following competencies: Insights Driven, Stakeholder Aligned, Results Focused, Dynamic Collaboration, Quality Mindset.What you’ll do:
Lead the effort to design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions
Collaborate with product and service teams to identify questions and issues for data analysis and experiments
Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Identify key insights from large data sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the best-fitting tool and level of complexity appropriate for the business challenge(s)
Engage with counterparts across the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, prioritizing those where advanced analytics projects or tools can have the biggest impact
Identify and communicate the challenges and opportunities that the group should be working on, highlighting areas for improvement
Help define the analytical direction and influence the direction of the associated engineering and infrastructure work
Brainstorm and articulate business questions and investigate answers using data and mathematical techniques
Translate analysis results into business recommendations
You will also deliver artifacts that set the standard in your organization for excellence, from designs to algorithms to implementations to technical documents
How you’ll engage:
Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
Dynamic Collaboration: Drive continual improvement of our teams best practices and processes to power collaboration
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Experience you’ll bring:
Bachelor’s degree in STEM or a related field
4+ years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
Advanced experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
Advanced experience building, cleaning, and testing data quality for data sets preceding modeling
Strong problem-framing, problem-solving, project management skills, customer service, and communication skills
Deep understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)
Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives
What would make you stand out:
Masters or PhD in a related field
Combination of technical and business acumen
Experience with Dataiku
Experience in Agile methodologies
The 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: $123,000.00 - $164,000.00
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Data Scientist Vyasa | Certara | |
Senior Data Scientist Stars | Humana |
Description
The Stars program is the Centers for Medicare & Medicaid Services (CMS) five‐star quality rating system for measuring Medicare beneficiaries’ experience with their health plans and the health care system. The program is a key component in financing health care benefits for MA and MA‐PD plan enrollees. In addition, the ratings are posted on the CMS consumer website to help beneficiaries choose among the plans offered in their area. Quality metrics include screenings and vaccines, managing chronic conditions, member experience with the health plan, member complaints, and customer service. For the past five years, Humana has led national competitors with the most members in 4+ Star plans, so we take
Read more about this job
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Sr Data Scientist | Humana |
Description
The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
Responsibilities
The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises
Read more about this job
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Data Scientist Mid | Metrostar |
As a Data Scientist (Mid), you’ll bring creative architect solutions to end customers, with the goal to make an impact across the federal government.
We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
What you’ll do:
Analyze complex datasets to assess performance or find new patterns and apply machine learning techniques to data sets related to immigration.
Build, train, operationalize and maintain AI/ML models in production.
Present results to a diverse audience in presentation or report form
Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.
What you’ll need to succeed:
A bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience and the ability to obtain and maintain a DHS Suitability.
5+ years of experience in the AI/ML data science field. If school experience is used, at most that would contribute to 2 years of actual experience.
Experience using open-source models to the extent possible or provide a comparable analysis and justification for using proprietary models.
Ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize
Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML.
Ability to maintain the AI/ML models through user stories and DevSecOps CI/CD pipeline including any optimization and evaluation of alternates.
Like we said, we are obsessed with our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
Don’t meet every single requirement?
Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification. At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply. We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team
What we want you to know:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
MetroStar Systems is committed to creating a diverse environment and is proud to be 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. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.
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|
Data Scientist | Mars |
What are we looking for?
Bachelor’s degree or equivalent in Marketing, Data Science, Mathematics, Statistics, or other numerate disciplineNice to have – Masters / Degree with computing, scientific, statistical or mathematical component3+ years varied technical experience in delivering statistical analytics, data science and insight on large-scale consumer data sets across multiple sectors, including packaged goods and retailHands-on experience with Python (numpy, pandas, etc) is required; Familiarity with PySpark is also desirableMust have excellent communication skills, and interact effectively with internal stakeholdersGood problem solving skillsSuperior planning, project management and organizational orchestration skills and a strong attention to detailConfident in identifying and escalating key points/issuesTruly inspired by, and want to live, our purpose of creating a better world for pets.Writes code following PEP-8 guidelinesUnderstands the implications of code on execution timeCan identify dependencies when productionizing modelsAlso desirable:Passion for growing and strengthening a business using data driven approachesFamiliarity with cloud-based computing services e.g. Azure, Databricks, etc.Enjoys explaining how models and systems work to both non-technical and technical stakeholders.Experience in packaged goods, retail and/or medical sector preferablePersonal traits:Comfortable with ambiguity, with a passion for collaboration to achieve objectivesGood head for numbersQuick learner, ability to understand and simplify highly complex scenarios.Value focused with high energy and drive.
What will be your key responsibilities?
We are searching for an experienced Analytics professional to join the data science function; to help deliver the ecosystem analytics roadmap across all divisions; working closely with the division stakeholders in managing and delivering projects; working with global teams to identify and implement efficient delivery of the vision; and, to articulate the strategic opportunities of a pet-centric analytics driven strategy.The role reports in to the Head of Data Science -North America. The primary responsibilities are:Apply data science approaches to understand and predict pet and pet owner behaviorsUse machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourselfCollaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations Develop compelling stories that provide insight into the drivers of business performance and Pet/Pet Owner behaviorA desire to develop data science models from idea initiation through to production.Ensuring outstanding delivery of pet and pet-owner centric insight, analytics and data science across Petcare divisionsWork closely with team members and stakeholders to achieve thisApply a pet and pet-owner centric approach to problem solving across divisions ensuring highest standards of insight and data science delivery to create changeParticipating in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-ownersApplication and documentation of best practice standards in the execution of analytics projects for value creationEnthusiastically learn new technologies and techniquesContribute to the upskilling of Petcare by inspiring local teams with insight and story-telling to gain deeper engagement with the Powered By Data strategyAdherence to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to leverage effectively data for their advantage, to abide by all laws and relevant best practices
What can you expect from Mars?
Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles.Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.Best-in-class learning and development support from day one, including access to our in-house Mars University.An industry competitive salary and benefits package, including company bonus.
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Sr Data Scientist | Openspace |
The Team
OpenSpace’s core product is loved by its users, and we see this in all of our key metrics like engagement, retention, and revenue. The success of our core product has given us a good problem to have: our customers and the industry as a whole are trying to pull us in many different directions at once.
Our data team’s mission is to be the source of truth. We help teams across the company measure and prioritize their opportunities, which means working closely with the product team and our leadership as well as engineering, operations, finance, marketing and sales. Our team today is still small compared to the number of new products and markets that lie ahead, so new opportunities for personal development are abundant.
Brief summary of role:
For us Data Science means empowering good decision making across the organization. This role is mainly centered around product analytics and analytics engineering. The pillars of our work are ensuring good data collection as part of ongoing product development, delivering easy to understand metrics and KPIs to our product and operations teams, surfacing insights about our products or processes through experiments or analysis that lead to shifts in strategy.
What you will be doing:
Develop a comprehensive understanding of the product from both the customer's perspective and the internal workings of our systems and algorithms, ensuring informed hypotheses about the effects of product changes.
Proactively explore what makes valuable customer experiences and good business outcomes, and follow up by proactively sharing insights with your team.
Leverage your knowledge of product usage metrics to estimate the impact of potential projects, and design new experiments to validate or invalidate assumptions to maximize the ROI
Develop and maintain the metrics and dashboards that help us monitor product usage and understand how it relates to overall business health and honing in on tricky edge cases and ways to test so that they are represented correctly in our reporting.
Partner with engineering to create and store various types of data to ensure the data team remains the organization's source of truth and provides crucial insights to support decision-making across departments.
Evaluate complex situations and data sets to identify key factors and trends, and demonstrate sound judgment when recommending strategies for improving performance and driving growth.
Effectively communicate complex concepts to diverse stakeholder audiences to determine the appropriate methods for new assignments.
Apply technical and functional expertise to develop and implement innovative data-driven solutions for complex business problems.
What we are looking for:
5-8 years of analytics experience or equivalent projects in a data science capacity.
Experience defining and working with engineers to instrument metrics for new product features.
Experience writing advanced SQL to build new data tables and pipelines - we use dbt.
How you like to work:
Ability to quickly learn and understand the details of complex technical products and their use cases in relation to the construction industry
Detail-oriented, with a focus on ensuring data accuracy and quality in reporting and analysis.
Strong communication skills, with the ability to present complex technical and statistical concepts and information in a clear and concise manner verbally, visually and in writing.
Ability to communicate complex concepts and priorities effectively to diverse stakeholders
There are many benefits to working at OpenSpace, including, in addition to competitive pay, things like generous time-off, ample parental leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, education, demonstrated capabilities, and geographic location within the state. The following salary range applies to this role.
If you are a Colorado applicant:
The estimated pay range for this role, based in Colorado, is $122,000 - $160,000.
Additionally, this role is eligible to participate in OpenSpace’s equity plan.
This role is also eligible to participate in OpenSpace’s equity plan and for the following benefits: health and wellness programs, paid time off, 401(k) retirement account, flexible time off, and paid parental leave.
If this role isn't what you're looking for, please consider other open positions.
#LI-Remote
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Senior Data Scientist Ads Ranking | Faire |
About this role
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ads & monetization, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.
As a member of the Data Science team you’ll develop machine learning-powered ads ranking models while contributing and adding impact and personalization to our search and discovery system functions. You’ll determine answers to questions like, how relevant is this ad/product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve the ads purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, Netflix and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
What you’ll do
You’ll build best-in-class models to solve various problems at the intersection of Ads Modeling domain and Search and Recommendation.
You’ll be able to develop vision and execution plan for the Ads team and actively participate in the long-term roadmap as we monetize the platform.
Collaborate with Data Scientist and ML Engineers across the Data organization to implement tools for ads experimentation.
Develop key metrics for ads performance evaluation; design dashboards to track them.
Qualifications
3+ years of industry experience in ads/ads modeling domain (ads ranking, auction design, bidding, targeting, etc.) and using machine learning to solve real-world problems
Experience with search/query processing for ads product development
Strong programming skills
An excitement and willingness to learn new tools and techniques
Lead model development without supervision
Strong communication skills and the ability to excel in a closely collaborative team environment
Great to Haves
Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement innovative algorithms from an academic paper
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Salary Range
California / New York: the pay range for this role is $173,000 - $238,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $156,000 - $214,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
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Data Scientist Brand | Faire |
About this role
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
As a Data Scientist on the Brand team, you will design and develop algorithms to enhance the CRM system's intelligent recommendation capabilities. Additionally, you will conduct causal inference measurements to improve the referral program's incentive structure. By building effective ML models, you will also prioritize relationship management motions to drive brand success on Faire.
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
What you’ll do
Drive brand success by expanding their sales and consolidating their business onto Faire's platform.
Design and implement algorithms that enhance the intelligent recommendation capabilities of our CRM system. You will also create models that prioritize sales motion and conduct causal inference measurements to optimize the referral program's incentive structure.
Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success.
Qualifications
2+ years of industry experience using machine learning to solve real-world problems, and a history of accomplishment and advancement in your Data Science career
Resourcefulness and proactiveness: track record for executing independent projects and leading complex, cross-functional projects with dependencies
Strong communication skills: can effectively and patiently work with others in a closely collaborative team environment. Can evangelize growth marketing initiatives to the organization
Exceptional product and business sense
An excitement and willingness to learn new tools and techniques
Proficiency with Python and SQL
Salary Range
California / New York: the pay range for this role is $148,000 - $203,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $133,200 - $193,050 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
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Data Scientist Intern | Faire |
Job Description
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
We have several Intern positions on the following 3 Data Science teams:
1. Financial Products and Marketplace Optimization2. Discovery (Recommendations, Ranking, Search, Ads)3. Brand and Retailer Growth & Incentives
We're looking for someone with experience working on projects related to the fields above and who are eager to wake up ready to take a problem end-to-end, dive into our information-rich databases, and produce actionable insights.
Our internships are paid and 12-to-14 weeks in duration. We have flexible start dates and are open to extending internship durations based on need and mutual fit.
What you will be doing:
Define, plan and execute cutting-edge machine learning or other new algorithms that will be a/b tested with guidance from a manager or technical lead
Communicate project objectives and results clearly, both within the group as well as to the broader team
Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success
What it takes:
We are open to currently enrolled Master’s & PhD students and recent Master’s & PhD graduates, who have an academic focus in Computer Science, Operations Research, Statistics, Econometrics or a related technical field
Hands on experience with real datasets and familiarity using python, sklearn, numpy, pandas, and SQL
Familiarity with various machine learning techniques and statistical methodologies (Bayesian methods, experimental design, causal inference)
A track record of developing end-to-end Data Science projects and/or producing academic papers that have been showcased in top journals or conferences
Salary Range
California / New York: the pay range for this role is $51.90 - $71.40 per hour.
Colorado / Washington / New Jersey: the pay range for this role is $46.65 - $64.20 per hour.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
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Lead Data Scientist Credit | Dave |
Dave is one of the leading US neobanks and a pioneer in financial services, using disruptive technology to provide best in class banking services to millions of members at a fraction of the cost compared to incumbents. The anchor of our banking value proposition, ExtraCash, provides up to $500 of short term, interest free advances to members within minutes of joining. The speed to value, access and pricing of ExtraCash compared to traditional overdraft sets us apart from incumbents and is a key to our strategy to efficiently acquire transacting Dave debit card members.
We are looking for a Lead Data Scientist to build and lead credit risk management for our newest consumer credit product at Dave under the Data Science org. Unlike other providers of short term credit, Dave relies on our member's cash flow and income data so it is important that this leader has prior experience and is excited to work with alternative data sources to drive differentiation in our products, growth for our business, and value for our members with a risk appetite.
Furthermore our ideal candidate has a track record of launching new products as well as operating and scaling existing credit strategies during all points of a credit cycle. As a Lead Data Scientist, it is critical to partner with product, marketing, legal, finance, engineering and other cross functional teams to manage the business. Over time this role may grow into people management so having a desire to lead and mentor a team is important.
What You'll Do
Play a foundational role in launching Dave's next credit product with seasoned knowledge of credit life-cycle business
Lead and design credit risk strategies including pricing strategy, line assignment and etc., especially with intense experiences on leveraging ML/AI solutions
Lead feature discovery and continuous model/strategy optimization along with the rest of the data science org
Identify and evaluate new data sources to help model and strategy optimization
Develop tools to monitor and forecast performance to effectively manage the business
Partner with product managers, engineers and other cross functional partners to develop and deploy the solutions into production with best practices and high quality
Help guide and contribute the build out of the other credit risk function at Dave
What You'll Need
Minimum 6+ years of experience in credit risk management and predictive analytics
Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required; PhD is a plus
Deep domain knowledge in unsecured consumer lending or credit cards
Proficiency with SQL, Python; Cloud computing is a plus
Detailed, results oriented operator
Curious and creative problem-solver
Clear communication style to guide working teams and report out credit performance to executive stakeholders
Technologies we use and teach
Python
SQL
TensorFlow
PyTorch
Spark
GCP
Vertex AI
#LI-KM1
Don’t let imposter syndrome get in your way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles.
Why you’ll love working here:
At Dave, our people are just as important as our product. Our culture is a reflection of our values that guide who we are, how we work, and what we aspire to be. Daves are member centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual first company, team members can live and work anywhere in the United States, with the exception of Hawaii.
A few of our benefits & perks:
• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
• Flexible hours and virtual first work culture with a home office stipend
• Premium Medical, Dental, and Vision Insurance plans
• Generous paid parental and caregiver leave
• 401(k) savings plan with matching contributions
• Financial advisor and financial wellness support
• Flexible PTO and generous company holidays, including Juneteenth and Winter Break
• All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team
Dave, Inc. is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.
#LI-REMOTE #BI-Remote
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Data Scientist | Booz Allen Hamilton |
Data Scientist
The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning (ML), and artificial intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.
On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining2+ years of experience with statistical and general-purpose programming languages for data analysisExperience analyzing structured and unstructured data sourcesExperience developing predictive data models, quantitative analyses, and visualization of targeted data sourcesKnowledge of ML, AI, or Natural Language Processing (NLP)Knowledge of text mining or ML techniquesKnowledge of Microsoft 365 and Power AppsAbility to obtain a security clearanceHS diploma or GED
Nice If You Have:
2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL2+ years of experience with ML, AI, or NLPExperience with visualization packages, including Plotly, Seaborn, or ggplot
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $73,100.00 to $166,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Senior Data Scientist | Onestudyteam |
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At OneStudyTeam, we value belonging and believe in fostering an environment where a diversity of perspectives can thrive. This core value is a pillar of our business and critical to our success. Your voluntary responses will be used (in aggregate only) to help us identify areas of improvement in our process. Your responses are anonymous and will not be associated with your specific application and will not in any way be used in the hiring decision. If you do not wish to answer any of the questions below, please select "I don't wish to answer" or simply skip the question.
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Senior Data Scientist | Motive | |
Data Scientist | Oak Street Health |
Description
Company: Oak Street Health
Title: Associate, Data Scientist
Location: Chicago, IL / Remote
Company Description
Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street’s care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients’ health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit http://www.oakstreethealth.com.
Role Description
Oak Street Health is looking for an associate data scientist to join our care and risk modeling team. This team is responsible for delivering high quality modern data solutions through collaboration with engineers, analysts, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided. In this position, you will be responsible for taking on new initiatives associated with enhancements, expansion, maintenance and scaling in data science. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you from inception through production.
Core Responsibilities:
Utilize advanced mathematical and statistical methods to solve business problems under the supervision of senior data scientistsExecute exploratory data analysis to validate and quantify trends identified by partner organizations. Develop insights, visualizations, and other data artifacts that support broader data science initiatives Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashionDemonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitudeOther duties as assigned
What we’re looking for:
Bachelor’s degree and 1 year of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative fieldProficiency in SQL and PythonClear and concise through all mediums of communicationDemonstrated ability to decompose multi-tier problems into actionable stepsExcellent problem-solving and analytical skills Innate curiosity to get at the how and why of a problem US work authorizationSomeone who embodies being “Oaky”
What does being “Oaky” look like?
Radiating positive energyAssuming good intentionsCreating an unmatched patient experienceDriving clinical excellenceTaking ownership and delivering resultsBeing scrappy
Why Oak Street?
Oak Street Health offers our coworkers the opportunity to be at the forefront of a revolution in healthcare, as well as:
Collaborative and energetic cultureFast-paced and innovative environmentCompetitive benefits including paid vacation and sick time, generous 401K match with immediate vesting, and health benefits
Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply to oakstreethealth.com/careers.
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Data Scientist Marketing | Car Next Door |
#TeamNextdoor
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.
Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 305,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
At Nextdoor, our Growth Marketing team is charged with driving member growth and revenues from businesses advertising on the platform. This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform. We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions.
You will design/deploy complex models and best practices with regards to experimentation, measurement and reporting of results. You will bring a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with many leaders and stakeholders including but not limited to finance, data science, marketing, engineering, and product.
The Impact You’ll Make
You will have an opportunity to work in a growth focused organization and make a huge impact by optimizing how we use a multi-million dollar marketing budget. Your work will come to life through strategic/analytical thinking, operational excellence and creatively solving complex business problems. The team is responsible for the growth of the number of neighbors joining the platform but also the number of businesses joining the platform to advertise to different communities.
Your responsibilities will include:
Fluency as a full-stack data scientist which will enable Nextdoor to make data-driven marketing decisions -- from strategy to ideation to execution to testing and performance monitoring. There are multiple roles available on our Growth Marketing team that tap into many aspects of data science
Build growth, engagement, and revenue optimization models using a wealth of well-structured in-house data
Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies
Own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion. Defining success metrics that capture performance and identify actionable insights
Identify where we can invest in 3rd party data to enrich our decision making capabilities
Build out required performance measurement tools and dashboards
What You’ll Bring To The Team
3-8 years of expertise in quantitative analysis, ability to tell a story backed by data using data mining methods
3-8 years of experience using in-depth applied statistics and analytical experience in partnership with Marketing teams to optimize decision making
Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions
Ability to pull together your own datasets with strong SQL skills and knowledge of analytical programming languages including R or Python to conduct statistical analyses
Experience building predictive models using machine learning algorithms
Familiarity with experiment design and A/B test analysis including measurement selection
Can communicate effectively with a range of stakeholders
Curiosity for discovery and creativity in solving complex challenges
Bonus Points
Experience with complex attribution solutions
Worked with data vendors to enrich data
Knowledge of online advertising and ad tech space; robust understanding of online advertising best practices
Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range from $122,000 - $190,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.
We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.
We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
#LI-Remote
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Senior Data Scientist New Initiatives | Dropbox |
Role Description
We're looking for a Senior Data Scientist to partner with product managers, engineers, designers, researchers, GTM teams providing first class analytical insights, experimentation guidance, and data foundation suggestions via solid and rigorous product thinking and rigorous data science techniques. An ideal candidate should have strong ownership with a “can-do” attitude, feel comfortable to handle ambiguities bringing 0-1 products to the market, get critical and creative thinking, have great product acumen and wide business knowledge from user behavior, customer segmentation, monetization, to machine learning, data loggings, and great execution on the product strategies
Responsibilities
Understand what matters most and prioritize ruthlessly from both strategic and tactical levels. Be time sensitive and accountable.
Develop a deep understanding of customer journey phases. Define key business and product metrics including quality, engagement, retention, and growth ones.
Work with engineers and PMs to create the reliable, efficient, and scalable data infra as well as the experimentation process and standard.
Perform analytical deep-dives to analyze user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques.
Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, engagement, and retention trends.
Translate complex concepts into implications for the business via excellent communication skills, both verbal and written.
Work with cross-functional teams (including Data Science, Product, Engineering, Design, User Research, GTM, and senior executives) to rapidly execute and iterate.
Requirements
Have a startup mentality to be an outstanding problem solver. Be open and flexible for challenges including get ready to step up if necessary, equipped with great critical-thinking and creative-thinking
Take extreme ownership to drive product strategies with cross-functional partners by providing data insights
Be adventurous and curious about the AI and the relevant cutting-edge technologies
Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
4+ years of post-graduate industry experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
Significant experience with SQL and large unstructured datasets such as Hadoop. Be proficient with Python to perform analyses and to create necessary visualizations
Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
Solid background in designing, running and interpreting complex experiments to optimize a product or revenue flow
Strong verbal and written communication skills
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Associate Research Scientist | College Board |
About the Team The Policy Research Team designs and conducts research and analyses focused on improving student access to, persistence in, and completion of higher education. The data- and evidence-driven insights we provide drive actions that support college and career success and drive strategic organizational decisions.  About the Opportunity  The Research Scientist works with members of the Policy Research Team the larger Research team, product owners, and field staff to answer critical research questions to advance the mission of the College Board. You will work iteratively and collaboratively with stakeholders to produce high-quality data, visualizations, and various memos, papers, and scholarly reports to effectively communicate findings to a wide variety of audiences. 
 
In this role, you will:  
 
Provide Thought-Leadership and Strategic Guidance Using Data and Analyses to Constituents Across College Board Programs and Services, Including the SAT¬ģ, the Advanced Placement¬ģ Program, and BigFuture¬ģ¬†
Contribute to the development and refinement of data-driven products and services. 
Identify unique and previously unseen opportunities where College Board is positioned to influence college access and student success. 
Create compelling presentations, data visualizations, and written documents that relay information with clarity for diverse audiences.  
Travel periodically to present to practitioners, policymakers, and academic audiences.  
 
Develop and Lead a Scholarly Research Agenda with a Particular Focus on Topics Related to College Board Programs and Services 
Maintain a scholarly footprint by crafting new research ideas, conducting analyses, writing reports/articles and shepherding these through the peer review process. 
Synthesize research findings in memos with digestible talking points and visuals for both technical and non-technical audiences. 
 
 
Work Collaboratively with Teams Across the College Board to Engage in Strategic Analyses 
Generate rapid, data-driven insights for internal clients and partners that inform external conversations. 
On occasion, work urgently and on tight timelines to ensure that clients and partners have access to contemporary and meaningful data. 
 
About You 
You have: 
Strong expertise in statistical modelling and data analysis using appropriate statistical methods and software (e.g., SAS, Stata, R, Python) 
Experience with large, national datasets related to the education industry and the ability to work accurately and quickly with new datasets 
A commitment to generating scholarly research related and adjacent to College Board’s programs and services as well as the broader education policy community 
Adept problem-solving skills with data 
Excellent verbal and written communication skills with experience presenting to both technical and non-technical audiences 
Strong organization and prioritization skills and the proven ability to move forward multiple projects in concert, both independently and as a member of the team 
An appreciation for crafting actionable, data-driven insights on a rapid timeline 
A passion for supporting the educational opportunities for millions of students  
A strong interest in collaborating in a team environment and working agilely with researchers and non-researchers to support organizational priorities 
 
About College Board¬†College Board is a mission-driven not-for-profit organization that connects students to college success and opportunity. Founded in 1900, College Board was created to expand access to higher education. Today, the membership association is made up of over 6,000 of the world‚Äôs leading educational institutions and is dedicated to promoting excellence and equity in education. Each year, College Board helps more than seven million students prepare for a successful transition to college through programs and services in college readiness and college success‚ÄĒincluding the SAT¬ģ, the Advanced Placement¬ģ Program, and BigFuture¬ģ. The organization also serves the education community through research and advocacy on behalf of students, educators, and schools.¬†¬†¬†¬†About Our Benefits and Compensation¬†College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.¬†
 
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more. 
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions. 
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $80,000 to $130,000. The salary offer of an individual candidate within this range is specific to their location and qualifications. 
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process. 
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive.  EEOC statement College Board is proud to be an equal opportunity employer. We’re committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.  
 #LI-REMOTE
#LI-GG1
  
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Data Scientist | College Board |
Technology Department, Data Science Team100% RemoteThe Team:The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small, tight-knit, self-organized team of 6 Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.The Opportunity: As a Data Scientist you will work with several product teams and other Technologists on a largely independent endeavor to track, understand, and tell the story of users as they come to our products. You will share much of your work directly with the CIO and Chief Architect. You bring a portfolio of skills that allows you to work with a variety of data sources, clean and munge data with varying levels of structure, perform analyses to derive insights, and communicate clearly through data visualization, writing and presenting. Your ability to understand the data and the concerns and narratives around that data put people at ease and allow you to address concerns head on. You are passionate about understanding stakeholders and leveraging data to support their needs. You relish the opportunity to bring your ideas, love of coding, data savviness, and business acumen to answer tricky questions.In this role, you will: Perform data exploration, analysis, and prototyping (80%)
Ingest new data streams and integrate them with existing sources to deepen insights.
Perform thorough exploratory data analysis and raise new questions.
Create insights from existing data and drive the collection of new data.
Independently manage and complete all the work needed to deliver small-sized applications and analyses on time and at a very high level of quality.
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations.
Create reproducible, documented analyses and models that lend themselves to automation.
Build tools that are used daily by those concerned with our users and their ability to access our products.
Communications & Stakeholder Engagement (20%)
Assist in the identification and resolution of production issues.
Independently learn about stakeholder concerns and observations.
Communicate findings and assist stakeholders in interpretation of data and analyses.
Share reports and tools that allow stakeholders to self-serve data and analyses related to recurring questions.
About you, you have
Ideally a Master’s in a quantitative discipline or computer science, OR a bachelor’s and 1-2 years related experience, OR 3+ years related experience OR a great story to tell.
Programming expertise in Python (Preferred) or R (with an interest in Python).
Experience in data and statistical analysis, with a strong ability to interpret stakeholder concerns into analytical questions.
Experience with SQL and NoSQL databases.
A passion for solving difficult problems creatively.
Excellent communication and listening skills including helping others understand both problems and solutions.
Strong data visualization skill and the ability to tell a story with data.
Comfortable working with stakeholders across teams with a passion for helping your colleagues succeed.
Some experience with operationalizing data science tools, such as dashboards, or models.
Our Benefits & Compensation: College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $144,000 - $157,000. The salary offer of an individual candidate within this range is specific to their location and qualifications.
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process.
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
About Us:
We are motivated to positively impact the educational and career trajectories of millions of students a year
We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard
We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals
Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically
#LI-TheAcorn#LI-Remote
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Data Scientist Engineer Ii | College Board |
College Board – Technology Division; Data Science, ML, AI, NLP Group100% Remote (working EST)About the TeamThe Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small tight knit self-organized team of 6 Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.About the PositionAs a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savviness, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.In this role, you willDevelop machine learning applications (40%)
Design and implement high quality software using the latest and greatest cloud and machine learning technologies
Independently manage and complete all the work needed to deliver small sized applications and analyses on time and at a very high level of quality
Help identify and build components of complex machine learning models.
Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
Build functions, APIs, and data stores to make predictions and analyses accessible to other systems.
Data exploration, analysis, and prototyping (40%)
Create insights from existing data and drive the collection of new data.
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations.
Create reproducible, documented analyses and models that lend themselves to automation.
Team Operations & Success (20%)
Help the team break down the work into manageable tasks and support our Agile maturity.
Assist in the identification and resolution of production issues.
About you, you have:
Ideally a Master’s in a quantitative discipline or computer science, OR a bachelor’s and 1-2 years related experience, OR 3+ years related experience OR a great story to tell.
Programming expertise in Python (Preferred) or R (must be eager to learn Python)
Experience in data and statistical analysis
Experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
Experience with SQL and NoSQL databases
A passion for solving difficult problems creatively.
Excellent communication and listening skills, and can help others understand both problems and solutions.
The ability to tell a story with data.
Worked within a close-knit team and enjoy helping your colleagues succeed.
Knowledge in CI/CD, DevOps and Agile
Knowledge in developing applications on a Serverless or Microservices cloud platform (AWS preferred)
About Our Benefits & Compensation: College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The base salary range for a new employee in this position is $110,000 - $115,000 per year. The salary offer of an individual candidate within this range is specific to their qualifications.
Each salary offer is determined carefully using internal and external benchmarking. You will have an opportunity to discuss salary in more detail after you begin the application process.
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
About Us:
We are motivated to positively impact the educational and career trajectories of millions of students a year.
We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard.
We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals.
Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically.
#LI-TheAcorn#LI-Remote
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Senior Data Scientist | Easypost |
Founded in 2012, EasyPost is a YC unicorn whose mission is to make shipping simple for businesses, from garage startups to the Fortune 500. Shipping, now more than ever, is the backbone of the global economy, but integrating the technology-enabled operations of a modern business with the low-tech and complex shipping industry has always been a challenge. EasyPost solves this problem with the first developer-friendly REST API for shipping, and we continue to push boundaries and discover new ways to simplify shipping for all. Our team is rapidly growing, and this is the perfect time to get on board. Join us, and help build the shipping infrastructure of the future.
About the role:
We are looking for a data scientist to join our team who is excited about exploring large data sets to build compelling products and provide insights to drive company strategy. In this role, you will collaborate with stakeholders across our business, product and engineering organizations to solve the most pressing challenges the company faces. If you love to dive deep into fascinating data sets, tell compelling stories with data and enjoy working in a fast paced, collaborative environment, we’d love to hear from you!
What you will do:
o Work with internal stakeholders to provide data-driven answers to strategic business questions using a variety of techniques
o Research, prototype and track key company metrics.
o Build dashboards in Tableau/Python to monitor and share the resultsIdentify new areas of opportunity for the company and prototype solutions; conduct basic market research and find external data sources to validate these ideas
o Help build internal tools that help the business team make data-driven decisions and/or automate manual processes
o Contribute to existing internal and external machine learning-based products via researching new methodologies, creating new measurement/validation techniques, etc. to increase efficacy and business outcomes
About you:
o Programming skills in a scientific computing language (Python preferred) and SQL
o Understanding of statistics and machine learning; understanding of complexity vs. performance tradeoff in these systems
o Business acumen - understand business objectives, identify problems that data can help solve and drive the solution from start to finish
o Developed communication and presentation skills; ability to effectively translate technical concepts to stakeholders with a wide range of technical capabilities
o Collaborative attitude; open to giving and receiving constructive feedback, mentoring/assisting team members and contributing to a positive work environment
o Familiarity with SaaS business model/metrics and/or previous experience in e-Commerce/logistics
o Minimum of 5 years experience
What We Offer:
o Comprehensive medical, dental, vision, and life insurance
o Competitive compensation package and equity
o 401(k) match
o Monthly work from home stipend of $100 net
o Flexible work schedule and paid time off
o Collaborative culture with a supportive team
o A great place to work with unlimited growth opportunities
o The opportunity to make massive contributions at a hyper-growth company
o Make an impact on a product helping ship millions of packages per day
Data Privacy Notice for Job Applicants:
For information on personal data processing, please see our Privacy Policy: https://www.easypost.com/privacy
"EasyPost is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law."
To be considered for this position, you must be authorized and based in the United States.
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Staff Advanced Analytics Guest Product | Airbnb |
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
We are looking for a team member to help Airbnb enable travel for our millions of guests and hosts on our platform. This Product Analytics role will sit under the Advanced Analytics family and support Product leaders.
The Difference You Will Make:
You will be a Data thought leader to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions. You will make a major impact on our guest and host facing product, help us determine what new features to launch, and how to make them better.
A Typical Day:
Developing a deep understanding of how guests and hosts interact with our product through structured and unstructured data sources.
Work closely with Product Managers to design, execute and evaluate A/B tests. Understanding common pitfalls and caveats when designing and evaluating results.
Define how to best measure the performance of Airbnb product and business through new metrics and dimensions - align on definitions with the business (evaluating tradeoffs and defining guardrails), and prototype metrics through custom data pipelines.
Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build data tools for mass consumptions within Airbnb.
Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing others.
Your Expertise:
8+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Experience in a Product Analytics or Data Science role
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Experience partnering with product teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
Experience in analysis of A|B experiments and statistical data analysis
Experience designing and building metrics, from conception to building prototypes with data pipelines
Strong knowledge in at least one programming language (Python or R) and in SQL
Ability to drive data strategies, with a central source of truth to impact business decisions
How We'll Take Care of You:
Our job titles may span more than one career level. The starting base pay for this role is between $170,000 and $215,000. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb, Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Apply now
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Senior Data Scientist | Cvs Health |
Job DescriptionCVS Health’s mission is to improve lives by making innovative and high-quality health and pharmacy services safe, affordable, and easy to access. Our team embodies this mission each day, pioneering bold new approaches to total health. We leverage large health and retail datasets & advanced data science techniques to drive the company’s pharmacy operations strategy; some examples over the past year include rolling out COVID-19 vaccines across the country as the lead retail provider in the nation, improving the pharmacy experience for millions of patients, and optimizing activities for thousands of medical providers. We are seeking talented & passionate individuals to be part of this high-impact team. Why CVS Health Analytics & Behavior Change?Looking for opportunities to use cutting-edge technologies to analyze petabytes of data? Interested in generating analytical insights to optimize retail and community pharmacy care?The Analytics & Behavior Change team is an elite, rapidly growing community of nearly 1,000 MDs, PhDs, MBAs, and MScs from top-tier universities and industries who bring their clinical, technical, and economic experience to bear in tackling some of today’s most critical healthcare questions. Get in at the ground floor of our digital transformation. The combined data assets of CVS Health are massive and largely untapped. Help us revolutionize healthcare by innovating solutions to high-visibility challenges with unparalleled access to unique datasets.What you’ll doThe Retail Operations & Immunization Analytics team provides analytics based strategic recommendations on all initiatives in the pharmacy. Over the past year, this has included rolling out nationwide COVID-19 vaccines, testing, & medications at scale while maximizing health equity, provider safety, and public health priorities. We continue to stand up a robust analytics engine to optimize these ongoing initiatives and provide executive reports for internal leadership & government leaders. Upcoming activities include rolling out critical initiatives to optimize immunizations and pharmacy product delivery, building a comprehensive analytics platform across all CVS pharmacies & providers, and improving store service levels for our customers. The team wields cutting-edge analytics and data science techniques to improve the efficiency and effectiveness of our immunization and retail store operations. If you are a hands-on doer who enjoys an entrepreneurial working environment, join us as a Senior Data Scientist. In this role, you will help manage and execute a portfolio of predictive modeling, forecasting, optimization, and evaluation projects. You will serve as an internal expert to business teams within our Retail Health business, to help them harness the power of data to answer mission critical problems and develop new and innovative products. You will report directly to the Lead Director of Data Science for Immunization and Public Health Analytics, while working together with a team of Data Scientists, BI developers, and analytics consultants. There is an option to be fully remote. In any given day, you will• Apply experience from strategy consulting and data science to successfully act as the owner for analytics and research initiatives • Collaborate with business partners to understand key drivers of value, as well as challenges and goals for new products and their implications for public health• Identify opportunities to translate business needs into data science solutions and develop actionable insights to address key challenges in healthcare and pharmacy care provision• Wrangle large structured and unstructured datasets from disparate enterprise databases, including prescription drug and medical claims, Electronic Health Records, retail transaction data and publicly available public health data sources.• Determine analytical approaches, modeling techniques and performance metrics to optimize and evaluate new health programs or interventions – previous projects have applied a diverse set of solutions using retrospective or prospective data analysis, including classification and targeting approaches, causal inference methods, NLP and machine learning models. • Establish workplans, timelines, and deliverables for analytics and data science projects, and effectively weigh business and technical tradeoffs• Present modeling results and recommendations to senior stakeholders, tying progress to enterprise goals. • Share insights across teams to inform collaborative efforts. Develop white papers, publications and conference presentations based on key findings from projects.
Pay RangeThe typical pay range for this role is:Minimum: 90,000Maximum: 180,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 2+ years of experience leading analyses and data-driven initiatives with a demonstrated track record of business impact and problem-solving • 4+ years total experience• 2+ years’ experience extracting data using SQL or Spark• 2+ years’ experience conducting data analyses using R or Python• Demonstrated proficiency in using causal inference, applied statistics, machine learning and predictive modeling methods • Data visualization & storytelling experience (e.g. with tools such as Tableau)
Preferred Qualifications• Experience using advanced analytics tools to combine large data sets from multiple data sources and analyze them in a big data environment (such as ADL, Snowflake, DataRobot)• Healthcare sector or public health experience• Proficient in working with healthcare claims data• Strong ability to communicate technical concepts and implications to business, policy, and public health audiences
Education• Bachelor’s degree in quantitative field, such as statistics, economics, data science or computer science. • Graduate degree in a quantitative field or MBA with a quantitative focus strongly preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply
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Senior Behavioral Scientist | Zillow |
About the team
The Behavioral Science team sits within a multidisciplinary team of researchers, Zillow Research & Insights (ZRI), which includes Customer and Partner Insights Strategists, UX Researchers, Behavioral Scientists, and Population Scientists. We all play a significant role within the greater product and marketing organizations. ZRI sits within Zillow Experience Design (ZxD), a fast-paced, collaborative, and driven product design team. We’re a tight-knit, fun-loving, and upbeat group.
We are dedicated to improving the home buying and selling process through the application of behavioral science theory. We seek out and validate exciting new ideas using primary research.
We care deeply about solving problems for real people – customers, co-workers, and everyone else. We seek to make everything a little better than we found it.
About the role
As a senior behavioral scientist, you’ll drive quantitative research and provide our data-hungry team with actionable insights addressing customer and business needs. Our mission is to make Zillow the most-loved place to discover, buy, sell, or rent a home. If you enjoy working across functions and want to be involved in some of the company's biggest initiatives, then this job is for you!
Responsibilities
Combine behavioral science theory with advanced research designs and statistical methods to investigate and tackle ambitious business and customer problemsLead quantitative research through the entire research cycle (e.g. ideation, design, analysis, dissemination)Work closely with product managers, marketers, designers, and engineersPresent actionable findings, engage partners in research, and influence them to take actionLead multiple projects independently, prioritize business objectives, and deliver high-quality work on timeContribute, learn, grow, and have fun!
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $134,800.00 - $215,300.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Applicants should have a PhD or MA in a behavioral science field (behavioral economics, cognitive or social psychology, information sciences, marketing or a related field)2+ years leading experimental and quasi-experimental research in an industry setting or 5+ years with MAExpertise in statistical inference, including advanced methods (e.g., NLP, longitudinal regression methods, machine learning)Expertise with survey design and analysis (specifically for the purposes of experimental and/or quantitative analysis) and experience applying advanced experimental research designsProficient with data analysis using R, Python, or similar, and experience with SQLSkilled at identifying and translating business needs into research projects and moving projects from an idea through to actionable data-driven recommendationsExperience prioritizing research activities to deliver practical insights and direction quicklyStrong informal and formal communication skills. A cross-functional collaborator.
Here at Zillow, we value ALL candidates with a diverse set of backgrounds, experience, and skills. If you have experience and meet at least some of the criteria, we encourage you to apply!
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Principal Data Scientist | Zillow |
About the team
Zillow Group’s mission is to give people the power to unlock life's next chapter. The Customer Conversion AI team builds models that enable smarter products and deliver strategic insights that help customers transition from browsing to successfully buying or selling a home.
Zillow, the top real estate website in the U.S., is building an on-demand real estate experience. Whether selling, buying, renting or financing, customers can turn to Zillow to find and get into their next home with speed, certainty and ease.
About the role
This role will employ a variety of machine learning and data science methods with a specific focus on stochastic models (namely, Markov Chains and queueing theory) to model customer journey flows as graphs with probabilistic transitions and inter-event times. You will partner with data infrastructure and engineering teams to apply consumer journey history data to answer questions around how to improve customer experience and drive operational efficiency. Insights derived from your work will guide the design of processes that reduce customer friction and increase transaction conversion. You will mentor and influence other scientists in the organization adopt new methods, new tools and new problem framing paradigms in their work.
You will get to:
Build out a Markov Chain (experimenting with varying levels of memory and time discretization) of customer journey while engaging with ZHL.Build out the corresponding network of service queues to the Markov Chain to estimate metrics such as throughput-rate, inter-event times and staffing level efficiency as a measure of customer experience and friction.- Collaborate with data architects and data engineers to drive data design decisions for how we gather, model and use customer journey data (ex. how has someone interacted with the site or with various operational steps) to model their flows through processes like Zillow Home Loans and the seller experience. Additionally, you will contribute to the computable journey map (the ZHL Soft credit POC) and have opportunity to work with graphical causal inference (the PyWhy/DoWhy) frameworkLeverage large, multi-modal datasets of online and offline customer data to identify and solve customer challengesPartner with multi-functional teams such as mortgages, agent products, buyers, and sellers to solve the most exciting modeling problems.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $165,600.00 - $264,500.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
At Zillow, we are a group of curious and ambitious problem solvers passionate about all things real estate, and we hope you'd be excited to help consumers make one of the biggest decisions of their lives. Help us guide our business into the future with powerful insights and recommendations! We are always learning and experimenting with new approaches. We're seeking a data scientist with the following qualifications:
A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)Experience with stochastic models (focus on discrete time Markov Chains, queueing theory, service operations) and data modeling with dbt, especially with applications in loans and/or customer service5+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving.Proficiency in SQL, and either Python or R, along with some experience with Tableau, Mode, or other visualization softwareSuperb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plansAble to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.
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Data Scientist Invoices | 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
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. With support from the Invoices Data Science Lead, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Invoices product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve 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 mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retentionFamiliarity with Marketing analytics and experimentation
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, 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.
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Lead Data Scientist Zynga Games | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an experienced Data Science Lead to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role is focused on leveraging our first-party data from Zynga and Take Two to improve the performance of our platform for mobile advertisers, and will partner closely with our data and platform engineering teams to prototype and deploy new signals in our bidder.
Impact you will make:
Explore and develop expertise with cutting-edge infrastructure for model development, deployment, and observability
Build a team of motivated, resourceful data scientists working on a business-critical and highly visible product
Produce new methods and workflows for leveraging first-party data sets
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with game studios and advertisers on the delivery of results
Who you are:
BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5+ years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
1+ years of Data Science or Software Engineering team leadership experience
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience working with large-scale data sets across a variety of data sources
Track record of clear communication, successful project management, and collaboration with product or business teams
The following experience would be a plus:
Hands-on with deep learning in production pipelines
Ad Tech or Mobile game industry
Perks:
Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely
Private health insurance
Life insurance
Optical complement for glasses or contact lenses
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Director Data Science | Bluelabs |
About BlueLabs
BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.
About the team
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.
About the role:
The Director of Data Science will be responsible for leading in all aspects of BlueLabs’ modeling work and experimental and causal inference work, including statistical methodology, validation, and innovation. This person will manage the process, analysis and execution of modeling and experimental design and guide our Data Science team’s efforts, translating them for other clients and projects. This leadership position will directly manage a team of data scientists and have experience coaching, guiding, developing, and mentoring a team.
In this position, you will:
Lead on modeling methodology, including the introduction of new and innovative solutions to existing problems, as well as the methodology of causal inference and experimental design
Build and maintain team-wide statistical best practices for the execution of our research projects
Manage a team of 10+ data scientists and analysts
Create and deploy team-wide standards for the development, assessment and QC of our core processes and functions
Partner with our Client Solutions team to plan and execute models and research designs including developing proposals on the feasibility of modeling and/or experiments
Develop and implement training and professional development programs for the Data Science team to continuously improve and grow team members’ skill sets, implementation and refinement of statistical methodology, and the vetting and incorporation of new techniques
Coordinate with team members within and across-divisions on the surveys that will inform the modeling and research efforts
Ensure that research adheres to statistical rigor
Advise on other research priorities for clients such as message testing and qualitative research
Lead BlueLabs internal research on modeling best practices, validations and techniques
Work alongside our Client Solutions and Insights teams to allocate staff time and resources to accomplish client deliverables
Act as the internal authority on new research in the community
What we are seeking:
Bachelor’s degree in a related field with statistical background
5+ years’ experience in varying aspects of statistical modeling and causal research including the deployment of models in a real world setting
2+ years experience leading, coaching, developing, and working with technical teams
Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
Demonstrated experience defending statistical methods and detailing their implications as well as manipulating different data sets to identify clear insights
A strong sense of process, organization, and collaboration
Experience with programming languages such as Python and SQL and statistical software such as R, SPSS, etc.
Proven success conducting data analysis on tight deadlines where the problem is unstructured, or the guidance is open ended
Expertise in various spreadsheet and presentation softwares including, but not limited to, Excel, Google Sheets, PowerPoint, and Keynote
Passion for harnessing data-driven solutions to improve social outcomes and dedication to finding the best solutions for our clients and stakeholders
A keen sense of clear design and attention to detail, with the ability to recognize patterns and to check assumptions - whether they are your own or someone else’s
Ability to distill requests with a lot of detail down to the most important points and find the most relevant information in a sea of facts
What recruitment looks like:
The process for this position will include an HR phone screen, a technical assessment, and two virtual interviews. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready.
What We Offer:
The salary range for this position is $130,000-$160,000.
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!
While we have an office in Washington, DC, we are open to considering candidates from within the U.S.
To protect the health and safety of our workforce, as a company policy, BlueLabs strongly encourages all employees to be fully vaccinated against COVID-19 prior to beginning employment. BlueLabs adheres to all federal, state and local COVID-19 vaccination regulations. Except where prohibited by law, applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment; if not the offer may be rescinded or employment terminated. BlueLabs will evaluate requests for reasonable accommodations for applicants unable to be vaccinated due to a religious belief, disability or pregnancy on an individualized basis in accordance with applicable laws.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)
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Fellow Data Science | Bluelabs |
About BlueLabs
BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.
About The Team:
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.
About The Role:
Fellows will be provided a chance to work directly with data scientists, strategists, analysts, and client leads on meaningful, hands-on work, while being guided and supported by their manager. Fellows will also be expected to complete a capstone project as part of their program with BlueLabs.
The Data Science Fellow will work with our team to help our clients harness their data to improve and test their outcomes.
The Data Science Fellow will work with BlueLabs for 12 weeks at 40 hours per week, from June 5, 2023 - August 25, 2023.
In this position you will:
Find new and innovative ways to apply new and existing data to our work
Help expand our Influencers product including identity resolution and network analysis
Assist in the creation, maintenance and improvement of our internal tools that power things like our polling operations
Perform rigorous data cleaning and analysis to inform our work across our political, non-profit and corporate projects
What We Are Seeking:
Genuine passion for working with a progressive social impact organization
Familiarity with a coding language such as R or Python - SQL is a plus!
Familiarity with general statistical concepts and best practices
Interest or experience in creating informative and engaging data visualizations
Interest or experience in applying foundations of statistics in a work or project setting
Ability to communicate technical concepts to a non-technical audience both in writing and verbally
What We Offer
BlueLabs offers a friendly work environment and competitive benefits package including:
premier health insurance plan
paid time off
professional development & learning stipend
flexible working hours
remote/telecommuting options
and more!
BlueLabs is willing to complete paperwork for successful candidates who are students and are interested in earning academic credit for the fellowship experience with us.
The compensation for this role is $25 per hour, at 40 hours per week.
To protect the health and safety of our workforce, as a company policy, BlueLabs strongly encourages all employees to be fully vaccinated against COVID-19 prior to beginning employment. BlueLabs adheres to all federal, state and local COVID-19 vaccination regulations. Except where prohibited by law, applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment; if not the offer may be rescinded or employment terminated. BlueLabs will evaluate requests for reasonable accommodations for applicants unable to be vaccinated due to a religious belief, disability or pregnancy on an individualized basis in accordance with applicable laws.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)
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Srdirector Checkout Product Data Science | Paypal |
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
When applying for a job you are required to create an account, if you have already created an account - click Sign In.Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account:
Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name.Please avoid using fully capitalized text for your First and/or Last Name.NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID.
Job Description Summary:
This leader will oversee analytics for PayPal’s flagship product – Checkout. As the leader of a global team, the Sr. Director, Checkout Analytics will provide exceptional services, recommendations and vital insights to PayPal’s Product and Technology organization which will drive the overall strategy and direction.
Organizationally, this executive will oversee a global team comprised of Data Scientists and Quantitative Analysts within the Consumer Analytics and Data Science organization which is part of the Global Analytics & Data Science team. This organization is designed to align to and support senior level executives across PayPal and is comprised of sub-teams around the globe. The Sr. Director, Checkout Analytics will have the opportunity to shape the role and composition of this team in-line with the team’s mandate to deliver world-class service as the global analytics and data science function for all of PayPal.
Job Description:
The Sr. Director, Checkout Analytics will focus on advancing his/her teams’ capabilities, creating a “best-in-class” analytics framework, integrating cutting-edge solutions, and developing close partnerships with business stakeholders. In so doing, s/he will ensure the Global Analytics & Data Science organization enables business growth through highly- relevant and advanced product performance insights and recommendations that inform sound decision-making and drive distinctive value to PayPal’s customers. This executive will develop an outcome-oriented strategy incorporating differentiated tactical solutions. Key responsibilities for this role include:
Partner with business leaders to develop and drive actionable insightsCollaborate with product, finance, and other domains in order to shape differentiated analytical services and solutions that benefit the businessServe as a bridge between product, finance, and other functional areasDevelop strategy and tactical solutions for advanced analytics capabilities that ensure PayPal is making data-driven decisionsPrioritize analytics and delivery initiatives and build a trusted, business-oriented, and highly- capable organizationAttract, retain and develop a world class analytics team across a global footprint
Candidate Profile
The ideal candidate will have strong executive presence with a proven track record in analytics and data science, with an outstanding reputation for having been a driving force in delivering insights for competitive advantage. The successful candidate will have:
Experience shaping business decision-making and impacting the business on a strategic-level through the delivery of best-in-class analysisExperience building and leading analytics teams in a high-touch consumer-oriented environmentExperience across product, business intelligence, and other analytics domainsExperience developing high-performing teams and building trusting relationships with business stakeholders
In terms of the performance and personal competencies required for the position, we would highlight the following:
Strategic Capabilities: The successful candidate will optimize analytics to drive insights and strategic direction across product, finance and related functions. S/he will demonstrate impressive intellectual horsepower and critical thinking skills which can be accretive to the existing senior team. The ideal candidate will apply pragmatism and sound judgement to business issues and be able to quickly integrate complex information, a thorough understanding of customer segments, and different points of view into solutions. S/he will exhibit a highly disciplined approach to developing and executing analytic initiatives that reflect broader business objectives and be able to incorporate key inputs from multiple stakeholder groups. Intellectual curiosity should exude from this person – S/he should be able to find stories in the data and ask the right questions.
Analytics Capabilities: The successful candidate will understand how to identify insights by combining information derived from analytics and business knowledge. S/he will leverage a holistic view of testing and data assets to deliver a compelling enterprise vision for how advanced analytics can contribute to optimizing customer experiences, product performance and critical corporate KPIs. S/he will have a firm grasp of business fundamentals and will apply rigorous analytics to address complex business challenges.
Leading Teams & Relationship Building: This executive must be a dynamic, self-aware and humble leader whose track record buys immediate credibility across a diverse business. S/he will also be an inclusive leader, able to grow a team (internally and externally), inspire others, and engage directly with the business. The ideal candidate will have exceptional influencing skills, adept at driving organizational change through the appropriate mix of partnership, collaboration and leadership. This person will have a record of building high trust relationships in an organization. S/he has a proven collaborative approach and openly shares information and is receptive to the ideas of others. Key criteria include:
Excellent people and stakeholder management skills, to include strong influencing skills and ability to navigate a global and matrixed organizationStrong passion and commitment for attracting and developing talentOutstanding problem-solving skills, with strong ability to drive towards action and impactDemonstrated ability to drive business value through research, insights and measurementAbility to lead through ambiguity and changeStrong affinity to the consumer tech and/or financial services categoryMastery in analyzing product data (complex and multi-dimensional data sets)High-energy and self-driven orientation
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
-
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$131800 to $319000
Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:Click Here to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.
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Data Science Mng Marketing Analytics | Paypal |
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
When applying for a job you are required to create an account, if you have already created an account - click Sign In.Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account:
Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name.Please avoid using fully capitalized text for your First and/or Last Name.NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID.
Job Description Summary:
Our Marketing Analytics transformation is in full swing. We embarked on a path of transforming and building a world class Marketing Analytics Org recently. Our team helps to power PayPal’s high growth Marketing organization by delivering actionable insights and business intelligence to Consumer Marketing Org for our 200+ million customers.
Job Description:
In this role, you will lead a workstream solutions for complex, ambiguous and high-visibility business challenges. You will set and execute on a vision that reflects your deep analytical expertise. You will be a thought partner to Marketing leadership teams.
You will partner with these teams to understand the insights they require to manage and grow their business and leverage cross-functional teams to develop and land solutions that meet their needs at scale. You are deeply curious and persistent in gaining knowledge about our products and go-to-market strategy.
You will have exposure and visibility to PayPal Sales, Product, Finance & Market Insights teams, as you work with them to create a holistic solution to Marketing problems. We are a team of entrepreneurial, enthusiastic, and client-focused members.
If you are a fast learner, are willing to learn and grow, have a can-do attitude, and wants to solve problems in the most pragmatic way You are curious and inquisitive: love digging into data and uncovering insights You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling You are familiar with data science and machine learning techniques to improve product experiences You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
You are a fun-loving, adventurous team player; we would like to talk with you.
Additional Job Description:
The successful candidate will be responsible for providing data-driven insights including but not limited to Business casing, Deep dives, Modelling, Campaign Performance readouts and optimisation. The Manager will also be responsible for delivering accurate, action driving recommendations to drive business performance and investment optimisation. This is a people Manager role with heavy Individual contribution on Strategic projects. Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment Influence stakeholders to make business decisions in alignment with global measurement approaches
Requirements
Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics 5+ years of experience in analytics, data science or management consulting or equivalent analytical and project management experience Accomplished Contributor, with experience managing high-performing Data Scientists and Quantitative Analysts
Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams Exceptional problem-solving skills, with strong ability to drive towards action and impact Experience in managing analytics projects from inception to delivery, including developing structured solutions Experience with visualizations, dashboards, and reports Experience with data modelling, machine learning algorithms, and data science techniques. Hands on experience of Python, SQL & BigQueryExperience explaining technical concepts and analysis implications to varied audience and translating business objectives into analyses
Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses
Subsidiary:
PayPal
Travel Percent:
0
-
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$84500 to $204600
Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:Click Here to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.
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Data Scientist Machine Learning | Leasequery |
The LeaseQuery Data Science and Machine Learning team builds the machine learning services that power features across LeaseQuery’s suite of lease accounting products. This is a role where you will get experience building a range of production machine learning models providing value to real users. The Data Scientist that we hire will be charged with developing new machine learning models, maintaining and improving models already in production, and other data-related tasks required to make ML happen at LeaseQuery. You will work closely with our MLEs, developers, devops, product, and UX teams, among others, to help create ML-driven product features. Additionally you will work with other teams at LeaseQuery on data-centric projects to help us succeed across the board.
We value experience, but even more important to us is the willingness and ability to continuously learn, as DS/ML is constantly evolving. We are looking for great teammates, who are nice people and happen to be extremely good at what they do.
What you will be doing
ML model development and maintenance
Data wrangling for ML
Data analysis for ML and reporting
Working with Product and other Engineering teams to integrate our ML features and services with our broader product
Working with internal teams across the company to identify and solve problems amenable to DS/ML solutions
Learning new DS/ML techniques and best practices, as well as subject matter related to LeaseQuery's business
What experience and skills we need you to have
This is an entry level / early career role
Strong foundations in ML concepts, as demonstrated by previous work in ML and/or coursework in ML
Strong understanding and experience building ML models, as demonstrated by previous work in ML or publicly available ML projects (Github, HuggingFace, Kaggle, etc)
Experience writing and maintaining code (Python) that is used by others, as demonstrated by previous work or publically available code
Ability and desire to learn new techniques, topics, and technologies as demonstrated by recent coursework, projects, or work experience
Nice to haves
Experience with the end-to-end ML process (ideation, creation, deployment, and maintenance of models) at scale
Experience with NLP models, tools, and best practices
Experience with document information extraction
Knowledge of general accounting practices or work experience in accounting
Experience with the AWS ML stack
Benefits
Flexible PTO (including 11 holidays and your birthday off)
401(k) plan with employer matching
Great health benefits with multiple plan option
Option to choose between in office, fully remote, or a hybrid work environment for all employees
Sabbatical program (4 weeks after 5 years of service)
Casual dress environment (when in office)
Catered lunches every Tuesday and Thursday
Company events each quarter
Signing stipend for a work-from-home setup
Free gym membership at our office
Annual employee development program stipend of $2,000 for each employee
Flexible parental leave with 10 weeks paid leave for ALL new parents
Fertility/adoption assistance
Annual tutoring stipend for your children
Mentorship program available immediately
Regular team outings
Advancement opportunities based on results, not politics
Culture that emphasizes inclusiveness driven by our REDI Committee
About Us
LeaseQuery simplifies complex accounting with our innovative FinTech SaaS technology. Our products, used by more than 3000+ organizations in 87 countries, are top rated for user satisfaction and ease of use by G2, and our company has appeared on the Deloitte Technology’s Fast 500 list and Georgia’s Fast 40 list among many other recent accolades over the past several years.
During the past decade, our CEO, George Azih, grew LeaseQuery from a one-person company to a workforce of 350+ representing one of the fastest-growing FinTech companies today. As we move into our next phase of growth, we're looking for passionate and dedicated people who want to invest their energy to align with our company's long-term goals.
LeaseQuery is an equal opportunity employer to all persons, free from restrictions and prejudice based upon race, color, creed, religion, sex, domestic relationship status, parental status, family status, sexual orientation, national origin, gender identity, age, disability, and veteran status. LeaseQuery maintains a drug-free workplace.
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Data Scientist Auto Finance | Caribou |
About the Role
Caribou is looking for a data scientist with 5+ years of experience in data science, quantitative modeling or machine learning. As a data scientist, you will partner with cross functional teams to deliver model solutions to credit acquisition initiatives. You will create and maintain the code, models and documentation and investigate issues and opportunities. In addition:
Present results to peers, leadership and partners
Work cross functionally with teams to explain key performance drivers
Develop process to validate and backtest models
Incorporate testing into models for recommendations to improve initiatives
About You
As a data scientist, you have experience working with statistical techniques such as regression, boosting, GLM and random forest. You are fast and effective at problem solving and able to identify model solutions to business problems. In addition:
A degree in a quantitative field, preferably computer science, math, economics, statistics, finance, or engineering
5+ years of experience in a data science role in the technology or finance space
Experience developing model solutions in financial services
Experience working in cloud ML environments (GCP, AWS, Azure, VertexAI, etc.)
Experience in SQL and Python, including key data science packages (Scikit-learn, XGBoost, Pandas)
Demonstrated ability to explain and visualize complex data science techniques to non technical audiences
The ability to break down and solve large unstructured problems
Independent thinker and self starter
How we will take care of you
Competitive base salary of $110-$140k annually
Equity in a high growth startup
Fantastic health, dental, vision, and mental health insurance, where we cover 100% (yes, 100%!) of the premium for you and your family, and a generous PTO plan
Company-paid for short & long term disability insurance and basic life insurance
Optional benefits include HSAs, FSAs, voluntary life insurance, and pet insurance
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Senior Manager Data Science | Flock Safety |
Who is Flock?
Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society.
Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere. Our technology detects and captures objective details, decodes evidence in real-time, and delivers investigative leads into the hands of those who matter.
While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised over $380M in venture capital including a recent Series E round led by Tiger Global. Now surpassing a 3B valuation, Flock is scaling intentionally and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Additional Information
How To Succeed at Flock Video
Flock’s Series E Announcement
How We Stop Crime and Protect Privacy
Flock’s Framework
Ethics Center
The Role
As Senior Manager, Data Science, you will lead cross-departmental projects to explore, mine, and analyze data, and leverage it using advanced analytical techniques to prescribe solutions to critical business problems.
How you’ll make an impact:
Lead efforts around analyses on large datasets using statistical and AI techniques to derive insights
Design and build seamless decision support tools that leverage advanced analytical techniques, with an ability to identify/drive both simple and complex technical solutions
Understand and augment key data sources to be leveraged in decision making
Work with teams from across the business to execute on data and analytics needs to help them better understand tactical and strategic opportunities
Partner with system owners, Data Engineering, and Data Architecture teams to drive projects to capture and/or define new data needed to improve Data Science opportunities
Work directly with senior leadership to understand opportunities to drive value, and lead end-to-end design and implementation of insights and solutions
Lead a team of Data Scientists, playing the role of player/coach
We’re looking for people who have:
BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience
5+ years proven experience as a data scientist, ML engineer, or BI engineer
2+ years leading projects and managing other analysts or data scientists
Strong experience using Python and its core AI/ML/OR packages
Strong SQL and data processing skills
Strong experience modeling data to drive analytics
Experience productionizing Data Science solutions using CI/CD and orchestration best practices
Experience in Tableau or other BI software a strong plus
Ability to communicate and drive for solutions to complex and abstract problems
Effectively communicate, and seek to understand and be understood
Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.
Our Values
Our values define how we approach our work every single day:
Do the Work
Optimism With a Plan
Embrace Change to Grow
Protect the Whole Community
To read more about our values click here.
Why Join Us?
While being surrounded by a bunch of cool people working to eliminate crime is its own reward, we have plenty more to offer:
We have raised over $380M in venture capital and are backed by some of the top VCs including a16z, Tiger Global, Meritech and more
91% of our employees recommend working here
We have an audacious goal of reducing crime in the United States by 25% over the next three years
3% of crimes in the US are solved by Flock, and we help to solve ~200 crimes a day
We partner with 2100+ cities and 1500+ agencies across the US and process 1.1B+ images a week (we process more images than Instagram 🤯)
The Perks
💰Salary & Equity: In this role, you’ll receive a starting salary of $175,000-$200,000 as well as stock options
🌴Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
⚕️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
👪Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers.
🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. We will reimburse $10,000 a year for adoption, surrogacy, or infertility.
🧠Mental Health: All employees receive an annual subscription to Headspace
💖Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
💻WFH Stipend: $150 per month to cover the costs of working from home.
📚L&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
🏠Home Office Stipend: A one-time $750 to help you create your dream office.
🏢Coworking Space: If you’re not local to our ATL HQ, we’ll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area).
🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies.
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at [email protected]. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.
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Sr Data Scientist Marketing Operations | Docker |
Docker is a remote first company with employees across Europe and the Americas that simplifies the lives of developers who are making world-changing apps. We raised our Series C funding in March 2022 for $105M at a $2.1B valuation. We continued to see exponential revenue growth last year. Join us for a whale of a ride!
You will be part of a newly formed department, Marketing Operations. You will help create the necessary framework and tooling used by all marketing departments. You will liaise with product teams directly to build up the needed capabilities and influence their roadmaps. You will be at the core of enabling Product Marketing, Growth, DevRel, and Brand programs to succeed by providing tools and insights to make better data-driven decisions. You will create analyses and assessments which will support department leads to prioritize their investments and understand correlations between program outputs and top-line outcomes.
You’ll be successful in this role if you’re excited to shape your discipline, use cutting-edge technology, and are eager to help support multiple teams and individuals to create effective management systems. You’ll thrive if you see opportunities for improvement everywhere and want the space to push your discipline to its full potential.
Responsibilities:
Define the scope and build the analytics arm of Marketing OperationsUse sophisticated modeling techniques such as causal inference to undercover insights related to user behavior, interpret data across channels to provide quick turn-around insights to brand and content teamsBuild management systems, scorecards, and data-visualization based presentations that enable marketing leaders to make better decisionProvide projections and forecasting for platform, channel/content strategy and planningSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)
Qualifications:
Understanding of econometric modeling (like regression, linear, ridge) and how to apply models to measure marketing efficiency and optimize spend, to flight and mix to maximize return on ad spend (i.e., MMM)Strong knowledge of SQLDoing analysis using Python or R, expertise across digital research and analytics tools (Google, Omniture, Tubular, Comscore) Experience with at least 1 BI tool (Power BI, Tableau or Looker)Knowledge of git versioning and controlAdvanced experimentation experience, including multivariate and causal analysisStrong verbal and written English communication skills
What to expect in the first 30 days
Get to know the teams, products, and customersJoin a Docker meetup and get to know the community and user baseGet acquainted with the Docker culture centered around humility, developer obsession, open collaboration, and bias for considered action
What to expect in the first 90 days
Create a plan with department leads to build solid management systems and reporting for their programsDrive insights and uncover investment opportunities from currently available dataWork closely with different teams to influence decisions on infrastructure and represent marketing and its needs
What to expect in the first year
Support overall decision-making and have solid tools and models in place to enable big investment decisionsUse advanced ML techniques to understand user behavior and create user segments that will improve the understanding of current users' behaviorsSupport the cultural changes to become a data-driven organization by enabling a wide variety of stakeholders to understand and use data in their decision making
Perks:
Freedom & flexibility; fit your work around your lifeVariety of virtual and in-person social events to build connections and have funHome office setup; we want you comfortable while you workGenerous maternity and parental leaveTechnology stipend equivalent to $100 net/monthPTO plan that encourages you to take time to do the things you enjoyWhaleness Days: companywide day off each monthQuarterly, company-wide hackathonsTraining stipend for conferences, courses and classesStock Options; we are a growing start-up and want all employees to have a share in the success of the companyDocker SwagMedical benefits, retirement and holidays vary by country
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be.
CA/NY/Boulder, CO/Denver, CO $154,000 - $210,000
Colorado $144,000 - $197,000
*salary range can change depending on the level
Due to the remote nature of this role, we are unable to provide visa sponsorship.
#LI-REMOTE
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Senior Data Scientist Iap Roas Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Senior Data Scientist to join our IAP ROAS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. Chartboost empowers developers to earn high CPMs while connecting marketers to highly engaged audiences through immersive ad experiences. The ROAS team will be in charge of designing and implementing solutions for maximizing the return on advertising spend (ROAS) for our customers.
Impact you will make:
Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Develop features in Python, SQL and Scala to improve model performance
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
3-5 years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and data jobs for model training
Experienced with Python and Scala
Hands-on experience in large scale production grade machine learning systems.
A willingness to branch out to learn new domains/ approaches and make progress independently.
The following experience would be a plus:
Ad tech and/or Mobile Game Industry
Perks:
Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely
Private health insurance
Life insurance
Optical complement for glasses or contact lenses
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Senior Data Scientist Business Intelligence | Spring Health |
Data is our most valuable asset at Spring Health. We’re continuing to grow our Business Intelligence (BI) team to ensure we can effectively use all of that data to eliminate every barrier to mental health more quickly and completely. In this role you will get to partner with two new product teams at Spring, helping them to build their approach to data largely from the ground up.
What you’ll be doing:
Act as a partner with internal teams to proactively translate their data questions into actionable dashboards that drive teams’ decisions and behavior
Develop a deep understanding of our products and operations, and how they tie into Spring Health’s business context
Contribute to the team’s overall Looker strategy, improving our design for how we organize the models and views of our data
Collaborate with the BI and data engineering teams to implement the Looker design we develop
Prioritize inbound requests from multiple teams, using business context and collaboration with stakeholders to determine the order in which to approach problems
Collaborate with teams to understand our business, help craft KPIs and then create reports to measure them
What we expect from you:
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have 5+ years of working experience working with data, data visualization, and dashboarding tools
You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate
You are an expert in SQL, and are willing to roll up your sleeves and dive into writing some modeling code in DBT when the data you need isn’t already available.
You’re comfortable using languages like R or Python to do more advanced data analysis
You have experience working with Looker or other similar data visualization tools (tableau, etc), both creating the data model and building dashboards
You focus on impact, finding the things you can deliver that deliver the most value for your stakeholders
You have exceptional communication skills, and are comfortable working independently with executive level team members
You are humble, highly motivated, and thrive in fast-paced environments
You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
You have a passion for successfully navigating ambiguous problem areas and learning new approaches
What we'd love to see (Bonus):
You don’t take no for an answer, and enjoy finding work arounds for limitations in data to get stakeholders the answers they need
You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc)
You have experience using any of the following data: EMR, clinical trials, claims data
You have operated in a role that required interaction with customers
The target salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!
Ready to do the most impactful work of your life? Learn more about our values, how we work, and how hypergrowth meets impact at Spring Health: Our Values
Hypergrowth meets impact
What to expect working here:
You will be held accountable to an exceptionally high bar and impact
This may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact
You will be challenged to set and protect your own boundaries
You will create processes & products that have never existed before
You will have very direct conversations and receive continuous feedback to push you to become the highest performer you can be
Change is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows
And…
You get to be surrounded by some of the brightest minds in the field
You get to learn and grow at an extremely accelerated pace
You will experience transparency, integrity, & humility from leadership
You will be empowered to constantly challenge the status quo
You get the space to experiment & innovate
You get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly
You will become more resourceful and resilient
You get to be part of a winning team that opens doors in the future
Benefits provided by Spring Health:
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
20 total yearly no-cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
Flexible paid time off in addition to 12 paid holidays throughout the year
$500 per year Wellness Reimbursement
Spring Health provides access to QuitGenius, a platform with technology-tailored, personalized addiction treatment plans for substance use (*QG is available to benefit-enrolled employees, spouses, and dependents age 18+)
Supporting you and your family:
4-4.5 months of fully paid parental leave
Spring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care.
Access to Joshin is provided by Spring Health. Joshin is a comprehensive support system for disabilities and neurodivergence in the workplace. This benefit supports employees, their families, and our teams through personalized navigation and disability education and training along with a network of screened in-home caregivers with disability and neurodivergent experience.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!
Employer sponsored 401(k) match of up to 2% after 90 days of employment
Creating a culture you can thrive in:
Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices
Calm Fridays: no meetings, no distractions, just time for you to get work done.
Up to $1,000 Professional Development Reimbursement per calendar year. Any requests over $250 must be requested for pre-approval prior to enrollment by sending an email to the People Team.
$200 per year donation matching to support your favorite causes
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Vice President Of Machine Learning And Data Science | Altana |
At Altana, we are bringing about a better globalization by facilitating visibility, decision support, and collaboration across global business networks. We have built a fundamental understanding of how the world’s economy works by mapping how physical goods transit and transform as they flow through the world’s business networks. These insights are based on our extensive proprietary data network across the world’s largest supply chain data corpuses, and using modern ML and data science to infer, analyze, and make sense of the physical world. We are pushing the envelope to build a foundational AI for the world’s physical economy.
We are looking for a talented machine learning and data science leader to guide initiatives across the company. As VP of Machine Learning and Data Science, you’ll be responsible for the approaches, culture, recruiting, leadership, and work product of several teams that are critical to Altana’s success. You’ll oversee the machine learning and data science components of core product features such as entity resolution for our graph construction process, information retrieval for search, recommender systems for supplier identification and vetting, customs classification and prediction, graph analyses, and reinforcement learning across our user base that includes the world’s largest customs authorities, logistics providers, enterprises, and supply chain software application providers. In this role you’ll report to the Chief Technical Officer and help create the culture and environment by which we use state of the art AI + ML.
Responsibilities
Manage a cross-functional team of talented Data Scientists, Analysts, and Machine Learning Engineers embedded in several product teams delivering core product features to users.
Direct client facing teams to ensure their data science customizations for clients are in line with long term product and ML vision (e.g. collecting right data to feedback into RLHF workflows, customizing appropriately for client specific needs, etc.).
Define Altana's data and machine learning technology standards, and oversee the training, mentorship, and performance of a world-class technology team.
Collaborate and build strong relationships with Product, Engineering, and Customer Solutions stakeholders to understand requirements and priorities.
Recruit, develop, and manage a world class team of machine learning practitioners
Contribute to a hiring process that attracts and retains world class technology talent who can push the envelope of natural language processing, machine learning, and network analysis.
Stay on the frontier of AI and machine learning research and industry developments through an active role in thought leadership, research initiatives, industry working groups, and academic relationships.
About You
Track record of success in demanding environments, especially with delivering ML enabled products and services in demanding and fast paced environments.
Deep conceptual insight into how to apply ML algorithms and distill problems down to their essence.
Strong product orientation and practical focus on delivering customer value and using techniques that deliver results; not getting stuck in academic beauty or theory.
A hands-on leader who leads from the front, and is willing to help the team deliver.
BS, MS, or PhD in Data Science, Computer Science, or related field.
10+ years of real-world professional experience building products based on Data Science & ML.
Strong working knowledge of Knowledge Graphs, Entity Resolution, Natural Language Processing, Deep Learning, Classification and inference techniques, RLHF, PPO, multi-modal learning.
Demonstrated experience leading a technical team and leveraging functional expertise to develop team members.
Strong sense of shared ownership and a collaborative disposition.
Strong written and verbal communication skills.
Nice to have, but not required
You've worked with supply chain data, company data, or have familiarity with B2B economic modeling
Multilingual skills
Technologies we love
Languages: Python, SQL
Tools: Tensorflow, XGBoost, Git, Kubernetes, Databricks, AWS, Azure
Datastores: Postgres, DataBricks, ArangoDB
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Staff Ml Research Scientist | Crisis Text Line |
Role
****PLEASE NOTE WE ARE ONLY SEEKING CANDIDATES IN SPAIN OR COLOMBIA****
As a Staff Machine Learning Research Scientist within the Research & Impact team, you will lead foundational ML/AI efforts to deliver a consistent flow of high-quality, insightful research aimed at evidencing and optimizing impact of Crisis Text Line’s service and improving practice, policy and the broader field of mental health support in the US and globally.
You will use Natural Language Processing techniques and Machine Learning models to monitor emerging trends and identify novel signals in our conversations with people in pain so that we can generate near-real-time insights with a potential to improve the lives of people in crisis. As part of a small but nimble team working in collaboration with divisions across the organization, you will research a corpus of over 260 million text messages related to mental health crises to pursue impactful research questions, build ML models to identify new themes, deliver compelling data visualization and actionable insights to amplify Crisis Text Line’s impact for texters, volunteers, and society across languages, cultures, and contexts.
Reporting to the Senior Principal Research Scientist, you will research a unique dataset of more than 8 million crisis conversations since 2013. You will work in close collaboration with all members of the Research & Impact team, as well as with cross-functional partners in data analytics, clinical, volunteer experience, user research, engineering, and product teams. An individual contributor, you will work in close collaboration with all members of the Research & Impact team to ensure equity, diversity, inclusion, and intentional visibilization of multiple identities, especially historically minoritized groups, is an explicit focus for our work.
Responsibilities:
Crisis Text Line is a fast moving, growing organization with a big vision and a critical mission. To serve our mission and vision, each role must be agile and flexible to meet the needs of the business, aligning their work with priorities as defined by their manager and team leaders.
Lead Machine Learning to Deliver New Research Insights for Crisis Text Line
Surveil internal data in combination with external datasets in order to monitor and identify emerging issues and trends in our conversations with people in crisis
Design and evaluate ML/AI models and deploy NLP techniques to study topics like mental health stressors, risk, and coping strategies in Crisis Text Line data
Fully own model pipelines, from data collection and labeling, to deployment
Communicate Results & Support Data Storytelling
Communicate and share model performance and impact in a digestible way with the rest of the team and organization
Implement new data visualization techniques
Support efforts to communicate results for non-technical audiences, including ongoing management of organization-wide internal data insights and research requests as a member of the core workflow team
Lead ML/AI Documentation and Coding Practices on the Research and Impact Team
Implement industry standard documentation and coding protocols and practices on the Research and Impact team
Provide ML, NLP and coding expertise and core reviews across the Research and Impact portfolio, and corresponding mentorship of members of the team in their use of technological tools
Support the development or review of all external-facing content referencing Crisis Text Line data and insights, as appropriate
Functional/ Technical Skills
Qualifications:
6+ years of combined training and experience in computational social science, natural language processing, computer science, or related disciplines
Theoretical and practical understanding of ML/AI models both for structured and unstructured data
Proficiency in SQL and Python and the relevant ML libraries (Preferred: understanding of distributed computing frameworks e.g. Spark)
Ability to write clean and modular code and work with version control tools.
Strong understanding of NLP techniques (text parsing, lemmatization, tf-idf, topic modeling, etc.) and the associated ML/AI models
Skills in translating research results into non-technical insights for broad consumption
Salary Range: $126,000 - $178,000This range is provided by Crisis Text Line. Your actual pay will be based on your skills, experience, location, and applicable law (such as local minimum wage laws). We pay competitively in the tech-forward nonprofit space and offer a robust benefits package.
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Senior Applied Scientist Ii Search Ranking | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
We are looking for an experienced Applied Machine Learning Scientist in the Search Ranking team to help understand buyer shopping missions, personalize content, and rank the most relevant search results to our buyers on search pages. As an Applied Scientist, you will work closely with software engineers to build custom large-scale machine-learning models powered in production to deliver customer impact. We are individuals who are data driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Natural Language Processing, Deep Learning, Reinforcement Learning to improve the Etsy search experience!
This is a full-time position working with the Engineering Manager, Search Ranking, and the base salary range will be $184,000 - $205,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the US who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What’s this team like at Etsy?
Our team of applied scientists, ML engineers, data analysts, and product managers work as a multi-functional team in a primarily remote setting to build, improve and maintain online search ranking systems that can drive customer impact in Etsy.
Design, develop and maintain of large scale, performant machine learning systemsResearch and implement novel ML models to improve relevance and personalization in search resultsInfluence product roadmap using data backed analysisMentor junior scientists on the team
What does the day-to-day look like?
Find opportunities to improve our buyers’ search experience and propose a project plan backed up with data analysisScope data-driven projects and collaborate with internal & external teammates from Data, Modeling and ML Infrastructure.Iterate quickly to design, implement, optimize, and test new modeling improvements in both offline and production A/B experiment settings.Draw conclusions from experiment resultsLead high code quality and engineering standards in the team; Maintain and improve core ML pipelineOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
You are a caring teammate who enjoys helping others. Your growth mindset means you find joy in continuous learning and self-improvement. You care about how ML impacts real people. It also helps if you have:
3+ years of experience in areas related to Search, Recommendation Systems, Personalization, and Applied ML.A previous track record of publications in one of the following fields: information retrieval, recommendation systems, knowledge graphs, natural language processing.Proficiency in writing high quality production code, demonstrating strong software engineering and coding skillsProficiency in neural ML frameworks such as Tensorflow, PyTorchExperience with web-scale data preprocessing and ML workflow such as Apache Spark, Beam, Kubeflow Pipelines etcExperience working with cloud computing services such as Google Cloud PlatformA product focus and passion for using machine learning to address real-world problems. Knowledge of various machine learning techniques and key parameters that affect their performanceStrong verbal and written communications skills and comfort working in a remote team with a strong Slack and Google Docs.Self-directed, flexible, and strong sense of ownership.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume
with us and feel free to include a cover letter if you'd like. As we hope
you've seen already, Etsy is a place that values individuality and variety.
We don't want you to be like everyone else -- we want you to be like you!
So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers
relevance, resilience, and longevity. We encourage people from all backgrounds,
ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity
workplace and is an affirmative action employer. We are committed to equal employment
opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual
orientation, age, citizenship, marital status, disability, gender identity or Veteran
status. If, due to a disability, you need an accommodation during any part of the
interview process, please let your recruiter know. While Etsy supports visa
sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones
within the location header of each job description. We're open to remote hires from all
U.S. states except Hawaii and Alaska.
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Director I Data Science | Liberty Mutual |
Help shape the future of Data Science across Liberty!
As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.
The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques. We work on some of the most exciting projects across all of Liberty. If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond
Detect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV)
Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practices
Explore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ data
Engage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI
Responsibilities:
Setting the scientific strategy for many of our initiatives
Working cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners.
Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
Drives innovation in the application and development of tools and practices.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Responsible for larger components of highly complex projects.
Guides aspects of project design as a technical expert for the team.
Regularly engages with the data science community and leads cross functional working groups.
The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level
Job Specifications:
Reference: 2023-54927
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$154,000.00-–-$216,000.00-/-Year
Education Level:
Travel: As Needed
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Senior Data Scientist Product | Ramp |
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. In this role, you will help define the product and operational roadmaps for how Ramp users onboard and activate. You will partner closely in Ramp’s development process through product ideation, experimental design, implementation, execution, and analysis. You will partner closely with Ramp’s operational teams to improve internal processes, build playbooks, and recommend actions. Ultimately, we will depend on you to improve the Ramp customer journey by leveraging your advanced analytics skills and business context, enabling us to get 1% better every day.
What You’ll Do
Develop Ramp’s product research and experimentation frameworks, from hypothesis development and experimental design to implementation and analysis
Contribute to Ramp’s product roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage advanced statistical approaches to solve customer problems, and perform deep analysis against large and complex product data sets
Partner with cross-functional product, engineering, and design teams to influence decision making across Ramp
Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
What You Need
Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist
Strong python experience (numpy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to business problems
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
Proven leadership and a track record of shipping improvements with growth and product organizations
Strong perspective on the experimentation lifecycle (hypothesis generation, experimental design, implementation, analysis, A/B testing best practices)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Nice to Haves
Experience at a high-growth startup
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Compensation
The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)
Ramp Benefits (for U.S. based employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match)
Please note only 401k contributions made while employed by Ramp are eligible for an employer match
Unlimited PTO
Fertility HRA Up to $5,000 per year
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support
Pet insurance
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Senior Data Scientist Product Analytics | Coalition |
About the Role
As Senior Data Scientist, Product Analytics at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s largest revenue channel. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber insurance customer experience in order to grow our revenue in a safe and efficient manner. This role requires an ability to partner with our head of revenue and other key stakeholders to quickly identify emerging trends in our customer data and effectively communicate clear, actionable strategies across the company.
Responsibilities
Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic operational decisions and uncover optimization opportunities.
Influence product leadership & make our operations more efficient with data-backed recommendations, tracking OKRs etc
Ability to understand, measure, and empathize with the customer’s end to end journey
Ability to use data to identify gaps/problems in our customer’s journey and propose potential solutions.
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions.
Ability to analyze disparate data sources and synthesize into a narrative of what is happening in the data
Training/mentorship of junior employees.
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization.
Skills and Qualifications
A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background
Demonstrated experience influencing partners in product, operations etc
Expert SQL proficiency with proven competencies in designing well-architected data models, optimizing for query performance, and clearly documenting code
Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
Work in Tableau, Looker, or similar visualization / business intelligence platform
Experience with DBT, Airflow or similar analytics workflow tools a big plus
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!
Bonus Points
Experience with operational tools and business systems such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora a big plus
Experience as a Programmer - Python, R, Perl, Java, and/or C++
Perks
100% medical, dental and vision coverage
Flexible PTO policy
Annual home office stipend and WeWork access
Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
Competitive compensation and opportunity for advancement
Coalition’s individual pay is determined on several factors, including but not limited to, location, level, skills and experience. The US base salary range for this full-time position is $125,000 - $205,000, and your recruiter can share more on target salary for your location during the interview process.
#LI-Remote
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Senior Research Data Scientist | Coalition |
About the role
As Senior Research Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s usage of data for cyberinsurance. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner.
Responsibilities
Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic operational decisions and uncover optimization opportunities
Analysis of large scale data for creation of risk signals to be used for insurance pricing and risk selection
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions
Ability to analyze disparate data sources and synthesize into a narrative of what is happening in the data
Training/mentorship of junior employees
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization
About You
A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background
Understanding of and experience with experimental design and statistical methods
Experience working with data in Python, R and similar tools
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!
Bonus Points
Experience with cybersecurity data
Exposure to causal inference, and other advanced statistical methods to measure impact of initiatives
Perks
100% medical, dental and vision coverage
Flexible PTO policy
Annual home office stipend and WeWork access
Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
Competitive compensation and opportunity for advancement
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Principal Data Scientist | Overstory |
About the role
We are looking for a Principal Data Scientist who is a creative, but pragmatic, problem-solver. Reporting into VP Engineering you will be the most senior Data Scientist on the team. You’ll spend most of your time working autonomously or within a small team, building, improving, and running our models. You will work closely with the CTO setting, planning, and executing the long-term vision for our ML platform.
This is a hands-on role that will involve exploring satellite imagery sets and other geographical datasets; using machine learning to analyze the images; and working with the teams to deliver the results to our customers. We have models and pipelines at various stages of maturity and we would expect you to use and apply the results of the stable ones and help us improve and validate the ones still in early development. You will work with the team to implement new ML techniques, models, and algorithms that bring step changes to our analyses.
Big part of the role is using the outputs of our analyses to solve customer needs. You will work closely with our Customer Success team to understand the customers’ problems and then work with other Data Scientists and the rest of the tech team to come up with solutions to those problems. You will help us adapt our models to different customer needs, but also environmental and vegetative factors.
On a typical day you could be: running inference on satellite imagery, checking the quality of the output, tweaking the input parameters, and retraining the model with new labels; writing Python code to process and analyze GIS data; researching and incorporating new datasets into your project and sharing findings with the team; reading about the latest Deep Learning techniques and applying them to our datasets.
You will have responsibility for your own projects, and we’ll expect you to take initiative to help us improve overall. Whether the work is about forest damage detection, tree species identification or biodiversity monitoring, you are up for the challenge!
About you
You are creative and curious.
You are pragmatic, you know when a simple solution is sufficient or when new model development is required.
You are a strong communicator, able to express your ideas succinctly. You make complex ideas accessible to others.
You have an eye for quality, your work is thorough, and you pay attention to both the small details and the larger picture.
Teamwork is at your core, and you like to help others grow and succeed.
Requirements
You have at least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer.
You have spent at least 3 years working in a startup environment (preferably early stage).
You have advanced Python experience (including PyTorch and/or Tensorflow).
Experience working with GIS systems and processing GIS data.
Experience processing satellite data and/or imagery.
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Machine Learning Research Team Lead | Runway |
About the role 🎉
We’re looking for a Research Team Lead to lead a group of Runway's Applied ML Research team. This person will be leading and driving the executions for new applied research projects. This person should have a strong research background in computer vision, and be deeply interested in managing and enabling other researchers to develop state-of-the-art research.
This is a cross-functional role that requires strong communication and collaboration skills; you will have a chance to work with the rest of the engineering organization to oversee the transition from research into production, as well as with the Product team to initiate and work on projects that deliver clear user value.
What you’ll do 🎨
Lead and grow a group of Runway’s applied machine learning research team
Coordinate with the product team and the rest of the engineering team to define goals for your team that are aligned with overall company initiatives
Write tooling and prototypes to unblock and increase the productivity of other researchers
Work with a world-class engineering & research team pushing the boundaries of content creation on the browser
What you’ll need 💻
4+ years of industry experience as a research scientist in computer vision
High emotional intelligence and experience mentoring other researchers
Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
Experience in translating product and business objectives into technical strategies
Deep interest in productionizing state of the art ML research
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Salary range: $190,000-$230,000
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Data Scientist | Level |
What You'll Do:
Identify and scope product challenges that are ripe for data science and machine learning solutions - transaction understanding and categorization, merchant classification.
Work cross-functionally to collect data, develop and train machine learning models, and integrate those models into realtime and offline production systems.
Build the infrastructure that allows us to scale by optimizing data science workflows and ensuring data quality standards.
Who You Are:
5+ years of industry experience in relevant roles such as data scientist, machine learning engineer, or software engineer.
You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
Prior experience building production software systems, especially realtime machine learning systems.
Prior experience building machine learning solutions for payment and receipt processing automations
Our Technologies:
These are some of the technologies we use today. You don’t need to be familiar with all of these—many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with.
Golang
Python
Google Cloud Platform (GCP)
Amazon Web Services (AWS)
Kubernetes
Protobuf / gRPC
ElasticSearch
What We Offer:
Competitive salary and equity
Remote first, with an office in NYC as an option to come in
100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents
Flexible paid time off: take the time you need when you need it! Plus, get up to 10 days of paid sick leave per year
Fully paid parental leave: up to 14 weeks for primary and 8 weeks for secondary caregivers
Food, wellness, and office funds via our own Level product
Quarterly company sponsored events
Internal learning and development programs
Have the chance to work at a leading innovator and trailblazer in the world of benefits and payments
This position has a minimum base salary of $170,000 and a midpoint base salary of $185,000. The base pay may vary depending on job-related knowledge, skills, and experience. In addition to a competitive base salary this position is also eligible for equity awards.
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Staff Data Scientist Ads Measurement Ml | Reddit |
Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
We are looking for a Senior Machine Learning Data Scientist to work with our Ads Measurement product team. You will partner closely with a cross-functional team of Engineers, Product Managers, Designers, etc. 1) to build ad measurement solutions so that advertisers can measure and optimize their Return on Ad Spend (ROAS), and 2) to shape the product roadmap and strategy. In addition to a solid technical background, you will have strong business acumen, and excellent cross-functional stakeholders management skills.
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We have spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a Machine Learning Data Scientist on the Ads Data team, you’ll be a key player in ensuring we design the right mechanisms to adapt to a changing privacy landscape, play with the large datasets from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and thousands of advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:
Build machine learning models to improve ML focused Ads Measurement products such as Modeled Conversions, and Identity Resolution.
You will design metrics and mechanisms to understand and evaluate the performance of various Measurement products.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, product/feature analyses and data deep dives), along with working on ETLs and data aggregations needed for training, testing and productionizing models.
Serve as a thought-partner for Product Managers, Engineers, and Leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
Required Qualifications:
Relevant experiences in the Ads domain or marketing attribution
Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Computer Science,, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor’s degree, a minimum of 2+ years of industry data science experience)
Proficiency in at least one of the areas: conversion modeling, clustering algorithms, large scale unsupervised learning
Experience with online experimentation and causal inference
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Strong analytical and communication skills
Strong skills in programming (Python or R) and SQL
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: $198,200 - $297,300.
#LI-Remote
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Data Scientist Marketing Intern | Gametime |
About Us:
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the new, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.
With platforms on iOS, Android, mobile web and desktop supporting more than 25,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.
Position:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data and marketing teams. As a Data Scientist Intern, you will support and inform various functions to solve business-critical issues, specifically related to our Marketing and Growth efforts. The ideal candidate will be able to thrive in a fast-paced environment and will be able to adapt to changes within the business and the industry.
What you'll dod / own:
Identify marketing analytical needs, build/execute analytics, and report findings to functional partners across marketing (PR, CRM, Product Marketing, Performance/Acquisition, etc.)
Provide insight into critical business decisions, working closely with the marketing team to answer pressing issuesLeverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally
A little more about you:
Entering your junior year of undergraduate studies or in a masters or PHD program
Proficient in SQLExperience with A/B testing a plus
Basic knowledge of the types of marketing campaigns and channels
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Strong problem-solving skills
Some experience with Python or R
Experience with a data visualization software
$25 - $35 an hour
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.
Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
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Senior Data Scientist Data Products | Ramp |
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.
About the Role
We believe that data science & machine learning are fundamental to building the finance automation platform of the future. We are looking for someone to lead the design and build of algorithmic services used in our core product.
Some early opportunities include:
Matching receipts to transactions so no one ever has to fill out an expense report again
Predicting if a transaction is part of a trip to ensure spend is within policy
Recommending suggestions to automate user experiences across the platform
You’ll be responsible for end-to-end development of machine learning products—this includes building training and evaluation workflows, owning deployed services and contributing to the design of products that rely on those models. You will need to have a head for strategy & cross-functional collaboration and thrive partnering closely with engineering & product teams to prioritize, execute, and drive results. You will also partner closely with the rest of the data org to design, implement, and maintain data science services in production.
What You’ll Do
Design, implement, and monitor machine learning systems enabling automation and delight to save customers time and money throughout Ramp’s product
Full stack data science development: from upstream data modeling and cleaning to research and prototyping to designing experiments to deploying, monitoring and iterating on models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive results
Manage the upstream and downstream relationships and SLAs with frequent data science collaborators: analytics engineering, data platform and core engineering, as well as third party vendors and software providers
Lead solutions on challenging data science problems around unstructured data, labeling & annotations, and human-in-the-loop systems & processes
What You Need
Bachelor’s degree or above in a quantitative field with a minimum of 3 years of industry experience as a Data Scientist, Research Scientist, Machine Learning Engineer, or equivalent
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery), experience working with large datasets in Python
Ability to build standalone data science products/services and to work cross-functionally to deploy and monitor in production
Desire to collaborate with stakeholders to design and integrate data into Ramp’s product
Experience with designing and building realtime ML systems in production applications and at scale
Ability to thrive in a fast-paced environment with a desire to constantly improve that focuses on solving problems with iterative technical solutions
Nice to Haves
Experience with information retrieval, recommender systems or generative models
Strong perspective on data science development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with MLOps/infra required to support data science product solutions, experience with orchestrators and artifact management - i.e. Metaflow, MLflow or equivalent
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Compensation
The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)
Ramp Benefits (for U.S. based employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match)
Please note only 401k contributions made while employed by Ramp are eligible for an employer match
Unlimited PTO
Fertility HRA Up to $5,000 per year
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support
Pet insurance
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Senior Data Scientist Marketplace | Veho |
About Veho
Veho's mission is to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.
For too long, parcel delivery companies have focused solely on efficiencies and cost-management. Veho focuses on the end-customer. As the first technology company of its kind, Veho replaces the old delivery trucks with a platform of crowdsourced drivers and a network of hyper-local delivery stations. We partner with some of the most recognized consumer brands such as Warby Parker and Hello Fresh to provide an incredible experience with every delivery, and give customers control on how, when and where their package is delivered.
Customers LOVE us. Despite growing at a record-speed over the past two years, we maintain an incredibly high customer satisfaction rating of 4.9/5 stars, and an unprecedented on-time delivery rate of 99.9% - far above every other company in the country.
In short, we are building the logistics platform of the future.
Veho is backed by former top executives and board members at Uber, FedEx, UPS, eBay and Amazon, three former public company CEOs, early investors in Lyft and Instacart, as well as prominent venture capital firms General Catalyst, Tiger Global, and Softbank. We are a team of leaders who are passionate about building an incredible company that will change the face of this industry.
As a Senior Data Scientist, you’ll be directly embedded in a team of talented software engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting edge technology. You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho. Your work in forecasting and route optimization will have broad organizational impact.
You're responsible for:
Understanding business context and gathering requirements
Building and iterating on models to meet requirements using Python
Building and iterating on data pipelines to feed analysis and productionized models
Integrating models into production systems using MLOps best practices
Ensuring data quality and data integrity through best practices in data integration
Analyzing impact and effectiveness of models in production systems
You bring:
Bachelor’s Degree plus at least 3 years of experience in data science or data engineering
Experience using statistical modeling or machine learning techniques to solve business problems
Strong SQL and Python skills
At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 1 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
At least 1 year of experience working with cloud-based data engineering and data science tools.
Experience with mlops is nice to have, but not required
Experience with vehicle routing problems or logistics is nice to have, but not required
$150,000 - $170,000 a year
The actual salary is dependent upon many factors, such as: education, experience, and skills. The pay range is subject to the discretion of the Company.
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.
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Data Scientist | Zartico |
Meet Zartico, the world’s first Destination Operating System.
Zartico’s mission is to empower DMOs to be better stewards of the world’s tourist destinations through improved data intelligence and decision-making. Makers of the first Destination Operating System, Zartico harnesses and streamlines complex data to provide a full-spectrum of data science, benchmarking and analytical services for use in marketing, community development and sustainability efforts. Based in Salt Lake City, Utah, Zartico has over thirty years of experience in technology, tourism, and destination, travel and tourism marketing.
Zartico is looking to add a Data Scientist to the team. In this role, you will be designing and developing new tools, architecture, and models to flexibly extract actionable information from large, complex data sets. To be successful in this role, you will need a strong background in mathematical and statistical reasoning, comfortability programming (SQL and Python required), experience designing, evaluating and testing models with/on complex data sets, and an ability to problem solve effectively in ambiguous settings.
What You’ll Do:
Develop and deploy new methods to clean, evaluate, and aggregate large, complex data sets in a flexible, modularized way.Routinely engage in best-practices of documentation.Develop new models for forecasting, anomaly detection, and classification problems with large data sets. Help translate new software product features into clearly defined data science problems well-suited to the specific limitations of the raw data and the technical infrastructure. Work closely with various departments to test and implement data science models and tools at-scale.
What you’ll bring:
5+ years of experience in data science, statistics, mathematical modeling, and/or machine learning (postgraduate research may count towards this experience depending on relevance). Proficiency in SQL and Python, and general programming mastery. Comprehensive understanding of basic statistical and/or machine learning models. A successful history of manipulating, processing and extracting value from large disconnected datasets. Self-directed and adaptable, with excellent problem-solving skills. The capacity to communicate one’s technical work on multiple levels, including to non-technical audiences. Experience creating detailed documentation around one’s models and/or code. Experience creating customized mathematical models and algorithms from scratch. Deep knowledge of fundamental principles of machine learning.
Education and Certifications:
PhD in a quantitative field, with a preference for Mathematics, Astrophysics and Physics (strong mathematical focus required)
Why Zartico?
We believe in a growth mindset. We are a learning organization. We emphasize focus because we know that to achieve big dreams, you have to execute and get the small stuff right. We lead with inclusion and value diversity. We believe in diversity of thought, perspective, and experience. Diversity of experience and perspectives creates a more robust product and more beautiful world. We dream in color and code. We hustle. We are humble and know that the sum of our parts is greater than any one of us as individuals. Above all else, we do the right thing. We believe in transparency, honesty and integrity.
We believe travel and tourism is a force for good because it builds connection, understanding, and appreciation of our world’s cultures, history and natural resources. We believe data and the right metrics allow us to make better decisions because transparent data helps focus on the right issues, problems and therefore, solutions, to be better stewards of our world's most precious destinations.
We’re building a global community—one that’s safe for people of all backgrounds. We are an equal opportunity employer where our diversity and inclusion are central pillars to our company strategy. We look for applicants who understand, embrace and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. When you join our team, you join the Zartico family.
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Modeling And Machine Learning Scientist Lead Model Risk And Governance | Usaa |
Why USAA?
Let’s do something that really matters.
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!
We are seeking a dedicated Modeling and Machine Learning Analyst Lead for 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.
The Opportunity
What you'll do:
The Model Risk and Governance Lead will play a central role in creating and maintaining the USAA Bank Risk Governance framework for models consistent with business and regulatory requirements. Assist the Bank Model Governance Committee in meeting model risk oversight requirements. Collaborate with senior management and colleagues in business and staff functions, independent risk management, legal and compliance in leading the annual process to revise model risk policies, procedures, and standards. Perform subject matter authority reviews of models to ensure they meet model risk management requirements. Handle monitoring of model risk policy requirements and related metrics and escalate breaches. Design and deliver training to partners on policies, procedures, standards, and systems.
Leads the development, review, and / or implementation of entire model lifecycle. Leverages advanced modeling and machine learning techniques to solve important business problems. Communicates insights and business impact of model-based solutions to partners. Keeps models well managed and aligned with USAA model risk policy and regulatory expectations. Builds tools or capabilities for the future by researching powerful new data sources, latest algorithms or standard processes in model risk.
Identifies and leads existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leads development and/ or review of entire lifecycle of the modeling and machine learning project, leads projects, serves as a subject matter authority, and as a mentor to others.Partners with business leaders to identify needs for model-based solutions, assists in developing business requirements for model development and measures for success.Communicates modeling insights to technical and non-technical audiences and senior partners across the organization.Uses modeling and machine techniques such as linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, various simulation methods, or other advanced techniques to solve important business problems.Partners with business and data teams to conceptualize, obtain and / or review powerful and high-quality data features for modeling and machine learning.Demonstrates broad technology stack that includes Python, R, or SAS to develop or evaluate modeling or machine learning solution.Builds for future by conducting research on latest machine learning techniques, large-scale computing, automation or standard processes in model risk. Educates modeling and data science community across organization on findings.Mentors and provides consultation to team members and peers. Leads and guides team members in model data, model development, techniques, and methods. Coaches and shares findings on machine learning and application to enterprise models.Maintains, builds, or reviews automation tools and repeatable code base, crafted to promote reproducible research, and to reduce operational risks and costs to the organization.Builds or reviews model-based solutions and accompanying technical documentation consistent with regulatory requirements, working with other lines of defense as needed.Leads and/or reviews development and automation of performance supervising tools to maintain modeling and machine learning solutions.
What you have:
Bachelor's degree in a quantitative field, such as Mathematics, Statistics, Data Science, Computer Science, or a related quantitative STEM field (Science, Technology, Engineering, and Math). Four additional years of related quantitative subject area experience beyond the minimum required may be substituted in lieu of a bachelor's degree.8 years in predictive modeling, model governance, machine learning or large data analysis. OR Advanced Degree (e.g., Master’s, PhD) in quantitative field, such as Mathematics, Statistics, Data Science, Computer Science, OR a Related quantitative STEM field (Science, Technology, Engineering, and Math) and 6 years of related work experience in predictive modeling, model governance, machine learning or large data analysis.Expert in developing or reviewing modeling solutions based on broad range of modeling and machine learning techniques – e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.Demonstrated ability to apply standard processes in using modeling and machine learning techniques to proactively identify and solve business problems.Expert in developing or reviewing modeling solutions based on Python, R, SAS or other technology stack.Proven ability to write and edit complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
What sets you apart:
The ideal candidate will have a validated ability to build and maintain a control, governance, or oversight framework and ability to gain consensus by resolving input from diverse partnersStrong understanding of Bank regulatory requirements for modeling and model risk management lifecycle and processesExperience analyzing complex quantitative models and the risks and controls around their usage, including artificial intelligence and machine learning modelsAbility to clearly communicate and present ideas and concepts with senior leadership and other partnersStrong critical thinking and problem-solving skills
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: $ 115,240.00 - $ 220,270.00.
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.
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Data Scientist | Patrick J Mcgovern Foundation |
The Patrick J. McGovern Foundation (PJMF) is a private foundation dedicated to advancing artificial intelligence and data science solutions to create a thriving, equitable, and sustainable future for all. PJMF works in partnership with public, private and social institutions to drive progress on our most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector.
For more information, please visit our website at https://www.mcgovern.org/. Core to PJMF’s mission is inclusion, diversity, equity, and accessibility (IDEA). We apply the IDEA framework to all we do, from growing a diverse team within the foundation to coalition building with organizations and people around the world, and to democratizing the development and rewards of AI and data.
The Patrick J McGovern Foundation (PJMF) is seeking an experienced, multi-faceted and self-driven Data Scientist. This role sits within the Data Solutions team and will be directly engaged with the development, deployment and maintenance of AI products that will drive positive social impact around the world. The charter of the Data Solutions team is to identify, develop and deploy strategic data and AI solutions, focused on unlocking opportunities and addressing broad challenges the social good sector is facing now, and in the near future. The Data Scientist is responsible for training, validating, and deploying AI models using a rapid prototyping methodology. We are a small, high performance team and in many ways function as a startup. As such, the ideal candidate will be someone who can also manage some elements of the data engineering and MLOps roles that you would typically find in larger teams.
How you will make an impact:
Work closely with the Technical Product Manager, along with partners and end-users, to understand their challenges in order to build an effective and safe AI product
Identify, ingest, preprocess and clean the appropriate datasets needed for model training
Training, validation, and deployment of a model that addresses a specific social sector challenge
Monitor and maintain model performance, scalability and security
Seek out potential harm the data and AI product can cause (training/prediction bias, privacy violations, grossly inaccurate predictions, etc) and work to address those harms
Employ rapid prototyping techniques to quickly develop and iterate on AI product deployment and fast integration of end-user feedback loop
Integrate necessary data technologies, platforms, tools, and 3rd party tools needed for product deployment and functionality
Ensure AI product performs as intended and expected by end-users
Ensure appropriate maintenance, bug fix and feature requests are resolved
Create appropriate system diagrams and documentation, including model explainability
What you will need to succeed:
Experience - Demonstrated experience in training, development and deployment of supervised and unsupervised machine learning, deep learning algorithms and applied AI. Strong understanding and experience in analytical and statistical modeling and methods. MLOps experience in deploying and maintaining models is a plus.
Technologies - Strong experience with Python/R programming, cloud services and infrastructure, containerization and orchestration tools. Experience with CI/CD, software bug tracking and feature request management, using tools like Jenkins, Jira, GitHub, etc.
Learning - Our data and AI products can span a range of applied AI focus areas. From NLP-based solutions to image recognition and processing, the applications are essentially unrestricted. Hence, this role will require an individual with an appetite for (quickly) learning and applying the various techniques needed to address the specific focus area
Communication - Ability to communicate effectively with cross-functional teams, engineers, partners and end-users. Excellent written and verbal communication skills to technical and non-technical audiences. Excellent technical writing and documentation skills
Teamwork - Effective team player who understands the responsibility every individual brings to the table and how to encourage and drive results from each team member
High Performance - Ability to quickly learn new technologies and methodologies to ensure successful and timely completion of product development
Results-oriented - Highly organized and detail-oriented, self-driven and able to adapt to learning and implementing new technologies, and creative in solving issues as they arise
Cultural alignment - An advocate for social progress; interest in emerging technologies and their ability to advance societal outcomes
What we offer:
Compensation – Anticipated starting salary range of $110,000-$140,000, with flexibility based on experience
Health Coverage – Foundation-paid medical, dental, and vision insurance for employees, spouses/domestic partners, and dependents. HSA/FSA plans, life insurance, and short- and long-term disability coverage
Long-term Rewards – 401(k) retirement plan with generous matching up to 6% of annual pay, plus an additional discretionary match at the end of year
Flexible PTO – Unlimited paid time off, which allows team members to take the time they need for vacation or illness so they can return to work able to contribute fully to our mission. The foundation recognizes 11 paid national holidays per year and may also announce closure for local, regional, or state holidays
Remote Work Environment - Ability to work 100% remotely, but not alone - with mature, socially minded professionals
Wellness Support – Access to Ginger, Gympass, Headspace, and SmartSpend Plus, along with financial well-being providers
Parental Leave – Up to 6 months of gender-neutral paid leave for parents and caregivers when they have a new addition to their families
Learning Reimbursements – Foundation policy encouraging employees to explore development opportunities such as peer learning, internal trainings, and external activities; savings on student loans (available via insurance provider)
Philanthropic Gift Matching – opportunity for team members to support vulnerable communities, reflecting PJMF’s commitment to social impact
The attributes listed above represent our current thinking for the role. You can be a great candidate even if you don't fit everything we've described below. You can also have important skills we haven't thought of. If that's you - even if you’re on the fence - we encourage you to apply and tell us about yourself!
We have built an environment that celebrates the differences in backgrounds and experiences. PJMF invests in activities that lead to greater inclusion, diversity, equity, and accessibility in how AI and data are conceptualized, developed, applied, and deployed. We are applying the same framework as our team grows and expands. We are an equal opportunity employer and we especially encourage and invite members of traditionally underrepresented communities to apply.
All PJMF team members must be fully vaccinated against COVID-19.
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Principal Data Scientist Ml | Shutterfly |
Description
At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.
The Shutterfly Personalization Data Sciences Team is recruiting a Principal Data Scientist as thought leader within a broad array of machine learning applications: from developing computer vision models on billions of images to implementing cutting edge product and content recommendation engines while working with a best-in-class ML ops platform. Our growing team of data scientists and engineers will provide you with the opportunity to work with virtually every form of customer purchase and engagement data, applying state of the art techniques for customer personalization.
What You'll Do Here:
Work with stakeholders to define objectives and measure success, establish KPIs and measurement methodologiesProvide expertise to non-analytical peers within Marketing, Product and EngineeringDevelop experimental designs to support test and learnApply advanced knowledge of SQL and the ability to extract and develop complex modeling features through our MLops platform and feature storeSize the impact of the models on key business measuresBuild machine learning models using Python which can recommend optimal product, offer, content and information.Provide actionable insights to drive key decisions across the marketing organization using a range of analytical/statistical techniques from descriptive analysis to predictive/explanatory modelsBe a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems
The Skills You'll Bring:
MS or Ph.D. or equivalent experience in a quantitative field such as computer or data science, economics, applied statistics or life sciences5+ years of experience in developing and deploying machine learning and deep learning models in a professional settingKnowledgeable about recent advancement in the field and possess a strong research mindsetDomains of expertise should include at least one of the following: collaborative filtering, content-based recommender systems, link-click prediction, NLP for information retrieval, computer vision or predictive customer targeting.Experience with deep learning frameworks such as Tensorflow, Keras and/or Pytorch and developing statistical studies in Python/JupyterExperience with MLops tools and platforms such as MLflow, Sagemaker and DataBricksAdvanced SQL skillsPractical experience with distributed data platforms: Map/Reduce, Hadoop, SPARKUsage of cloud compute solutions, eg. AWS, GCS or AzureExperience with version control systems such as GithubHands-on experience with Unix and shell scripting
Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. Learn more about our commitment to Diversity, Equity and Inclusion at Shutterfly DE&I.The compensation package for this role is based on multiple factors, such as job level, responsibilities, location, and candidate experience. The base pay ranges included below are specific to the locations listed and may not be applicable to other locations. California: [$138,100 -$197,250] Connecticut, New York, and Rhode Island: [$138,100 - $179,100] Colorado and Washington: [$138,100 - $165,600] Nevada: [$129,800-$179, 100] This position may be eligible for a bonus incentive, health benefits, a 401K program, and other employee perks. More details about our company benefits can be found at https://shutterflyinc.com/benefits/. #SFLYTechnology
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Senior Data Scientist Inference People Analytics | Airbnb |
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The People Analytics team is looking for an experienced Data Scientist to lead and/or contribute to some of our key projects, such as survey analysis (employee listening); how to hire, promote, and retain a demographically diverse workforce; and how to maintain fairness in key company processes. The role is highly cross-functional, and you will work with Talent Leaders, Legal, Diversity and Belonging, and other core people-oriented teams. We need a Data Scientist with a proven track record in translating data to insights and action.
The Difference You Will Make:
People Analytics is a strong team of Data Scientists and Researchers. Our work is highly sought-after, and our impact on the business is tremendous. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.
A Typical Day:
Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze
Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as hiring, promotion, productivity, attrition, employee engagement, and workplace diversity, among others
Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with leaders across the business
Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders
Leverage academic expertise and knowledge of people analytics trends to address practical business challenges
Exercise traits of adaptability and good judgment to support organizational agility
Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb
Your Expertise:
5+ years in industry experience and a Master's degree/PhD in a quantitative field
Experience in research design and advanced statistical analysis (experimentation and quasi-experimental methods)
Ability to conduct statistical analysis using R or Python
Ability to access databases via SQL
Knowledge of and experience in survey design and analysis
Experience interpreting survey data and using it to drive decisions
Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
Understanding of the external people analytics landscape and trends
Experience working with large practical datasets
How We'll Take Care of You:
Our job titles may span more than one career level. The starting base pay for this role is between $152,000 and $203,500. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb,Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: [email protected].
Apply now
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Lead Data Scientist Healthcare Product Innovation Mlops | Cvs Health |
Job DescriptionAbout Our TeamCombining CVS Health and Aetna was a ground-breaking moment for our company and our industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans and community pharmacists, we’re pioneering a bold new approach to total health.Within the data science department (“Analytics & Behavior Change”), you will have the opportunity to work on new data-driven population health approaches that will help millions of individuals across the country to stay healthy and become healthier. As part of our payor-agnostic product team within “Analytics & Behavior Change”, you will drive the development of innovative patient outreach campaigns for B2B sale from product conception through product launch and management.About the JobThis is a hands-on lead role responsible for driving the development of a new data-driven population health product in the Medicare health tech space. You will collaborate with our business partners on scoping the product vision and lead a team of 5+ data scientists and data engineers to build, deploy, optimize, and grow the new product. At its core, the product will combine a diagnostic tool to identify potential gaps in medical care with orchestrated multi-channel patient outreach to promote targeted health interventions.Key responsibilities are focused around the technical development and management of the product:• Lead collaboration with business and technical stakeholders to design the product.• Use strong knowledge in algorithms and predictive models to build and optimize diagnostic tool and patient outreach orchestration.• Collaborate with large teams on data pipeline and model development, deployment, and monitoring.• Communicate technical content in presentations to business partners and/or leadership teams.• Lead and mentor team of 5+ data scientists and data engineers and drive MLE excellence across the team.
Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 5+ years of experience in Python and SQL• 3+ years of experience developing and implementing data-driven products for business consumption in a technical role• 2+ years of experience building data pipelines
Preferred Qualifications• Colleagues in similar roles often have an MS in Computer Science, other engineering discipline, another engineering discipline, or another computer-oriented field (physics, applied math, chemistry, etc.)• Hands-on experience in Python and SQL writing application/software-grade code• Hands-on experience with cloud platforms and deploying models• Experience leading a technical team in an agile environment• Experience with health data• Passion for developing solutions that improve health outcomes
EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Master’s degree or PhD preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Data Scientist Care Management Analytics | Cvs Health |
Job DescriptionDo you want to use your analytical abilities to make an impact on the healthcare of others? Join CVS Health as a Care Management Analytics Data Scientist, where you will implement analytic reporting & technology as it relates to contractual analytic reporting needs, program value evaluation, issue resolution, capabilities and stabilization. Here, you will be a part of a growing, high impact team that support various care management analytic activities as an individual contributor.Additionally, you will:– Run reconciliation report and build stories for outcomes and delivery team. Develop outcome reporting, analytics and interactive Tableau dashboards. Evaluate program performance, identify opportunities, and uncover areas for program improvement. Use the information learned to provide recommendations and solutions to business partners.– Perform analyses of structured and unstructured data to inform advanced statistical and mathematical analyses– Use data visualization tools and techniques to effectively and efficiently communicate analytic findings to support business decisions and client reporting needs– Explore, understand, and interpret sophisticated data environments, applying tools such as machine learning and natural language processing to analyze petabytes of data– Recommend solutions to drive successful outcomes and build a data driven story of value, engage with stakeholders to obtain a true understanding of requirements to support both business decision making and client requests– Utilize new technologies such as Teradata, R Markdown, Hadoop, Tableau, Snowflake, BigQuery, Google Cloud, and Alation to support reporting needsTo be successful in this role you will bring with you a demonstrated history of success utilizing oral and verbal communication skills to present information and build partnerships. You should also have a high level of attention to detail. Your problem-solving skills will be tested as you further your understanding of data reconciliation, reporting, and analysis.Must be able to travel up to 10%. Travel may require but is not limited to flights, overnight stays, local travel, travel on short notice and other travel deemed necessary by the Company.
Pay RangeThe typical pay range for this role is:Minimum: 70,000Maximum: 140,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications– 2-3 years data science experience required – 1-2 years Tableau experience– 2-3 plus years SQL & R experience or other relative programming experience– 2-3 plus years Healthcare data analytics experience
Preferred Qualifications– 4 plus years SQL experience or other relative programming experience in the context of applications such as Tableau, Teradata, Hadoop, Snowflake, BigQuery, Google Cloud, and Alation.– 4 plus years experience coding in R and R Markdown.– 4 plus years experience working in a professional environment with clients/partners including Reconciliation, Program Value Evaluation, and Root Cause Analysis.– 2 plus years utilizing machine learning and natural language processing tools– Masters Degree with concentration in Information Science, Mathematics, Computer Science, Statistics, Analytics, Epidemiology or other programming and data related fields of study preferred.– Knowledge of epidemiology study design, healthcare claims data– Experience in designing measurements around clinical outcome (e.g. drug adherence, utilization of medical procedures), behavioral health outcome, social determinant of health
EducationBachelor’s degree or equivalent experience
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Sr Model Risk Analyst | Green Dot |
We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTIONGreen Dot is seeking an experienced Senior Analyst join our Model Risk Management function. Specifically, under the general direction of the Model Risk Management leadership, the candidate will ensure that required Model Risk Management (“MRM”) activities are executed in a timely manner including model inventory maintenance, model validations and ongoing monitoring of model performances. Previous experience in validating models in pursuant to FRB SR 11-7 is a plus.Job Responsibilities
Perform independent validation of various types of models, including but not limited to statistical, machine learning, financial, and AML models used by the company
Collaborate with company-wide business units and stakeholders to execute the governance framework, policies and procedures, and perform risk and control assessments.
Liaison with model owners, developers and users to monitor usage and performance of the models and syndicate the findings of model validation
Participate in model risk management committees, inventory assessments, and other functions in support of the business objectives and regulatory requirements
Initiates the preparation and presentation of risk reporting and validation reports for varying audiences including department heads, senior management, executive management
Job Requirements
Bachelor's degree with 7+ years of experience in financial engineering, economics, mathematics, statistics, engineering or related fields or Master’s degree with 5+ years of experience in financial engineering, economics, mathematics, statistics, engineering or related fields.
Proficiency in statistical software/programming language like Python, SQL, R, etc.
Proven knowledge of model lifecycle, risk management methodologies and familiar with model validation function
Strong background in model development and statistical analysis, preferably with AI/ML modeling experience
Familiar with different modeling concepts and methodologies, such as logistic regression, various supervised and unsupervised machine learning algorithms
Ability to interact with all levels of organization as well as internal and external customers and to communicate technical information to different audiences
Proactive work style used to consistently communicate project status, issues and completion plans.
Strong analytical and computer skills including experience with quantitative analysis technical tools and techniques
POSITION TYPERegular<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>>Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.
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Data Scientist Sr Data Scientist | Green Dot |
We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.JOB DESCRIPTIONThis is an exciting opportunity to apply data science techniques and drive the growth of Green Dot’s Direct Business - including strategic product: GO2bank -‘The ultimate mobile banking app’. The data science team is working on several projects related to lead scoring, funnel optimization, experimentation, customer retention, product analytics and fraud/risk ops areas. We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions. The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well. The candidate will be reporting to Sr. Director of Data Science.Job Responsibilities
Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for services and product enhancement.
Own and deliver predictive modeling/analytics projects of moderate scope or manage significant tasks on complex data science projects
Perform large-scale data analysis to inform business decisions around web behavior, funnel optimization, transactions, balances, customer behavior, risk and overall operational trends
Define, write queries, extract and transform data sets to create features for modeling and/or generate actionable insights
Collaborate with Data engineering and Model Risk Management to build and deploy models/analytical solutions into production
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Collaborate with business stakeholders as per project needs and communicate results of the models/analytical solutions developed
Perform other duties as need
Job Requirements
Bachelor’s degree in a quantitative, technical, or financial discipline required. Masters or PHD in similar field is a plus
2-7 years of experience in data science or advanced analytics based on education/experience
Advanced understanding of data science and statistical modeling techniques such as classification, clustering, regression, decision trees etc.
Proficiency writing SQL (i.e. Amazon Redshift, MS-SQL Server) and working with large data sets
Experience using Python (required), other statistical tools (such as R) and AWS Sagemaker (preferred but not mandatory)
Experience developing dashboards using business intelligence or reporting tools such as Tableau or Microstrategy
Proactive work style, progressive thinking skills, strong work ethic, communication and problem-solving skills
POSITION TYPEGreen Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.
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Director Credit Risk Analytics | Prosper |
About Us
Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than a million people gain access to affordable credit with over $23 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, credit, home equity lines of credit (HELOC), and our newest product, HELoan. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.
We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!
Our Values
Diversity expands opportunities
Collaboration creates better solutions
Curiosity fuels our innovation
Integrity defines all our relationships
Excellence leads to longevity
Simplicity guides our user experience
Accountability at all levels drives results
COVID-19 Vaccination Policy
Prosper is continuing to grow our team during the COVID-19 pandemic, conducting fully remote hiring and onboarding processes. Our philosophy as a business is to approach the COVID-19 situation with empathy and urgency. Prosper’s top priority is the health and safety of our employees and of the communities we serve, including our customers, partners, prospects, and candidates. In accordance with this priority, along with our legal responsibility to provide and maintain a workplace that is safe and free of known hazards, we have adopted a COVID-19 Vaccination Policy which requires all of our employees to receive vaccinations, unless they have an approved accommodation.
www.prosper.com
Our Story & Team // Our Blog
The Role
As the first peer to peer lending marketplace in the United States, Prosper has a history of innovation. As a growing company that generates cash (rare in the valley), Prosper also has a history of generating results.
The Director, Credit Risk Analytics is responsible for underwriting credit strategies and oversight of credit quality and performance of the Personal Loan portfolios. The incumbent is responsible for the life cycle of credit management including compliance with requirements of regulators and internal control and will recommend opportunities and propose resolutions for improved efficiency, effectiveness, and/or risk reduction for the portfolio. The incumbent is required to review, analyze, and enhance the risk strategies through the use of Machine Learning models and credit data to manage the acquisition growth while delivering expected returns to the investors. S/he will work with cross-functional teams in Product, Engineering, Legal/Compliance and Marketing to deliver the credit strategies as per design.
The ideal candidate is expected to bring broad and in-depth consumer lending expertise to the team, be comfortable to be hands-on to guide team to develop strategies for automated credit decisions, own the end-to-end process to ensure the credit strategies are performing as expected to support business growth while managing credit losses effectively. S/he should be a passionate business and people leader who has the business acumen and domain expertise to guide team to tackle challenges in novel and effective ways. Making better, faster and more agile risk strategies keeps our marketplace competitive and ensures that we continue to deliver on our mission of advancing financial well-being
Problems You Will Solve
Develop credit strategies to improve the credit performance by using data, statistical models and advanced analytics tools
Turn findings/gaps into strategy enhancement to present recommendations to the Risk Management and broader Prosper community with the considerations of business impact and cost needed
Maintain credit losses within the risk appetite
Bring innovative/out of the box thinking to make recommendations and approaching/solving problems
Design A/B tests and understand the risk-return trade-offs
Identify and evaluate new vendors / data sources and create business cases
Partner with Product, Marketing and Engineering teams to implement strategies and monitor the strategy performance
Conduct ad-hoc analysis related to risk management, investor services, product, and operations
Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers.
Work with legal and compliance team to ensure strategies and policies comply with all the regulatory requirements
Have experience with credit loss forecast and stress testing exercise
About You
Master’s degree in Business, Statistics, Mathematics, Engineering or Economics.
10+ years of experience managing credit risk in consumer lending industry
5+ years of people leadership experience
Strong business acumen and extensive knowledge about credit management
Outstanding thought leadership and skills to translate business problem into analytical problems; ability to build and enhance framework
Exceptional communication skills in both written and oral – ability to communicate technical subject matter clearly and succinctly to other team members and Senior Management team
A team player – collaborate with people across functions
Business owner mentality
Ability to work in fast-paced environment and meet deadlines without sacrificing quality
Ability to work productively in a remote/in-person hybrid working environment
Compensation
The salary for this position is $209 -$258k annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors.
#LI-SK1
#LI-remote
Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA: https://www.prosper.com/plp/legal/privacy-notice-for-applicants/
At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.
Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.
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Research Scientist | Education Analytics |
Education Analytics (EA) is a non-profit organization that uses rigorous data analysis to inform education research, management, and policy decisions. Our staff is a group of highly motivated, energetic, passionate researchers and analysts who work with school districts, states, and foundation partners across the U.S. to identify innovative ways to improve education systems.
We are seeking a researcher with either a Ph.D. in economics, or a Ph.D. in statistics or a related field, with skills in econometrics, applied statistics, or related quantitative methods. The Research Scientist at EA collaborates with external project partners, other researchers, data strategists, analysts, and policymakers. The position will report to the Research Manager and Chief Research Officer and will play a substantial role in directing various programs of research. The role requires a mix of analytic, statistical, communication, and project management skills to meet the challenges of leading applied, rigorous statistical analyses and making substantive contributions to the fields of educational data analysis, measurement, and policy.
If you are looking to apply cutting-edge approaches to address critical problems impacting the lives of students across the country, we encourage you to apply. We are looking for passionate researchers who view every challenge not as a roadblock, but as an opportunity to do something innovative and exciting to transform the U.S. education system.
This position is preferred to work at our physical location in Madison, Wisconsin, although we will consider remote work as a possibility.
Specific Research Scientist responsibilities include:
Developing statistical models for education policy applications that may include, but are not limited to, using the following approaches: econometrics, linear regression, multilevel/hierarchical linear modeling, Bayesian methods, propensity score matching, or data science (e.g., machine learning)Writing researcher-oriented documents, including conference papers and presentations, academic journal articles, working papers, and technical documentationCollaborating with and supervising analysts and programmers to implement statistical models for external partners and for internal researchCommunicating and collaborating with state and local education agencies and other EA partnersCo-creating written documentation with EA data strategists and analysts, such as technical memos, policy briefs, partner reports, practitioner guidebooks, and grant proposals, for a variety of technical and non-technical audiences
Skills and Experience
Either a Ph.D. in Economics or related field; or a quantitative Ph.D. in Statistics, Public Policy, Sociology, Educational Psychology, Data Science, or a related statistically-focused field is requiredFamiliarity with the R programming language is preferredDeep knowledge of statistical and analytic approaches for evaluating educational policies and programsExcellent problem-solving and systems-thinking skillsStrong written and verbal communication skillsCustomer-service and entrepreneurial orientation to working with partners that ensures that EA exceeds expectationsDesire to work in a team environment at a fast-growing, fast-paced nonprofitDemonstrated interest in improving and supporting U.S. K-12 public education through data analysis
Benefits
Competitive salaryInstitutional support for professional organization membership and conference attendanceAnnual merit bonusesPaid holidays and one month of paid vacation per yearGenerous 401k and health benefitsFree Madison Metro transit pass or subsidized office parking (if space is available)Casual office environmentLocation right in the heart of downtown Madison, Wisconsin
Education Analytics is committed to creating a diverse environment and is proud to be 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.
We want to let candidates know that EA is a federal contractor with over 50 employees. As the situation has evolved with federal requirements, we now require vaccinations for all employees. Medical and Religious accommodations will be granted where they do not cause Education Analytics undue hardship or pose a direct threat to the health and safety of others. Keep this requirement in mind and please reach out if you have any questions or would like to request an accommodation.
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Data Scientist Iii | Edward Jones |
Copyright © 2022 Edward Jones.Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. If you have a disability under the Americans with Disabilities Act or a similar law and you wish to discuss potential accommodations related to applying for employment at our firm, please contact us at 1-866-788-4979. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring.
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Senior Data Scientist | Black Knight Inc |
Position:Senior Data ScientistJob Description:SUMMARY Responsible for building and maintaining real estate analytics, automated valuation models (AVMs) and associated analyses within Black Knight’s Data and Analytics Division. Creates, develops and programs mathematical models of real estate valuations, trends and risks. Uses classical statistical and machine learning methodologies with multiple public and proprietary data sources to develop AVMs for the residential real estate market.RESPONSIBILITIES
Responsible for building, analyzing, testing and calibrating AVMs, including the use of non-traditional data.
Responsible for designing and executing model performance monitoring requirements for AVMs.
Designs test cases and test applications for AVM production systems to ensure business needs are met and all models and analytics are successfully implemented.
Works closely with the Product Management and Software Engineering teams on the product development of AVMs.
Provides support to the Sales team and consulting to clients using these products.
Performs ad hoc analyses as needed and assists product line managers with analytical projects.
Partners with business line managers to research industry best practices and trends and provide thought leadership in real estate analytics.
Performs other analytical tasks as assigned.
MINIMUM REQUIREMENTS
Bachelor’s degree in Mathematics, Finance or the equivalent combination of education, training, or work experience. Master’s degree is preferred for senior level roles.
Typically requires eight (8) or more years of related work experience in developing mathematical formulas, financial models and computer programs to create complex models of market
trends and risks. Master’s degree and/or related professional certifications are preferred for this role.
Extensive knowledge of statistics and data science, including machine learning, as well as the behavior of residential real estate market markets.
Proficiency in SQL, Python (or R), and C#.
Knowledge of real estate, mortgage and economic data.
Ability to translate business needs into technical solutions.
Strong analytical skills with the ability to apply these to practical applications.
Ability to solve complex technical problems, assimilate information rapidly and work under time constraints.
Team player with the willingness to collaborate with other technical and non-technical partners.
Client-focused approach with strong interpersonal skills.
Excellent oral, presentation and written communication skills.
Excellent problem-solving ability and organization skills.
Ability to successfully network with other departments where necessary.
PREFERRED QUALIFICATIONS
Experience in real estate and/or mortgage modeling and with major real estate analytics products.
Experience working with a big data platform, including business intelligence and reporting functionality.
Working experience in financial institutions and the mortgage or real estate industries.
EEO Statement:Black Knight is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, and protected veteran or military family status. Our employees’ diversity is our strength, and when we embrace our differences, it makes us better and brighter. Black Knight’s commitment to inclusion is at the core of who we are, and motivates us in how we do business each and every day. Location:RemoteTime Type:Full time
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Data Scientist People Analytics | Adt |
WHO WE ARE:
The People Analytics team, functioning as a division of HR Services and Operations, serves as the company’s leading analytical authority on our people, translating data into high-value, actionable insights for senior leadership, HR business partners, and people leaders within the organization in the pursuit to solve business problem
SUMMARY:
This position is responsible for providing thought leadership on execution of strategic analytics initiatives, people data modeling and experimentation to solve essential business and HR challenges with a focus on key issues such as predicting great hires, employees at risk of leaving, and supporting our company’s employee engagement and diversity and inclusion goals and objectives. Additional responsibilities will encompass quantitative analytics, predictive modeling, research design, consulting, and soft skills applicable to people research. This position will have direct involvement in operationalizing our people strategy with our analytics team to solve complex human and data questions and communicating solutions that provide insights and lead to data-driven recommendations. The successful person in this role will be forward-thinking–a committed supporter for predictive analytics and enjoy constantly learning and growing skills within people analytics and data science. This position will work directly with the People Analytics Leader, as well as data analysts, data engineers, and HR Business Partners.
KEY ACCOUNTABILITIES include the following. To perform this job successfully, the Data Scientist, People Analytics may be expected to perform special projects and other duties as requested.
Seek to understand people-related business problems and help frame them into actual research questions that can be answered with data. Bring together our organization’s data, as well as external data and research, to help our business leaders understand and act on people issues. Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making at executive levels, within HR, and with people managers. Deliver strong customer service including translation of requests into requirements and communication of technical information to a non-technical audience. Use platforms, programming, and systems to establish single-source data to be leveraged across the business to support insights and improved decision-making. Lead data-driven and evidence-based research to support the delivery of people metrics, reporting, and advanced and predictive analytics. Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders. Leverage expertise and knowledge of HR industry and people analytics trends to address practical business challenges. Collaborate with and communicate broadly within the People Analytics team, HR, and the business in a cross-functional effort with key stakeholders to identify key initiatives and execute delivery of sustainable solutions to expand our data universe. Exercise traits of adaptability and good judgment to support organizational agility. Be a constant learner, active listener, and teacher to advance data science, people analytics, and our organization. Exude passion for your field, people analytics, and our organization both internally and externally to establish us as thoughtful and effective use of data and people analytics.
SUPERVISORY RESPONSIBILITIES:
None required
CORE COMPETENCIES:
Advanced proficiency in MS Excel required Intermediate proficiency in Tableau required. Tableau Prep experience preferred. Advanced experience with proficiency in advanced languages (Python, R) with a strong emphasis on data modeling in Python or R. Experience in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data. Experience in advanced statistical methods around hypothesis testing, clustering, machine learning predictions, and text mining. Experience modeling high-dimensional data. Experience with tools and languages in the design and implementation of data pipelines that support the continuous delivery of insight. Understanding of the external people analytics landscape and trends. Ideally experience with people research, the human capital domain, user interface, consulting, and our industry. Experience in applying data privacy regulations and navigating how to effectively use data while protecting an individual’s privacy. Experience in thriving in project environments that often start with uncertain requirements or outcomes; ability to apply definition and structure around uncertain problems. Experience working in a fast-paced, dynamic and entrepreneurial environment and the versatility to manage multiple projects, priorities, and urgent issues successfully and simultaneously Experience in positively interacting with people of opposing thoughts and ideas within a team environment.
EDUCATION/CERTIFICATION:
Four (4) year degree or equivalent experience required in either Analytics, Mathematics, Operations or Computer Science, Statistics, or similar highly quantitative degree.
WORK EXPERIENCE:
3+ year’s directly applicable experience in data modeling and data tools and languages such as Python required.
ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at jobs.adt.com/diversity to learn more.
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Staff Data Scientist | Achieve |
At Achieve, we’re changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you’ll get to be a part of their journey to a better financial future. We’re proud to have over 2,700 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job-it’s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.
Join Achieve, change the future
About the role:
The Staff Data Scientist will be heavily involved in executing data analysis and modeling tasks for Achieve Asset Management, the lending division of the Achieve. The overarching mandate for the Staff Data Scientist is to execute on analytic delivery and to develop new analytic capabilities for its lending businesses. The team member will partner with business leaders in Achieve and deliver frontline models and strategies for originations and account management decisions as well as deliver accurate and timely loss forecasts for pricing, financial planning and capital markets activity. Additionally, he/she may collaborate with other team members to assess and develop new analytic opportunities. This role is of high impact in the organization and will provide the candidate exposure and visibility into strategic initiatives for the company.
What you’ll do:
Drive better understanding of Achieve customers and prospects. Optimize customer experience and Achieve’s value proposition by leveraging supervised and unsupervised modeling solutions.Utilize your technical and analytical skills, while also gaining in-depth exposure to business strategy.Act as consultant to cross functional teams, advise how to best leverage predictive modeling and data in general Build loss forecasts and related requests for partner groups. Improve upon current processChallenge conventional thinking and work with stakeholders to identify and improve current methodologies and processesConduct Fair Lending Analysis on managed modelsProduce actionable portfolio reportingOptimize customer experience and Achieve’s value proposition by leveraging supervised and unsupervised modeling solutionsBuild loss forecasts and related requests for partner groups. Improve upon current processChallenge conventional thinking and work with stakeholders to identify and improve current methodologies and processesDevelop new techniques and data that reveal insights hidden in numeric and textual datato drive better understanding of Achieve customers and prospectsRun Fair Lending Analysis on managed modelsProduce actionable portfolio reporting
What you’ll bring:
Master’s degree or PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, Economics, etc.)3+ years of experience working in a risk management organization at a financial industry - a big plusHands-on experience with clustering, classification, sentiment analysis, survival analysis, time series, ensembles, and similar other methodologiesExpert knowledge in R/Python/SQL. Familiarity with UNIX/LINUX environments shell scripting is a plusExperience working with relational databasesStrong organizational skills with an ability to manage multiple projects at any given timeStrong verbal and written communication skills. In particular, be able to convert highly technical concepts and results into easily understood business value proposition
Preferred Qualifications:
Experience with use of credit bureau data for modeling and analyticsTableau or other visualization tools experience is strongly preferred; knowledge of SAS is a plus
Achieve well-being with:
Hybrid and remote work opportunities401 (k) with employer matchMedical, dental, and vision with HSA and FSACompetitive vacation and sick time off, as well as dedicated volunteer daysAccess to wellness support through Employee Assistance Program, Virgin Pulse, Ginger Health Coaching, and fitness discountsUp to $5,250 paid back to you on eligible education expenses Pet insurance for your furry family membersFinancial support in times of hardship with our Achieve Care Fund A safe place to connect with other employees through our six employee resource groups
Salary Range: $160,000.00 to $210,000.00 annually + bonus + benefits. This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.
Meet Achieve
Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and an empathetic touch. We put people first and treat them like humans, not account numbers.
Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve’s Talent Acquisition leader.
#LI-Hybrid
#L1-RC1
#Hybrid
Job Req:
20007
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Data Scientist | Achieve |
Achieve (formerly the Freedom Financial Network) has openings for Data Scientists at its companies Freedom Debt Relief, Freedom Asset Management, Freedom Network Funding, and Lendage.
Location: San Mateo, CA and Tempe, AZ
Data Scientist is core position involved in executing data analysis and modeling tasks. The overarching mandate for the Data Scientist is to execute on analytic delivery and to develop new analytic capabilities for the organization
Job Duties:
Works on data model maintenance, development, & optimization, data file preparation, reporting & ad-hoc analyses. Perform predictive modeling & convert analytic findings into customer insights. Prepare & manipulate data using R & SQL. Works with internal stakeholders.
Statistical Predictive Modeling & Analysis
Define business problems, translating them to analytic questions, determining whether such data are available in our data warehouse, extracting them for analysis from company database, cleaning & preparing the data for modeling, applying different statistical models based on specific business problems. Build, maintain & optimize predictive statistical models (such as linear regression, logistic regression, Random Forest, XGBOOST, etc.) to estimate impact on profitability drivers based on response, risk, & customer demographic/ credit data, implement analytical technique, tools, scorecards, innovate advanced analytic techniques to analyze customer data & measure the marketing initiative performance. Through analysis & modeling, identify trends, patterns & relationships & make predictions & forecasting in the data that provide answers to questions posed by upper management. Analyze & monitor front-end & back-end A/B testing initiatives, measure true incremental impact of the business initiatives.
R & SQL programming
Perform R & SQL programming every day to work on a variety of quantitative analysis, statistical modeling & reporting. Write SQL queries to extract, & manipulate data in BigQuery, transform raw data to into a format suitable for analysis & archiving, apply advanced data mining & programing techniques to extract information from relational databases or big data repositories, design solutions to improve data processing performance of big datasets.
Results Reporting & Visualization
Summarize results & prepare reports of their findings once the data are analyzed. Create daily updated dashboards using data visualization techniques, such as charts, graphs, & pivot table either in Excel or Tableau to illustrate the results & make them understandable by decision makers within the company. Present the results to upper management, effectively communicate the reports updates, point out the limitations of the existing data so that decision makers will not misinterpret results.
Remote employment possible after probationary period & with management and accounting approval.
Job Req:
18583
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Director I Data Science | Liberty Mutual |
Help shape the future of Data Science across Liberty!
As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.
The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques. We work on some of the most exciting projects across all of Liberty. If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond
Detect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV)
Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practices
Explore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ data
Engage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI
Responsibilities:
Setting the scientific strategy for many of our initiatives
Working cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners.
Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
Drives innovation in the application and development of tools and practices.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Responsible for larger components of highly complex projects.
Guides aspects of project design as a technical expert for the team.
Regularly engages with the data science community and leads cross functional working groups.
Job Specifications:
Reference: 2022-53277
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$149,100.00-–-$210,200.00-/-Year
Education Level:
Travel: As Needed
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Staff Data Scientist Safety Insights | Reddit |
We are looking for a Staff Data Scientist to join our Safety Insights team, and lead strategic and product analytics for safety enforcement, signals and measurement. You will partner with the Safety Core product and engineering team, as well as Safety Enforcement teams (data science, threat analysis and operations) and User Research. You will 1) use data to inform strategic directions of automated detection and enforcement, safety signal development, and safety measurement; 2) operationalize and evolve Safety’s topline bad content exposure metric; and 3) provide guidance to the rest of the company on launch processes and guardrails related to safety.
The Safety Org is one of Reddit’s biggest divisions, and Safety Insights works across the entire org to provide qualitative (user research) and quantitative (data science) insights for product development, scaled abuse detection/mitigation, threat intelligence, and safety operations. We unravel hard problems that cut across safety domains, and guide product development to protect our users from bad experiences. In the Safety Insights team, we value asking who’s missing, surfacing the deeper questions, up-leveling our peers, and facilitating good conversations. Our job is tough, but the impact is huge.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
What You Will Do:
Identify actionable and impactful insights through metrics and analyses, in order to improve our enforcement systems and outcomes
Partner with product, engineering, enforcement teams and user research to provide thought partnership, strategic influence and execution support
Partner with product teams outside of the Safety Org to improve product safety and user experience through rigorous experimentation practices and metrics
Be an end-to-end project owner from ideation to implementation and influence -- whatever that’s needed to create impact and carry out our mission
Who You Might Be:
6+ years of data science and product analytics industry experience
2+ years of experience in safety measurement plus one or more other aspects of safety, such as threat detection, prevalence reduction (in a problem team or a surface team), user experience, etc.
Proficiency with relational database (SQL), programming (Python or R), statistics, experimentation, and causal inference analyses
Motivated and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
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: $198,200 - $272,550.
#LI-AR1
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Data Scientist Analytics | Calm |
About Calm
We have a simple mission at Calm: To make the world a happier and healthier place. The heart of Calm is digital but the brand is expanding offline into a variety of products and services that bring more peace, clarity and perspective into people’s busy lives. We are building Calm into the Nike of the Mind. We believe Calm can become one of the most valuable and meaningful brands in the world.
About the Data Science Team
We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straight forward and sometimes it is highly complex, but in all cases we rely on data to drive our solutions.
As a Data Scientist you will be focused on leveraging our data to help prioritize product development, identify optimization opportunities, and automate data flows and analyses for key decision makers. In this role, your initial analytics efforts will be focused on guiding the product roadmap, to foster strong subscriber and user growth.
What You’ll Do
Collaborate with Product Managers, Designers and Engineers to design and measure A/B tests that help us understand the impact of new feature releases
Partner with product teams to perform deep-dive analysis to understand user engagement behavior
Collaborate with partners across technical and non-technical teams to bridge the gap between data and action
Help key-decision makers stay informed about the state of the business through internal data products built in tools like Amplitude, Tableau and Mode
Develop strong cross-functional partnerships across Calm to drive our team's success
Competencies
2+ years of analytics / data science experience
Strong proficiency in SQL
Comfortable manipulating data with Python or R
Experience designing and analyzing experiments
BA/BS in quantitative field
Ability to translate non-technical business requirements into technical solutions, and translate technical solutions to business outcomes
Strong relationship management and presentation skills
Pragmatic: balance scrappiness and rigor
Benefits
Competitive salary and equity
Unlimited PTO
Company-wide Mental Health days off
We pay your medical, dental, & vision insurance premiums
401K
Life insurance and disability benefits
Apple equipment
Opportunity to work with a product focused on making the world happier and healthier
And much more!
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Data Scientist Location Analytics | Urbanfootprint |
The role
As a socially-driven Data Scientist, you will be contributing to UrbanFootprint’s suite of geospatial data products, many of which leverage our parcel level map of all properties across the US that integrates information about people, employment, land use, the environment and more. These data products power nearly every decision our customers make. They allow our customers to design environmentally conscious growth plans, target government relief dollars, and promote equitable community development.
As a product-minded and empathetic Data Scientist, you care deeply about how data quality and accuracy impact real decisions. You are autonomous, not independent; you incorporate ideas and feedback from stakeholders and other data scientists, clearly communicate progress and are accountable for the validity and accuracy of the models you build and the outputs you ship. You are comfortable researching on your own and asking for help when you need it. You’re thoughtful; you ask questions to ensure you understand the why and verify that UrbanFootprint is tackling the right problems and taking the right approaches. Pragmatic and hands on, you are comfortable applying models and algorithms to real world scenarios. You are comfortable prototyping solutions and eager to work with others to ship your models to production.
As a Series B funded startup, UrbanFootprint is an ideal fit for someone with an entrepreneurial spirit who is comfortable with (or, even, energized by) moving forward through ambiguity, lightweight process, and the inevitable changes in direction that come with iterating and refining on product-market fit.
What you’ll do:
Collaborate with product managers and data scientists to understand the problems our customers face and how we can best solve them.
Build prototype solutions addressing a wide range of real-world problems and work with data engineers to transform those prototypes into real products.
Partner with urban planning domain experts, customer success and product managers to ensure that model accuracy meets customer needs and expectations.
Communicate project progress, challenges and outcomes to internal stakeholders.
Your background most likely includes:
Work experience equivalent to a Master’s degree or higher in Statistics, Data Science or Machine Learning.
Experience with a variety of statistical or machine learning regression and classification models, missing data imputation, and/or clustering algorithms.
High proficiency in Python and Python’s scientific programming stack such as pandas, sklearn, statsmodels, one neural network library, and one data visualization library.
Experience developing models in an iterative, fast-paced environment.
Excellent communication, collaboration, and documentation skills.
Bonus qualifications:
Experience with geospatial modeling such as spatial clustering and spatial clustering with non-spatial attributes, spatial interpolation, and small area estimation and/or spatial downscaling techniques.
Experience as a full-stack data scientist, owning data pipelines, model development and production model implementation.
Familiarity with large-scale, cloud-based data analysis frameworks including BigQuery, Xarray, Pangeo, SQL, Apache Beam, Dask or PySpark.
You are socially driven to leverage data to facilitate a more equitable and resilient society.
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Senior Data Scientist | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
We'd love you to join us!
Do you have a passion for creating products and insights with data? Do you love finding the next big 'aha' insight which changes the way a business thinks about their customers? Would you like to lead change with global impact at the HQ of the world's hottest SaaS company?
Atlassian is looking for Senior Data Scientists to join our team. We're looking for people with business instincts, creativity, and analytics mastery, who is passionate about applying these skills to guide smarter product decisions and, delight our customers.
As well as being an important part of a stakeholder team, you'll also be a valued member of the Analytics and Data Science team. Your peers will rely on your expertise and you will help build initiatives that keep Atlassian at the forefront of world-class in analytics and data science. You will report to an Analytics Manager.
In this role, you'll get to:
Work with partners and leaders to identify high impact opportunities for analytics, and align analytics & data science priorities with our stakeholder's strategyPlay with our large volume of data to understand insightful trends and employ these insights to intelligently to improve user journeys and customer valueGuide the measurement culture and understand the impact of our stakeholder's strategy; including designing and analysing experiments and feature launchesEnvision, scope, and build projects by collaborating with partners, customer research, data engineers and other Data ScientistsShare your high-quality insights to multiple levels of leadership to build important decisions and shape overall company strategiesFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On your first day, we'll expect you to have:
Experience applying your analytics skills to guide projects which have had demonstrated impact on strategic and product roadmap decisionsDemonstrated communication through explaining complex concepts to diverse audiences and creating compelling storiesProject management & prioritisation experience; preferably with Data Engineering, Product Management, Research and Engineering teamsAn Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Expertise in SQL and proficiency in another data programming language (Python, R)Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects)A degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's great, but not essential, if you have:
Previously worked in global teams and high-growth companiesAn understanding of the SaaS development, business model and metricsBuilt ETL pipelines using any tools or scripting languagesContributed to the broader data community, through meetups, conference attendance, open-source library contribution, or other rolesAdvanced degree in Computer Science, Math or Statistics
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Principal Data Scientist Customer Analytics | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Customer Analytics team at Atlassian delivers insights about our customers throughout their lifecycle with Atlassian. We define and maintain a customer health score, provide insights on customer engagement, build and deploy models to predict potential churn and expansion. We design analytical frameworks to understand different parts of the customer journey, help customers get more value from our product suite and develop insights on the multi-year effort to transition server customers to Cloud. This team partners with other analytics teams and plays a huge role in important programs improving the business. We are a collaborative team with a high bar for analytical rigor, and we love to have fun along the way. We are looking for a top-tier data scientist to be an important contributor to the customer analytics team.
What you'll do
You will help build customer profiles and deliver meaningful insights to improve the efficacy of go-to-market (GTM) and Product programsYou will partner with Atlassian's Enterprise Growth, Product Analytics and Customer Success teams to improve Onboarding, Adoption, Expansion and Retention across our product portfolioInvolved in identifying positive and negative triggers related to product usage and workflows, coming up with data-driven recommendations for programs, defining evaluation metrics, designing experiments, analyzing results to understand the efficacy of the projects and building interactive dashboards to track and understand progressBe a partner to the Enterprise Growth and CSI team and work with the broader Analytics organization to deliver customer insightsYou will mentor senior data scientists and independently guide work with product managers
Your background
9+ years of experience in analytics or related fieldsUnderstand and analyzing digital campaigns at scale - Pre-Post Analysis, A/B testingExpertise in SQL and proficiency in another data programming language (Python, R)Create raw data and analysis into well-written contentExperience designing and analyzing experiments that impact product decisionsPassionate about customer experience, and customer analytics as a craftShare analyses and recommendations to non-technical audiencesUnderstanding of machine learning techniques such as Regression, Clustering, Decision Trees, Gradient Boosting Machines
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Senior Data Scientist Growth | Hinge Health |
One in two people experience debilitating back, neck, shoulder, or joint pain — but traditional treatments have failed to meet their needs. Physical therapy can be expensive and hard to access; appointments often involve long commutes and missed work. Making matters worse, unresolved pain can trigger the overuse of opioids and surgeries.
Join us in reimagining healthcare from the ground up. We’re making high-quality care accessible by pairing wearable sensors and computer vision with a world-class clinical team. Hinge Health puts a digital clinic in every member's pocket. Now millions of people can access personalized digital care from a physical therapist, guidance on behavior change from a health coach, and expert consultations with an orthopedic surgeon. With a single app and wearable technology like our Enso device, we’re helping to reduce pain, surgeries, and opioid use.
Here at Hinge Health, we welcome all applicants and know a diverse team makes us better and stronger. We look for individuals who embody our leadership principles and we value varied experiences and skill sets. Beyond specific work experience, we also look for unique capabilities and skill sets that are key indicators an applicant will thrive in our fast-paced, frequently evolving environment. If this sounds like the kind of place you’d like to be part of, please apply - we would love to hear from you!
Work From Anywhere
Hinge Health employees have the flexibility to work remotely in hubs across the US, Canada, and Latin America or work from our offices in San Francisco, Portland, and Montreal.
About the Role
You’ll play a key role in analyzing data generated by our users as well as providing insights for a wide variety of internal teams (Product, Growth, Clinical, Commercial, Finance, Research) and large enterprise customers. You will be a highly-visible, trusted partner to many of our most important decision makers. This is a fantastic opportunity to join our fast-growing Data team and shape how Hinge Health puts its data to use.
#LI-JJ1
WHAT YOU’LL ACCOMPLISH
Spearheading development of new growth channels by prioritizing opportunities and defining success
Working across departments to standardize how our company runs the business and defines key metrics
Drive long term product direction with a quantitative lens
WHAT WE'RE LOOKING FOR
Experience in data science/analytics, ideally with a focus on growth acquisition or user segmentation
Ability to engage closely with cross-functional partners with a knack for translating complex numbers into actionable insights
Strong communication skills and patience when working with multiple stakeholders simultaneously
Adept at working with data engineers to set company-wide standards for our datasets - helping create a single source of truth for all analytics
SQL and Python experience
Experimentation/AB Testing experience
Prior experience with BI/visualization tools (Tableau, Mode Analytics, Looker, etc.) a must
WHAT YOU'LL LOVE ABOUT US
Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live
Modern life stipends: Manage your own learning and development budget and use the mental health and lifestyle stipends to cover your favorite wellness services, workout classes, gym subscriptions, and work-from-home equipment
Flexible vacation and paid time off: Full-time employees have full flexibility to choose when, how, and why they take time off to rest and recharge
The range of base salary for the position is between $93,800 - $140,700, plus equity, and benefits. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.
About Hinge Health:
LinkedIn recently named Hinge Health one of the Top 50 Startups. Forbes, Fast Company, and Inc. have also recognized our technology, innovation, and culture.
Since our founding in 2014, we've raised more than $800 million from leading investors, including Coatue and Tiger Global. We work with 1000 customers across every industry and the public sector — including Salesforce, Verizon, and the State of New Jersey — to give more than 23 million people access to the care they need. We’re positioned to continue leading the market with unmatched investments in clinical research, care innovation, machine learning, AI, and computer vision.
Diversity and inclusion:
We’re committed to building diverse teams that reflect the communities we serve. Visit hingehealth.com/diversity-equity-and-inclusion to learn more about what moves us.
Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.
If you're interested - we'd love to hear from you.
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Senior Machine Learning Scientist | Overjet |
Overjet is on a mission to improve oral health for all.
Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care.
We’re building an ambitious team of data scientists, software engineers, clinicians, and business thinkers and doers.
Overjet is backed by an amazing consortium of Venture Capital including General Catalyst, Insight Partners, Crosslink Capital and the E14 Fund. The company has raised nearly $80 million in capital to accelerate talent acquisition and product development driven by strong demand for Overjet’s dental AI.
Role
As a Senior ML Scientist, you will successfully blending novel and SOTA techniques to solve our customer clinical problems. You will create AI innovations that uniquely target problems in the dental space, and work to rearchitect our current ML pipeline to become more scalable, reduce models and cost.
Responsibilities
Design novel architectures and techniques to solidify Overjet’s position as the market leading Dental AI vendor.
Demonstrate AI thought leadership via publications in reputable AI and Dental publications and talks at leading conferences.
Propose annotation strategies designed for optimal model performance.
Lead and mentor junior machine learning engineers and raise the ML bar across Overjet.
Work cross-functionally across diverse stakeholders, including product managers, TPMs, customer success, engineering and clinicians.
Required Qualifications
6+ years of commercial experience working on machine learning projects
Expertise working with SOTA (ViT, CNN, FCN etc.) and novel DL architectures in Computer Vision
Strong Experience in at least two of the following CV tasks - classification, object detection, semantic segmentation, instance segmentation, panoptic segmentation
Experience with NLP
PhD in machine learning, computer science, statistics, mathematics or similar field
A publication record in leading AI/ML journals (e.g. CVPR, ICML, MICCAI) and/or patent portfolio
Strong experience in ML lifecycle components - data engineering, labeling, model training, validation and deployment.
Demonstrable experience with developing models and techniques that have enjoyed industry success
Passionate about making a lasting positive difference in dental/healthcare.
Preferred Qualifications
Experience with creating FDA approved computer vision based products.
Experience with medical imaging
Experience building models with multi-modal input such as images and text
Overjet is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.
We can’t wait to learn more about you and meet you at Overjet!
Why Overjet?
Competitive Compensation and Equity
Fully Remote Working Policy for US Based Employees
401k plans with a matching program
Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered
Life and AD+D Insurance
8 weeks Paid Parental Leave
Optional HSA with Employer contribution
15 Day PTO policies and company paid holidays
Annual Learning and Development Stipend
Work from Home Stipend
Company Recognition
2022 AI-50 Forbes
2022 22 Start-ups to Watch in 2022 - Built in Boston
2021 AI 100 Ranking, showcasing the 100 most promising private artificial intelligence companies in the world - CB Insights
2021 Digital Health 150, highlighting the 150 most promising private digital health companies in the world - CB Insights
2020 & 2019 Digital Health 150 - CB Insights
EEOC
Overjet is an equal opportunity employer.
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply!
If you are a Colorado resident: Please contact us by emailing [email protected] to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.
#LI-Remote
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Senior Data Scientist Feeds And Discover Analytics | Reddit |
Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
We are excited to bring a Data Scientist onboard to work with our Feeds and Discover Teams! These teams focus on the user experience across Reddit’s main engagement and discovery surfaces: the home feed, the community feed, the popular feed, the news feed and the recently launched Discover Tab.
As the Senior Data Scientist embedded on the team, you will drive insights on how users consume content and engage across these surfaces, through experimentation and analyses that use the world’s coolest dataset. This will help inform product decisions that will keep making Reddit the best place to hang out online.
We partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage community, discovery, participation, and engagement.
What you’ll do:
Partner cross functionally with Eng and Product leads to help define and implement the team's roadmaps and initiatives
Become the expert at understanding how Feeds act both as consumer surfaces, but also as entry points to conversations and media.
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate A/B tests for product feature experiments to understand the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards
Build the dashboards and tools that help your cross-functional partners self serve their data needs
Who you might be:
Have proven experience in quantitative or data science, or product analytics roles (4 or more years)
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and programming languages preferred (e.g., R / Python)
Have worked with teams leveraging Machine Learning for ranking or similar features
Have a strong customer and business focus
Entrepreneurial and self-directed
Are comfortable in innovative and fast-paced environments, and have a bias toward action.
Can discuss complex topics with technical and non-technical audiences
Enjoy solving ambiguous and undefined problems
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Director Analytics | Stash |
Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals.
We’re one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation. Our personal finance app makes investing easy and affordable; this year 6 million customers set aside more than $3 billion with Stash.
Prioritizing People is one of our core values and has been key to a healthy work-life balance and a great sense of fulfillment and inclusion. We employ a true people first - hybrid model. Live and work where you feel the most productive, whether that is in our home, in an office, or a combination of both. Anywhere in the US or UK.
Let’s solve complex problems and tackle wealth inequality.
Stash is looking for a Director of Analytics experienced with marketing and acquisition teams to build reliable, scalable, and performant data systems and software.
This role will partner closely with Growth Marketing to drive data driven decision making using attribution modeling, incrementally testing, and LTV modeling to build the financial advisor of the future.
We look for strategic thinkers and creative problem solvers with a bias for execution. You can expect to contribute code as well as product/feature ideas from the get-go.
If you are looking for a culture that encourages ownership, taking calculated risks, being data-driven and that values evidence over ego, we would love to hear from you!
What you’ll do:
Manage a team of 3 data scientists delivering data products that support growth at Stash
Maintain and iterate on data products to ensure high-availability and reliability
Partner with the growth teams at Stash to deliver data products that enhance decision making, measure impact, and optimize the customer experience
Build and maintain scalable data systems and infrastructure that empower our marketing, product and business teams to make better decisions
Develop ETL pipelines that enhance source data to create more actionable insights
Work with large datasets to help us better understand our customers and anticipate their needs through distributed computation techniques
Make rigorous statistical inferences from A/B testing on our product and customer segments
Who we’re looking for:
5+ years of experience; most recently working with data, preferably from a growth perspective
SQL proficiency, with an understanding of storing and querying data from Redshift, PostgreSQL, or similar database infrastructures
4+ years of professional programming work in Python, or similar
Experience with Pandas, R, or other statistical modeling frameworks
Comfort with distributed computing, specifically Pyspark, AWS EMR, and Airflow
Knowledge of Looker or similar front end analytics platforms
dbt, Data Engineering and ETL experience is a big plus!
#LI-REMOTE
#LI-JB1
At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races, genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on.
Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve. As an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.
If you require any reasonable accommodations to make your application process more accessible please reach out to [email protected].
Invest in Yourself:
Equity & Stash Accounts [Invest, Retire, Custodial, Bank]
Flexible PTO
Learning & Development Fund
Work from Home Stipends
Parental Leave [Primary & Secondary]
Recognition:
BuiltIn’s Best Places to Work (2019, 2020, 2021)
Forbes Fintech 50 (2019, 2020, 2021)
Best Digital Bank, Finovate Awards (2020)
Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
LendIt Fintech Innovator of the Year (2019 & 2020)
**No recruiters, please**
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Research Associate | Education Analytics |
Description
Education Analytics (EA) is a non-profit organization that uses data analysis to inform education policy and management decisions. We work with school districts, regional offices of education, non-profits, and policymakers to identify ways to make education systems better. We are seeking a full-time Research Associate to provide quantitative research support to our team of Research Scientists. Research Associate tasks may include data preparation and analysis (e.g., data extraction and merging, summary statistics, regression analysis, and interpretation of statistical evidence); support for advanced modeling and simulations; statistical programming; and contributing to the writing and preparation of draft documents and presentations. The Research Associate may have the opportunity to co-author reports and journal articles.
If you are looking to really dig into data and apply cutting-edge statistics to address critical problems impacting the lives of millions of students across the country, we encourage you to apply. We are looking for passionate, budding researchers who view every challenge not as a roadblock but as an opportunity to do something innovative and exciting to transform the U.S. education system.
Specific Research Associate Responsibilities
Main responsibility:
Working with EA researchers to explore and refine innovative statistical methods for education policy and management applications that may include, but are not limited to, the following approaches: linear and nonlinear regression methods, Bayesian methods, propensity score matching, and multilevel/hierarchical linear modeling
Other responsibilities may include:
Collaborating with programmers to implement statistical models for external partners and projects Contributing text to technical memos, policy briefs, partner reports, and grant proposals, for a variety of technical and non-technical audiences Assisting in writing research-oriented documents, including conference papers and presentations, academic journal articles, working papers, and technical documentation
Skills and Experience
Required: Bachelor’s degree in a statistically focused field (e.g., Economics, Statistics, or Data Science) from a four-year college or university Preferred: Two years of professional experience in an academic, non-profit, corporate, or other research-focused setting; and/or graduate training (e.g., master’s degree, PhD coursework, or ABD) in economics, statistics, data science or a related field Understanding of and interest in quantitative methods—especially statistical or econometric models—for studying individual decision-making and/or evaluating public policy and programs Proficient with at least one statistical software program (e.g. R, STATA, SAS) is required; familiarity with R is preferred Strong problem-solving and systems-thinking skills Strong attention to detail Solid written and verbal communication skills Desire to work in a team environment at a fast-growing, fast-paced nonprofit Interest in improving and supporting U.S. K-12 public education through data analysis
Benefits
Salary starting at $60,000Annual merit bonuses 9 paid holidays of your choosing and 26.5 days of paid vacation per year Generous 401k and health benefits Free Madison Metro transit pass or subsidized office parking (if space is available) Casual office environment Location right in the heart of downtown Madison, Wisconsin
Location
Located in or open to relocating to Madison at some point (timeline open given COVID-19 uncertainty).
Education Analytics is committed to creating a diverse environment and is proud to be 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.We want to let candidates know that EA is a federal contractor with over 50 employees. As the situation has evolved with federal requirements, we now require vaccinations for all employees. Medical and Religious accommodations will be granted where they do not cause Education Analytics undue hardship or pose a direct threat to the health and safety of others. Keep this requirement in mind and please reach out if you have any questions or would like to request accommodation.
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Manager Data Science | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great Aplace to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. The role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a team of high performing quantitative analysts and will be responsible for ensuring the team stays motivated and engaged. Manages team performance, coach and develop employees and hire the right talent. In addition, this individual will identify, prioritize and supervise the team to flawlessly execute on initiatives.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
Manages priorities and sets of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
Recommends improvement to work processes to increase efficiency while maintaining quality of work. Consistently follow standard work processes and documentation requirements. Continuously improve technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Computer Science, Economics, Engineering, Mathematics, Sciences or related field
6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Business, Computer Science, Engineering, Mathematics, Sciences or related field
4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
#Remote
#LI-RD1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Lead Data Scientist Digital Analytics | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
Manages multiple priorities, communicate business performance and project progress to management & business partners.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.
Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's Degree in Analytics, Engineering, or Statistics
4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's Degree in Analytics, Engineering, or Statistics
2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
#Remote
#LI-RD1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Senior Data Science Analyst | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
What You'll Do
Work closely with management to execute analytical initiatives.
Solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.
Create reports and dashboards to closely monitor performance metrics and provide insights.
How You'll Do It
Develop advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
Collaborate with cross-functional partners to understand their business needs, formulated and completed end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
Manage multiple priorities, communicate business performance and project progress to management & business partners.
Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitate implementation of work product and ensure accuracy.
Consistently follow standard work processes and documentation requirements. Recommend improvement to work processes to increase efficiency while maintaining quality of work. Continuously improve technical and leadership skills through training and development.
Qualifications You'll Need
The Basics
Bachelor’s Degree in Analytics, Engineering, Statistics or related field
2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Bonus Points If You Have
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
Experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
#Remote
#BI-Remote
#LI-CR
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Finance Data Science Manager | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Job Summary
This Model Production and Automation Manager role is in Discover’s Finance Data Science department, serving as a Subject Matter Expert in developing and maintaining financial forecast model execution process to produce forecasts for business planning, capital stress testing (CCAR), and other financial analysis activities. Financial forecasts include credit loss, CECL reserve, loan receivables, payments, and revenue across Discover’s card, student loan, personal loan, and home loan products, as well as direct-to-consumer deposits.
What You’ll Do
Manage a team of data scientists/modelers to provide modeling solutions to Discover businesses, while adhering to enterprise compliance and governance standards.
Direct and lead the team to develop models, utilizing machine learning and other algorithms.
Present the results of mathematical modeling and data analysis to management or other end users.
Serve as a Subject Matter Expert in developing and maintaining statistical/econometric models to forecast credit loss, reserve for business planning and capital stress testing.
Lead all technical aspects of model performance tracking, model risk management related analysis, and research on modeling techniques and tools to serve business needs.
Develop advanced analytics solutions including segment, vintage, portfolio, and customer analytics to produce reasonable loss forecasts. Identify the key leading indicator for credit losses and evaluate the impacts from credit strategies.
Maintain strong knowledge in model execution environment, including process automation, data structure development, programming, and testing across technology platforms to ensure accuracy and efficiency.
Manage process automation, data structure development, programming, and testing model implementation across technology platforms to ensure accuracy and efficiency.
Analyzing, designing, and validating structured/unstructured data sources, data transformations, data lineage, data quality rules, data models, built on traditional warehouses as well as Big Data systems.
Partners with the business and technology teams to develop innovative data solutions to support advanced analytics initiatives such as AI, Machine Learning, and traditional analytic platforms.
Support the analysis of financial forecast result and prepare management reports.
Manage application development cycle, including collecting and preparing the business requirements for technology teams, conducing user acceptance test and implementation.
How You’ll Do It
Motivate and mentor the team of data scientists/modelers to grow their skills and careers―creating a nurturing environment that encourages innovation and continual learning.
Leverage deep technical knowledge and leadership skills to drive development of data-science solutions and implement data-driven recommendations and outcomes.
Act as a liaison among Corporate Risk, Finance, decision management, business technology teams, and other business partners in model-lifecycle to escalate model time to market.
Build relationships with business partners.
Allocate resources and prioritize projects, ensuring modeling projects are delivered in a timely manner.
Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of "best-in-class" analytical capabilities to unlock new proficiencies and enhance performance, and quickly adapt to modern modeling techniques. Demonstrate technical knowledge in analytical tools.
Qualifications You’ll Need
The Basics
Master's degree in statistics, math, computer science, engineering, economics, or related quantitative field
4+ years of experience in project management and modeling, or related field
Bonus Points If You Have
Ph.D. in statistics, math, computer science, engineering, economics, or related quantitative field
6+ years of experience in the financial service industry, or related field
1+ years of experience in people management or project management
Python, SQL, H2O, Pyspark experience
Credit Analytics on consumer lending products
#LI-CR1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Principal Data Science | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
JOB SUMMARY:
Responsible for working closely with management to execute analytical intiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Major Responsibilities:
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.
Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development
Qualifications:
Bachelors in Analytics, Engineering, Statistics required
6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related
Preferred: Masters in Analytics, Engineering, Statistics, Mathematics
4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related
#LI-LG1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Senior Manager Data Science | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You’ll Do
Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
How You’ll Do It
Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.
Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.
Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.
Qualifications You’ll Need
The Basics
Bachelor’s Degree in Analytics, Engineering, Statistics or related field
8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
2+ years of experience in People Management
Bonus Points If You Have
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
#Remote
#LI-RD1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
|
Lead Data Science Analyst | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
· Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
· Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
· Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
· Manages multiple priorities, communicate business performance and project progress to management & business partners.
· Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
· Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.
· Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
· Bachelor's Degree in Analytics, Engineering, or Statistics
· 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
· Master's Degree in Analytics, Engineering, Mathematics or Statistics
· 2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Director Data Science | Dropbox |
Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Engineering team is working to simplify the way people work together. They’re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact.
Role Description
The Data Science team is a central function which seeks to leverage data to help make better business decisions. This team leverages a variety of data sources and quantitative techniques to synthesize stories around how our customers use our products and develop key insights and actionable recommendations for our product teams.
We're looking for a Director, who will build and lead a team of data scientists to partner with growth, revenue, and product teams to answer key questions about how to grow revenue, scale a business, and launch high-impact initiatives. You’ll act as one of the most senior analytics leaders at Dropbox, and will work alongside product, engineering, design, marketing and research executives to advise on the company’s most important quantitative projects and achieve its most strategic business goals, as well as partner with the product organization to create and execute a quantitative monetization strategy tied to our products.
To do this, you’ll align key analytics projects for you and your team with business objectives, and communicate your insights broadly across multiple leadership teams. You’ll also have the unique opportunity to define what analytics means at Dropbox by influencing groups across the company to better understand how they can leverage data to achieve their most ambitious goals, leading by example. This role is highly strategic and uniquely is positioned to drive multiplier impacts for Dropbox as we continue to innovate and expand our core products. At the same time, you will get to lead an amazing team of talented, passionate data scientists and partner with senior leaders across Dropbox functions to shape the future of our business.
Responsibilities
Build and manage a team of high performing managers and data scientists to deliver best in class analytics Work with cross-functional teams (including Machine learning, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate on our product strategyLeverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps Create personalized segmentation strategies leveraging ML models to enable targeting of offers and experiences based on user attributes Identify key metrics and leverage automated dashboards to track health of the business to inform financial outlookEnsure active collaboration with cross functional partners and perform analytical deep-dives to analyze problems, size opportunities and optimize through experimentation. Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenCoach, mentor and help set strategy for Data Scientists to drive even more impact for the teamUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field10+ years experience of leveraging data-driven analysis to influence key business decisions, preferably in a tech company3+ years directly managing data scientists, quantitative researchers, or product analystsProven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impactAbility to lead and inspire a team who converts data into insights Ability to influence prioritization and execution of high impact projects effecting customer experience and monetizationAbility to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impactExcellent verbal and written communication skillsPrevious experience building data driven programs and teams - experience with SQL and large datasets, deep understanding of statistical analysis & experiment design
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
Benefits and Perks
Generous company paid individual medical, dental, & vision insurance coverage
401k + company match
Market competitive total compensation package
Free Dropbox space for your friends and family
Wellness Reimbursement
Generous vacation policy
11 company paid holidays
Volunteer time off
Company sponsored tech talks (technology and other relevant professional topics)
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Data Scientist | Dropbox |
Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role Description
We're looking for a Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities
Develop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsCreate personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trendsExtract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experimentsTranslate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlesslyWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingProven track record of being able to work independently and proactively engage with business stakeholders with minimal directionSignificant experience with SQL and large unstructured datasets such as HadoopDeep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesSolid background in running multivariate experiments to optimize a product or revenue flowStrong verbal and written communication skillsProficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
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Senior Data Scientist | Bluecore |
We are looking for Senior Data Scientists with a strong mathematical background to work alongside our Engineering Teams to build the next generation of retail and commerce models that delight and empower marketers. The ideal candidate is one that has several years of experience researching, building, serving, and maintaining data science models at scale. They are able to work with our Product Team to translate product requirements into the correct objectives, perform literature searches to identify the right approach, design thoughtful experiments, and write production code to serve the model and maintain it. They have first-hand experience with what works and what doesn’t, and are eager to share this experience with more junior members and guide them through that process. They are also able to, and excited to, help architect the data science infrastructure needed to accelerate innovation on models and facilitate serving and maintaining them. Finally, they should be curious and eager to identify and explore the myriad of other products that can be built on our unique data asset. Our culture emphasizes making good tradeoffs, working as a team, and leaving your ego at the door.
Over the past six years Bluecore has shown that Marketing Teams can create meaningful and valuable experiences for their customers using only first party data; an increasingly important proposition with the rise in concerns around online privacy and third party data. As a Senior Data Scientist, you'll be joining a dedicated group of Data Scientists and Engineers at the forefront of exploring exciting ways to activate that data asset. We build powerful models that enable Marketers to make the right decisions and engage their customers with personalized content that is timely, relevant, and valuable. Our approach to building models is an academic one, starting with a literature search, a baseline, and an iterative process of training and validation to identify the most suitable model that is as simple as possible and as powerful as necessary. We employ a wide variety of models, such as Bayesian models for predicting customer lifetime value, matrix factorization to identify a customer’s product affinity, and reinforcement learning models to optimize content, timing, and frequency of marketing communications.
Our models operate at scale and crunch through millions of data points to make decisions that have been shown to double revenue and triple reach, and are designed in a flexible manner to generalize across our set of 400+ diverse customers who span industries from apparel to automotive. To explore, build, deploy, and maintain models we leverage many tools such as BigQuery, Spark, Cloud SQL, Keras, TensorFlow, Airflow, Kubernetes, and Google Compute Engine. Finally, we’re a team that values applied research and constantly exploring the frontier of what’s possible; diving into fields such as topic modeling, restricted Boltzmann machines, recurrent neural networks, convolutional neural networks for image feature extraction, and differential privacy.
Responsibilities
Identifying appropriate models/algorithms to solve product requirements
Meticulous experimentation to evaluate and compare models
Writing internal and external facing documentation describing models and approaches
Deploying models to production and maintaining them
Identify new opportunities to leverage our data asset
Propose and drive technical initiatives
Propose infrastructure to accelerate the pace of model exploration and improve model serving and maintenance
Qualifications
PhD or MS in a quantitative discipline such as Applied Math, Data Science, Physics, Statistics, or Engineering
Relevant coursework and experience in the fields of Machine Learning, Statistics, and Optimization
Deep understanding of Statistical/Probabilistic Analysis and Linear Algebra
3+ years of relevant industry experience, including internships
Ability to write production-ready code
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, Time Series Analysis, and/or Optimization
Experience with ML at scale
Experience with SQL
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Staff Data Scientist | Bluecore |
We are looking for Principal/Staff Data Scientists with a strong mathematical background to work alongside our Engineering Teams to build the next generation of retail and commerce models that delight and empower marketers. The ideal candidate is one that has several years of experience researching, building, serving, and maintaining data science models at scale. They are able to work with our Product Team to translate product requirements into the correct objectives, perform literature searches to identify the right approach, design thoughtful experiments, and write production code to serve the model and maintain it. They have first-hand experience with what works and what doesn’t, and are eager to share this experience with both junior and senior members and guide them through that process. They are also able to, and excited to, help architect the data science infrastructure needed to accelerate innovation on models and facilitate serving and maintaining them. Finally, they should be curious and eager to identify and explore the myriad of other products that can be built on our unique data asset. Our culture emphasizes making good tradeoffs, working as a team, and leaving your ego at the door.
Over the past six years Bluecore has shown that Marketing Teams can create meaningful and valuable experiences for their customers using only first party data; an increasingly important proposition with the rise in concerns around online privacy and third party data. As a Staff/Principal Data Scientist, you'll be joining a dedicated group of Data Scientists and Engineers at the forefront of exploring exciting ways to activate that data asset. We build powerful models that enable Marketers to make the right decisions and engage their customers with personalized content that is timely, relevant, and valuable. Our approach to building models is an academic one, starting with a literature search, a baseline, and an iterative process of training and validation to identify the most suitable model that is as simple as possible and as powerful as necessary. We employ a wide variety of models, such as Bayesian models for predicting customer lifetime value, matrix factorization to identify a customer’s product affinity, and reinforcement learning models to optimize content, timing, and frequency of marketing communications.
Our models operate at scale and crunch through millions of data points to make decisions that have been shown to double revenue and triple reach, and are designed in a flexible manner to generalize across our set of 400+ diverse customers who span industries from apparel to automotive. To explore, build, deploy, and maintain models we leverage many tools such as BigQuery, Spark, Cloud SQL, Keras, TensorFlow, Airflow, Kubernetes, and Google Compute Engine. Finally, we’re a team that values applied research and constantly exploring the frontier of what’s possible; diving into fields such as topic modeling, restricted Boltzmann machines, recurrent neural networks, convolutional neural networks for image feature extraction, and differential privacy.
Responsibilities
Identifying appropriate models/algorithms to solve product requirements
Meticulous experimentation to evaluate and compare models
Writing internal and external facing documentation describing models and approaches, such as wiki pages, white papers, blog posts or journal papers.
Deploying models to production and maintaining them
Evangelizing Bluecore Data Science internally and externally
Identifying new opportunities to leverage our data asset
Proposing and drive technical initiatives
Proposing infrastructure to accelerate the pace of model exploration and improve model serving and maintenance
Being a technical mentor for senior and junior team members
Meeting with customers to discuss our machine learning models and roadmap
Qualifications
PhD or MS in a quantitative discipline such as Applied Math, Data Science, Physics, Statistics, or Engineering
Deep understanding of Statistical/Probabilistic Analysis and Linear Algebra
8+ years of relevant industry experience, including internships
Experience building, delivering and maintaining Machine Learning and AI products
Experience setting ML/AI project roadmaps
Strong oral and written presentation skills
Experience in technical mentorship and leadership
Ability to write production-ready code
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, Time Series Analysis, and/or Optimization
Experience with ML at scale
Experience with SQLv
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Senior Data Scientist | Karat |
We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud
Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data Science team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Senior Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.
The experience you will bring
6+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Proven experience applying machine learning to solve business prediction and automation challenges
Strong data analysis and scientific thinking skills
Experience with Python and related data science and machine learning libraries a plus
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Experience with — and a knack for — communicating technical work to partners
Professional familiarity with marketplaces solving problems at the intersection of supply and demand a plus
This is a full-time, salaried position. Immigration sponsorship is available.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.).
Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:
Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022
Benefits / Wellness:
Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice
Learn more about us
Statement of Inclusivity:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at [email protected].
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Data Scientist I | Usaa |
Purpose of Job
We are seeking a talented Data Scientist I to work from a 100% Remote Work Location.
This roles uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
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 and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Strong Python, SQL skills.Relevant banking domain knowledge particularly in areas such as AML, Fraud, Consumer Disputes, or Central Operations.Project experience with Graph Databases such as Neo4j, AWS Neptune or similar.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision,Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
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.
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 position. The salary range for this position is: $88,200 - $158,900*.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
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.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB
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Data Scientist Senior Natural Language Processing | Usaa |
Purpose of Job
Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Tasks:
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 and procedures for business activities.Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Experience:
Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use.PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc).Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus.
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.
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 position. The salary range for this position is: $106,800 - $192,300* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
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.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is available for this position.
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Data Scientist Senior Marketing Analytics | Usaa |
Purpose of Job
Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Tasks:
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 and procedures for business activities.Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Experience:
Understanding and experience with marketing mix modeling and optimization, marketing multitouch attribution, pricing elasticity, and competitive intelligence.Understanding, both theory and practice, of the modeling techniques listed above as well as machine learning and artificial intelligence modeling techniques, and optimization/mathematical programming.Familiarity with Federal Reserve Supervisory and Regulatory Letter SR 11-7 (Supervisory Guidance on Model Risk Management).Experience with model governance, including model deficiency identification and remediation, independent testing, ongoing performance monitoring, and compensating controls in all aspects of the model lifecycle.Experience with working and taking vendor models through model validation process.Experience with process risk, control, and improvement.Technical experience in the US Armed Forces, including but not limited to US Army ORSA FA 49 (e.g., PDSI R1J) and US Navy OPNAV N81, is also desirable.
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.
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 position. The salary range for this position is: $106,800 - $192,300* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
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.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
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Data Scientist Senior Omnichannel | Usaa |
Purpose of Job
We are seeking a talented Data Scientist Senior for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus or 100% Remote Work Environment.
This role is designated for a Data Scientist who has proficient knowledge with applying modern advanced analytics methods (predictive modeling, machine learning, and optimization), as well as a solid grasp of the mathematics used for each method and strong Python coding skills to develop numerical models. The Data Scientist is expected to demonstrate the ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees. The Data Scientist for this role is expected to have experience working with Natural Language Processing.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
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 and procedures for business activities.Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
6 years of related experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Experience:
Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Experience in the areas of Natural Language Processing (NLP), deep learning, or computer vision a plus.Proficient knowledge with applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization).Solid grasp of mathematics, with a strong foundation in calculus, linear algebra, probability, and statistics.Strong Python coding skills to develop numerical models.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
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.
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 position. The salary range for this position is: $106,800 - $192,300*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
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.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
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