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Data Scientist | Turntide Technologies |
Data Scientist
Turntide Technologies is helping turn the tide on climate change with breakthrough technologies that accelerate electrification and sustainable operations for energy-intensive industries. We develop full-stack, integrated, open systems that support commercial and industrial electric vehicles, building operations, and agriculture to optimize how the world uses energy, so every watt is worthwhile for humanity. We’re looking for curious, intelligent, collaborative people from diverse backgrounds who want to make a real impact on the sustainability of our planet.
The Job
The Data Scientist will apply state of the art machine learning technologies to gain insights into Turntide devices and other relevant connected IoT devices with the goal of reducing downtime and improving the life expectancy of devices through automated and remote adjustments and alerting for those devices as well as expanded utility of the collective devices. The role will be required to implement and deploy end-to-end pipelines to deliver direct value to the business. This role will require a hands-on Data Scientist with experience in modeling challenging Data Science use cases.
You will be in a visible position that requires direct interaction and collaboration with peers and leaders across businesses and functions. You will work on innovative devices and push the limits of data science by using subject matter expertise. You are a quick starter and able to adapt quickly to a complex, rapidly growing and ever-changing environment. You will be encouraged to think like an owner and be accountable for all of the phases of a complex production deployment. You are experienced in predictive maintenance and presenting machine learning technologies to non-Data Scientists. You will leverage a variety of data including device sensor data as well as publicly available data like weather or geospatial data.
At this point, we hope you're feeling excited about the job description you’re reading. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Turntide's mission and can contribute to our team in a variety of ways - not just candidates who check all the boxes. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
Job Responsibilities
Drive Turntide business insight through data and machine learning techniques in combination with mechanical engineering expertise
Architect effective machine learning pipelines and drive industry best practices for Turntide devices.
Present and clearly communicate machine learning projects, outcomes and insights to stakeholders, external customers, and other teams to build trust in Data Science
Become a subject matter expert (SME) in Data Science and predictive maintenance solutions within Turntide.
Collaborate with Data Engineering, Product, and Engineering and Product Quality teams to create value for our customers
Maintain currency in emerging technologies and methodologies in an effort to continue to improve solutions and apply continual learning practices within the Data Science discipline
The Requirements
3+ years hands on experience working as a Data Scientist using a variety of data sources such as geospatial data, mechanical system sensor data, and maintenance records.
B.S. Degree in Mechanical Engineering, Computer Science, Math or equivalent. M.S. Degree is preferred
Experience using machine learning to solve predictive maintenance use cases on machinery.
A strong technical understanding of mechanical devices and mechanical principles
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Proven track record of applied complex problem-solving and critical thinking towards new and innovative solutions.
Ability to excel in a fast-paced and entrepreneurial environment with high degree of autonomy and accountability
Bonus Points
Experience with cloud based data science platforms like AWS, Azure or DataIku
A strong technical understanding of battery and electric vehicle systems, fault detection & diagnostics (FDD) and mechanical systems
Experience deploying machine learning pipelines into production, including setting up recurring data ingest and model training as well as recurring alerts and assisting stakeholders to derive direct value.
Experience in deep learning or image recognition
The Upside
Competitive salary + equity
100% company paid family health insurance (medical, dental, vision)
Retirement contribution match
Open Paid-Time-Off policy
Work from one of our 5 offices or join the 70% that work remotely
Autonomy and flexibility to build green tech from the ground up
Incredible growth potential - we are revolutionizing the electric motor industry
Turntide Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state or local laws.
Please note: Direct applications only. No unsolicited Staffing Recruitment Firm submissions will be accepted. Any unsolicited CVs received will be treated as the property of Turntide Technologies.
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Applied Data Scientist | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for
We are currently seeking Applied Data Scientists to support our work within our Research and Insights department at all levels. The sectors within our ADS Research and Insights departments that we are currently hiring for are related to our political and nonprofit work, as well as our commercial business clients. Your level will be determined during your interview process based on the current and future needs of the business.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science.
Responsibilities
An Applied Data Scientist is responsible for the end-to-end execution of new client engagements utilizing data science, which includes:
Unifying large 1st- and 3rd-party datasets and building predictive models
Deriving clear, actionable, and timely insights from analyses
Creating client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods
Working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
Other job responsibilities of an Applied Data Scientist include:
Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Travel requirements: < 5%
Minimum Qualifications
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
Proven affinity for and experience working with large or messy data sets
SQL experience a plus
Experience with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Experience with presentation or data visualization software, such as Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization
Preferred Qualifications
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.)
Who we are
At Civis, we have opportunities for applicants who are newcomers, seasoned professionals, and anywhere in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily and we trust and encourage you to act on your ideas – no matter how big they are. We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo and finding new ways to grow our company and each other.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal and inclusive workplace.
Competitive benefits, including unlimited PTO, 401K match with immediate vesting, health, dental, and vision benefits, fully paid parental leave, breastfeeding support including breastmilk shipping services for traveling moms, commuter benefits, wellness initiatives including weekly group meditations, monthly on-site massage therapy, and pet insurance.
To support employees in our now fully remote work environment, we also have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (5-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-up where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from home schedules to help employees juggle responsibilities at home.
Civis Analytics embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please contact [email protected]
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
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Data Scientist | Mothership |
We are building the future of freight
Mothership's groundbreaking technology is unlocking the world's potential by making freight delivery more efficient. Founded in 2017, we're backed by some of venture capital's best investors and have already become the logistics backbone for many of today's most innovative companies.
Mothership is looking for our first Data Scientist to help better understand our carriers, identify how we can optimize our routes, elevate demand density and strengthen traffic recognition.
As the first Data Scientist, you will exude a passion for developing powerful mission-critical statistical and machine learning models, as your goal will ultimately be to investigate and develop a core strategy that will make us the strongest and fastest freight provider in the United States. In order to work cross-functionally across the organization, great communication and willingness to take risks and push boundaries will be required.
What You'll Do
Make significant and early contributions to the direction and role of data science at Mothership
Help the product and engineering teams make data-driven decisions
Hands on work with geospatial data
Design, implement, and evaluate A/B tests
Build datasets and train machine learning models
Build dashboards and data visualizations
Work with and learn from leaders from all departments within the organization
Qualifications
Bachelor’s degree or higher in Statistics, Computer Science, or equivalent
Experience working within a well-established organization or at a high-growth company
Proficiency in data science, machine learning, descriptive and inferential statistics, and A/B testing
Experience using statistical techniques to answer business questions and make data-driven decisions
Ability to select, train, and evaluate machine learning models for a variety of use cases
Ability to jump in and fix or extend open-source projects
Excellent communication skills, and ability to communicate complex technical information to both professionals and non-specialists
Technologies We're Working With
ETLs
SQL
Looker
Python
Jupyter Notebooks
Pandas
Scikit-Learn
SciPy
Tensorflow
PyTorch
Benefits & Perks
Highly competitive salary and the opportunity to earn employee stock options
Full health, dental and vision insurance coverage (PPO)
401k (4% matching)
Unlimited paid time off
Equipped with the latest technology
Remote workplace stipend
Culture at Mothership
We’re an ambitious, endlessly curious, and open-minded group. Our team is passionate about our mission and eager to produce work at the highest level. The environment is upbeat and supportive because we care about each other and believe positive momentum equals better outcomes.
If this sounds like a place you’d be a great addition to, let’s chat.
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Senior Product Data Scientist | Lucid |
Lucid is a research technology (ResTech) platform that provides programmatic access to first-party data. With respondents in more than 100 countries, Lucid enables anyone, in any industry, to survey online audiences and get the answers they need. These answers reveal the sentiments, motivations, and behaviors of target demographics – data that can be used to build business strategies, measure the impact of digital advertising, publish research, and more. Founded in 2010, Lucid is headquartered in New Orleans, LA with offices throughout the US, Europe, and Asia.
As a Senior Data Scientist at Lucid you will have the opportunity to collaborate with product and engineering teams to work on survey design and measurement, identity resolution, trust & safety and more. This includes product analyses, validation and establishing statistical methodology and modeling standards and development. The right candidate has the ability to independently research, develop and maintain products that align Lucid capabilities with market claims.
This role is open to candidates living in the United States to work remotely or from one of our US-based office locations (New Orleans, Dallas, New York)
The ideal candidate for this role will have 3-5+ years of hands-on professional data science experience
#LI-Remote
#LI-AV2
Responsibilites
Lead research, discovery and development phase for new and existing products. The primary areas include: identity, outlier detection, survey design and measurements, conversions, feasibility and funnel optimization.
Independently and confidently carry out project planning, development and maintenance - end to end with minimum or no supervision.
Analyze large and diverse datasets to extract impactful insights that can drive product strategy.
Collaborate with cross-functional teams to design, implement, and test new and existing products - develop and maintain statistical modeling and methodologies.
Ongoing evaluation and validation of both internal and external products to ensure Lucid’s success.
Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.
Qualifications
Must have minimum 3-5 years working experience in data science capacity.
Must have a minimum Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
Ability to manipulate, analyze, and interpret large data sources independently.
Deep understanding of advanced statistical techniques and concepts (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling and more).
Strong Knowledge of a variety of machine learning techniques (clustering, regression, decision-trees etc) and their real-world advantages/drawbacks.
Must have working knowledge in application of statistical and modeling techniques.
Comfortable in researching and learning new methods, tools and techniques.
Must be able to independently and confidently carry out projects end to end with minimum or no supervision.
Proficient in Python (as statistical and ML package tools).
Proficient in SQL and working with large-scale databases.
Nice to have
Experience in media measurement and digital attribution
Experience in multivariate testing
Experience in online survey methodologies
Experience employing causal inference methods
Experience in Identity graphs and fraud detection methodologies
Experience working with big data technologies (e. g. Spark)
Lucid's Hiring Commitment
We understand that many candidates may not be perfectly qualified for a job posting. Experience comes in different forms; many skills are transferable – and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a dynamic, collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is near the desired qualifications.
We also know that diversity of background and thought can enhance problem-solving and encourage more creative thinking, which is why we're dedicated to adding new perspectives to the team.
At Lucid we foster a collaborative and inspiring workplace. We pride ourselves in doing this by recruiting, hiring and retaining diverse, passionate, and forward-thinking talent. Lucid is committed to and encourages an inclusive environment and we are dedicated to providing 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 let us know.
|
Product Data Scientist | Lucid |
Lucid is a research technology (ResTech) platform that provides programmatic access to first-party data. With respondents in more than 100 countries, Lucid enables anyone, in any industry, to survey online audiences and get the answers they need. These answers reveal the sentiments, motivations, and behaviors of target demographics – data that can be used to build business strategies, measure the impact of digital advertising, publish research, and more. Founded in 2010, Lucid is headquartered in New Orleans, LA with offices throughout the US, Europe, and Asia.
As a Data Scientist at Lucid you will have the opportunity to collaborate with product and engineering teams to work on survey design and measurement, identity resolution, trust & safety and more. This includes product analyses, validation and establishing statistical methodology and modeling standards and development. The right candidate has the ability to independently research, develop and maintain products that align Lucid capabilities with market claims.
This role is open to candidates living in the United States to work remotely or from one of our US-based office locations (New Orleans, Dallas, New York)
The ideal candidate for this role will have 2-3+ years of hands-on professional data science experience
#LI-Remote
#LI-AV2
Responsibilites
Support research and discovery phase for new and existing products. The primary areas include: identity, outlier detection, survey design and measurements, conversions, feasibility and funnel optimization.
Collaborate with cross-functional teams to design, implement, and test new and existing measurement products - develop and maintain statistical modeling and methodologies.
End to end development and maintenance of Lucid’s measurement products.
Ongoing evaluation and validation of both internal and external products to ensure Lucid’s success.
Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.
Qualifications
Must have a minimum 2+ years solid working experience in data science capacity.
Must have a minimum Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
Ability to manipulate, analyze, and interpret large data sources.
Deep understanding of advanced statistical techniques and concepts (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling and more).
Strong Knowledge of a variety of machine learning techniques (clustering, regression, decision-trees etc) and their real-world advantages/drawbacks.
Must have working knowledge in application of statistical and modeling techniques.
Proficient in Python (as statistical and ML package tools).
Proficient in SQL and working with large-scale databases.
Comfortable in researching and learning new methods, tools and techniques.
Nice to have
Experience in media measurement and digital attribution
Experience in multivariate testing
Experience in online survey methodologies
Experience employing causal inference methods
Experience in Identity graphs and fraud detection methodologies
Experience working with big data technologies (e. g. Spark)
Lucid's Hiring Commitment
We understand that many candidates may not be perfectly qualified for a job posting. Experience comes in different forms; many skills are transferable – and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a dynamic, collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is near the desired qualifications.
We also know that diversity of background and thought can enhance problem-solving and encourage more creative thinking, which is why we're dedicated to adding new perspectives to the team.
At Lucid we foster a collaborative and inspiring workplace. We pride ourselves in doing this by recruiting, hiring and retaining diverse, passionate, and forward-thinking talent. Lucid is committed to and encourages an inclusive environment and we are dedicated to providing 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 let us know.
|
Data Scientist Trust Safety | Clubhouse |
Clubhouse is a new type of social product based on voice. It allows people everywhere to talk, tell stories, develop ideas, deepen friendships, and meet interesting new people around the world.
Our early users love the product and we have been featured in publications like The New York Times, Forbes, The Telegraph, TechCrunch, CNBC, and WIRED. Today, we are a small and productive team with a strong background in consumer products. We are well funded, with recent backing from top-tier VCs and many of the best angel investors from Silicon Valley and beyond.
We are seeking to add a few extraordinary people to our growing team. If you think you would be a good fit, please let us know! 🙏
The Role
As a Trust & Safety Data Scientist, you will work closely with our product and engineering teams to formulate and answer key questions about our product. You will play a central role in collecting, modeling, and analyzing data, and will drive meaningful changes to our product and user experiences based on your findings.
In this role, you will report to our Head of Data Science. We are a remote friendly-company — with our headquarters in San Francisco, a second office in LA, and a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S.
Who you are
You are curious, inquisitive, and enjoy solving ambiguous, open-ended problems. You are able to identify high impact problem areas with little direction. You have a healthy skepticism about data and know when to dig deeper into a problem.
You have the technical skills to work independently. You are comfortable with advanced modeling and statistical techniques and are highly fluent in SQL and Python. You have deep experience with experiment design and analysis. You have experience as a data scientist at a fast growing company and have a proven record of impact.
You are a strong communicator and are able to explain complex concepts to a wide audience. You are adept at crafting clear and impactful data visualizations.
You are meticulous and forthright. You are experienced with finding clear answers despite messy data sets, and are able to catch data issues as they arise.
You bias towards action. You like to build and ship - favoring practical choices, speed and a respect for sequencing. You focus on the things that matter and push back on things that don’t. You make deadlines for yourself and you move fast.
You’re scrappy and entrepreneurial. You thrive in fast-paced environments and are comfortable with not knowing the answer to something. You are willing to roll up your sleeves no matter what the challenge is.
You take pride in what you do. You care deeply about your work. You read through details and think about every bit of the user experience. If something seems off, you come up with a good solution and fix it without being asked to do so. You’re proactive with suggestions and people know they can count on you to get things done.
You enjoy your work. You love what you do, not because you feel you have to, but because you’re so excited to create something big for the world. Your favorite thing to do is to take on a huge challenge and pull it off.
You care about doing the right thing. You value diversity and go out of your way to ensure others feel welcome. You enjoy hanging out with your teammates, have a low-ego, and make the workplace more fun for everyone.
What you will do
In this role, you will play a key part in defining the data culture within Clubhouse and ensure that we have principled, data-driven decision-making processes. As part of the early data team, you will work on numerous zero-to-one projects and will have a direct impact on our product direction. You’ll have the opportunity to work alongside our product and engineering teams on high-profile feature launches that affect millions of people.
There are numerous complex product questions that we would look to a data partner to help the team untangle. On a given day, you may be performing and sharing complex analyses that inform a wide variety of decisions. Or you may be playing a hands-on role in new feature launches, ensuring that we understand the impact of policy changes on users and can identify potential issues early in the process. You will have the opportunity to do foundational analysis on important, unsolved questions across a wide range of problem spaces.
You’ll grow and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, challenged by your teammates, and growing your skills on a daily basis.
You’ll shape the product strategy. You will get to use your own product (and talk with others while they are using it) every day, and have significant input into its development. Your ideas will always be heard. Your work will vary over time and will cover a variety of areas. On a given day, you may be launching a new way of ranking support tickets, analyzing trends in different types of user behavior, or finding ways to proactively identify content in violation of our policies.
You’ll be an owner. We believe in hiring smart people and giving them as much responsibility as they can handle.
You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together for deep and meaningful conversations, creates new relationships, builds empathy across cultures, entertains people, and helps people develop ideas that change the course of their lives.
As an early team member at Clubhouse you will be a critical voice and have significant influence over the direction of the company. We will compensate you well, invest deeply in your development, and ensure this is the single best work experience of your life. If you think you might be a good fit for our team, we’d love to hear from you!
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Data Scientist | Onlinemeded |
OnlineMedEd’s purpose is to change how education is approached, delivered, and learned. We leverage education, technology, and research together to drive it all forward. Our philosophy is simple: medical knowledge belongs to no one, so medical education should be accessible to everyone. So we made a quality baseline education available to the world, for free. Today, we are one of the most widely used medical education platforms globally, playing a key role in creating the next generation of health care professionals. Equipped with enhanced knowledge, reasoning skills, and empathy, this generation of doctors is improving the lives of millions of patients.
We are looking for a full-time Data Scientist to be responsible for shaping, executing, and improving the way we design, implement, and analyze A/B tests at OnlineMedEd. The Data Scientist will also deep-dive our data to provide insights and help stakeholders to make more data-informed decisions.
Why You'll Love Working with Us
You'll be helping transform digital health care education, improving mobility and access for 300k+ users in 193 countries. Our team of talented employees and contractors is aligned to the same purpose and values, with the opportunity to bring our own unique strengths to our roles. Thanks to our welcoming company culture and comprehensive benefits, OnlineMedEd was ranked #4 Best Small Places to Work in 2021 by BuiltInAustin and one of the top Austin-based companies to work for overall.
What You’ll Do as a Data Scientist at OnlineMedEd:
Formulate, design, and execute A/B tests in collaboration with teams and stakeholders across the company, including Product, Marketing, and EngineeringPerform statistical data analyses, including analyzing A/B tests and hypothesis testing Translate analyses into actionable recommendations and communicate findings with both technical and non-technical audiences Track, merge, and share learnings across A/B tests to build internal knowledge and improve the quality of our tests Deep dive product and business data to unearth insights and ideas; leverage data findings to help stakeholders make data-informed decisions Work symbiotically with the business intelligence team to leverage their data and artifacts and extend their work into new analyses Identify potential data science projects that are aligned with organizational goals which will drive value for end-users, internal teams, and our company
Qualifications That Will Help You Excel
2+ years experience with deep data analysis, data wrangling 2+ years experience with designing and analyzing A/B tests Data visualization skills to present and highlight data analysis results Experience with building and wrangling new datasets for analysis Excellent communication skills, including written, interpersonal, and presentation skills, ranging from technical audiences to executive leadership Strong programming skills in SQL Strong programming skills in R and/or Python
Bonus Points If You Have These Skills
Experience with machine learning models
Our Benefits
Salary Range: $110,000 - $140,000 depending on experienceGenuine flexibility in work:Location: Work in the Austin office, work from home, or opt-in to our hybrid model so you can experience the best of both. This role may be fully remote within the United States.Hours: Work a schedule that makes sense for your life.Time off: Unlimited time off lets you celebrate, relax, recharge, recover, or travel the way that works best for you.Preferences: We provide funding to set up your home office space, plus you’ll pick your own laptop, and own it after a year.Enterprise-level health, dental, and vision insurance: OnlineMedEd covers 100% of the premium costs for employees, plus 80% or more of dependent premiums.Health and wellness perks include ClassPass credits, gym membership reimbursements, and virtual coaching for mental health.
Our Core Values
Selflessness: The best results happen when we put the users first, the team second, and ourselves last.Lifelong learning: Monthly Lunch and Learns, weekly presentations, funding for professional development, and 1:1 coaching provide frequent opportunities to learn and grow.Accountability: Take responsibility for your day without being micromanaged. We're focused on doing great work; when and how you do it is up to you.Transparency: We have an open-door policy and a no-blame culture. Salary ranges are transparent to foster pay equity. We value honest communication at every level of the company.Excellence: Focus on being great. Use the equipment you want, take advantage of the flexibility of unlimited as-you-need-it time off, and work when and where it makes sense. We strive to set you up for success.
Diversity in Doing Good
OnlineMedEd is a purpose-driven organization focused on doing well by doing good. We recognize that doing good is best achieved by uniting the unique contributions of individuals with different backgrounds, cultures, perspectives, and experiences. Beyond our equal opportunity employer status, we are committed to recruiting, hiring, training, and supporting the professional development of diverse individuals, regardless of differences, who demonstrate outstanding performance and exemplify our core values.
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Data Scientist | Starbucks |
Now Brewing – Data Scientists! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
The data scientist will support growth at Starbucks by expanding the reach and scale of forecasting and measurement capabilities to support future planning and decision measurement. In this role, you’ll leverage statistical analysis, time series methods, machine learning, product development, data visualization, and storytelling. Day-to-day work will balance providing short-term analytical guidance and supporting long-term forecasting and measurement product development. You will also have the opportunity to collaborate and immerse with teams across Starbucks, including finance, demand planning, store development, marketing, and loyalty.
As a data scientist, you will…
Extract and transform data from multiple sources in preparation for exploratory data analysis, modeling, and reporting.
Leverage predictive and inferential advanced statistical and machine learning techniques to solve business problems, including methods to surface uncertainty intervals to provide increased context.
Transform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.
Drive innovation by proposing and testing novel techniques and technologies to solve known problems and identify new business problems that can be addressed using data science products developed by the team.
We’d love to hear from people with:
Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline
Minimum of 2+ years industry experience in data science
Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline
Experience building complex data sets from multiple data sources, both internally and externally.
Strong SQL, databases and ETL skills required including cleaning and managing data.
Advanced competency and expertise in Python, R or some combination
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Ability to educate others on statistical / machine learning methods
Self-starter, attention to details and results orientated, able to work under minimal guidance.
Proficient in communicating effectively with both technical and nontechnical stakeholders.
Retail and eCommerce experience preferred
Experience on Cloud platforms such as Azure, AWS, preferred
Experience working with distributed data processing frameworks such as Spark and Data bricks, and languages such as Java, PySpark or Scala, preferred
Starbucks and its brands are an equal opportunity employer of all qualified individuals.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at [email protected]
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Senior Marketing Data Scientist Partnerships | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you have a passion for crafting products and insights with data? Do you love finding the next big ‘aha’ that changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We'd love you to join us!
We are looking for a Senior Data Scientist, Partnerships, to join our Marketing Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately delight our customers.
Partnerships, specifically technology partners, are industry peers with products that complement the Atlassian product suite. Through integrations that unlock combined use cases, our customers are able to accomplish more with their teams from these ‘better together’ capabilities. You’ll be responsible for working with our Marketing, Partnerships, and Product Integrations teams to measure success of rich partnerships and integrations between Atlassian products and popular services such as AWS, Slack, Zoom, Okta, Google, Microsoft, and others (examples appear in Atlassian’s recent investor letter). These partnerships help drive customer acquisition and growth and you’ll play a pivotal role in the company's future success.
In this role you'll get to:
Develop comprehensive program views of go-to-market performance by defining customer journeys, measuring partnership performance and making strategic recommendations for improvement
Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and marketing roadmap
Drive the measurement culture and understand the impact our partnership marketing strategy
Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
Be part of building an outstanding analytics culture at Atlassian. Lead 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 the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact to company level business decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling stories
Familiarity working with Product Marketing, Customer Research and Data Engineering teams
Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's great, but not required, if you have:
Previously worked in global teams and high growth companies
An understanding of B2B marketing, business model and metrics
Exposure to two-sided marketplaces
Experience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organization
Experience in building ETL pipelines using any tools or scripting languages
Are an active member of the broader analytics and data science community
#LI-AW1
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Manager Data Science | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Job description
Do you get excited by the challenge of scaling a fast-growing company through strong analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and solve problems nobody had solutions before? Are you enthusiastic about experimentation, fast learning and innovation?
We’re looking for a senior leader to grow a high-performing Workforce Analytics team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners with senior business leaders, identify opportunities and problems, test and measure hypotheses, build analytics and data science solution, and surface insights to drive transformative changes.
More about you
The perfect candidate will be a seasoned people leader with a background in applied statistics, economics or a related quantitative field. You have strong business acumen, you are comfortable with ambiguity and complexity, and you have experience working with senior leaders and cross functional teams. You are a self-starter, a strategic thinker, a data-driven problem solver, and a humble learner. You have demonstrated success in using data science to drive understanding, progression, and decision making for large organizations. You have domain knowledge in workforce analytics and people analytics.
In this role you will get to:
Hire, lead, and grow a team of data scientists with great technical skills, business acumen, and value fitPartner with senior leaders to identify business opportunities and build KPIsPartner with cross-functional teams (program management, workforce planning team, etc) to drive transformative initiatives and make impactBe the thought leader to build analytics strategy, provide transparency of roadmap, and drive sprint planningBuild shared vision, empower a team of missionaries, and deliver high quality outcomeDrive actionable analytics insights, build data science solutions, and measure impactManage roadmapping, sprint planning, stakeholder engagement, and remove blockers when neededBe a great communicator to share complexed ideas simple, advocate team's work and coach data storytelling
On your first day, we'll expect you to have:
8+ years experience as a people leader with proven success 15+ years experience in analytics and data science fieldSuccess at hiring, managing, and growing a global team remotelyStrong business acumen and strategic thinking - when there is complexity and ambiguity, you can help your team identify the right problem to solveSuccess at building a culture of data-informed decision making, fast learning and innovationStrong communication skills to tell data stories to non-technical audienceStrong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentationExperience applying advanced analytics knowledge to the real worldRoadmap planning, sprint planning, and project management skillsYou have domain knowledge in workforce analytics and people analytics
It's great, but not required, if you have:
Experience in B2B, customer support, customer successExperience in product analytics, people analyticsExperience with large data sets and distributed computing (Hive/Hadoop)Experience in using Jira, Team Central, Confluence to manage and share team's work
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Data Science Manager Confluence Performance | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Confluence is changing the way companies collaborate and share information. More than half of Fortune 100 companies, hundreds of thousands of teams, and millions of users use Confluence every day to get their jobs done, faster and more collaboratively. Join us as we unleash the power of teams all over the globe.
We are looking for a top-tier data scientist to work on Confluence product analytics. The role needs to manage a multi area within product analytics, with the possibility of having direct reports.
Product performance and scalability is the backbone of any B2B cloud products. On top of this, user’s needs for workplace collaboration products are fast evolving. Therefore, this role is multidisciplinary. You need to have the skills to dig deep into both performance and API data as well as usage data, connect the dots together quickly and communicate insights in a way that persuades action. Your product managers, UX designers, and full stack software engineers, lean on you for data informed decisions. Particularly for this role, you will have the opportunity to shape product roadmap.
On the first day, we'll expect you to have:
5+ years of experience in a product analytics function
Expertise in SQL and proficiency in Python
Thorough understanding of usage data creation process and experience of partnering with engineering teams for data tracking
Experience in designing and analyzing product experiments
Ability to turn complex findings into a compelling narrative and a set of actions
Track record of influencing decision-making using analytics
Background in Engineering or quantitative subject (e.g. Mathematics, Physics, etc)
It's great, but not required if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environments
Management experience
More about our team
Product Analytics at Atlassian is an exciting and fast growing space. At our core, we drive value for both our customers and the business by understanding how and why our users use our products. We are a highly collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Data Scientist Talent Acquisition | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will partner with other analysts to help support best-in-class talent acquisition with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the talent acquisition and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong then this role could be a great fit!
On your first day, we'll expect you to have:
3-5 years of experience in HR/recruiting analytics or closely related fields
Proficiency in reading and writing SQL queries
A strong intuition for crafting raw data and analysis into well-written and persuasive content
The ability to prioritize your time wisely against multiple competing projects and requests
Experience translating insights into decisions and actions that have a direct business impact
Comfort working with remote teammates and remote-friendly workflows
Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required, if you have:
Experience with HR and recruiting in high-growth companies
Experience with scripting and analysis languages (Python, R)
Experience with Git
Experience with providing analytics support for recruiters and leadership teams
Familiarity with statistics and probability
More about our team
Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to do things differently. Key to this growth is bringing in the right talent - and valuable analytics are paramount to that effort. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Group Manager Analytics And Data Science | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We’d love you to join us:
We're looking for an Analytics & Data Science leader (Group Manager) with strong business instincts, management experience, creativity, and analytics mastery. Someone who is passionate about applying these skills to lead multiple analytics teams, drive smarter product decisions, and ultimately delight our customers.
In this role you'll get to:
Collaborate with Atlassian’s product leaders to provide data-driven viewpoints on strategic decisions, identify high impact opportunities for analysis and align priorities with the company strategy and product roadmap
Lead a team of data science managers and plan insight and measurement roadmaps by collaborating with product partners, customer research, data engineers and other analysts
Design targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer value
Be part of building an outstanding analytics culture at Atlassian. 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 the first day, we'll expect you to have:
Extensive proven experience applying your analytics to initiatives which have had a positive impact on company level business and product decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality; with experience coaching teams to balance rigor, perfection and speed
Strong ability to influence; crafting compelling insights, explaining data science concepts to diverse audiences, and building decision confidence by sharing expertise of facts and uncertainties
Familiarity partnering with multiple business functions. For example; Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teams
Extensive previous experience in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in A/B experimentation
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
An understanding of SaaS business model and metrics
Previously worked in global teams and high growth companies
Are an active member of the broader analytics and data science community
More about our team
Product Analytics at Atlassian is an exciting, high growth and evolving space. At our core, we drive value for both our customers and the business by understanding how and why our customers use and love our products. We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Marketing Data Science Manager Smb And Monetization | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a best-in-class product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role could be a great fit! We're looking for a Manager with strong technical and leadership skills to lead our Marketing Data Science team for small businesses.
In this role, you'll get to:
Apply creative analytical problem solving skills to a wide variety of marketing questions to deepen our understanding of go-to-market performance, customer journeys, and campaign effectiveness.
Collaborate with leadership in marketing and cross functionally to provide a data-driven viewpoint on strategic decisions.
Build and lead a high performing team of analysts to provide insights and drive impact for Atlassian’s Marketing team.
Drive success of Atlassian’s small business go to market engine through best-in-class analytics
On the first day, we'll expect you to have:
6 + years of experience in analytics or closely related fields
1 + years of experience managing teams
A passion for building analytics frameworks to measure new and open ended business strategies
A proven track record for crafting raw data and analysis into well-written and persuasive content
The ability to prioritize your time wisely against multiple competing projects and requests
Comfort with structuring and coaching others to work through open-ended business questions through analytics
Advanced proficiency in SQL
A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required if you have:
Experience with small business marketing and low touch sales
Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
Experience with scripting and analysis languages (Python, R)
Experience with Git
Familiarity with statistics and probability
#LI-EW1
More about our team:
Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to doing things differently. We're able to distill highly complex analytical terminology and concepts into easily consumable language, and we interface directly with marketing teams to transmit that knowledge effectively. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Principal Data Scientist Confluence Performance | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Confluence is changing the way companies collaborate and share information. More than half of Fortune 100 companies, hundreds of thousands of teams, and millions of users use Confluence every day to get their jobs done, faster and more collaboratively. Join us as we unleash the power of teams all over the globe.
We are looking for a top-tier data scientist to work on Confluence product analytics. The role needs to manage a multi area within product analytics, with the possibility of having direct reports.
Product performance and scalability is the backbone of any B2B cloud products. On top of this, user’s needs for workplace collaboration products are fast evolving. Therefore, this role is multidisciplinary. You need to have the skills to dig deep into both performance and API data as well as usage data, connect the dots together quickly and communicate insights in a way that persuades action. Your product managers, UX designers, and full stack software engineers, lean on you for data informed decisions. Particularly for this role, you will have the opportunity to shape product roadmap.
On the first day, we'll expect you to have:
5+ years of experience in a product analytics function
Expertise in SQL and proficiency in Python
Thorough understanding of usage data creation process and experience of partnering with engineering teams for data tracking
Experience in designing and analyzing product experiments
Ability to turn complex findings into a compelling narrative and a set of actions
Track record of influencing decision-making using analytics
Background in Engineering or quantitative subject (e.g. Mathematics, Physics, etc)
It's great, but not required if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environments
Management experience
More about our team
Product Analytics at Atlassian is an exciting and fast growing space. At our core, we drive value for both our customers and the business by understanding how and why our users use our products. We are a highly collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Data Scientist Product Analytics | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We’d love you to join us!
We are looking for a Senior Data Scientist to join our Product Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
You’ll be part of Atlassian’s multi-discipline Agile & DevOps product organization whose mission is to enable our customers to connect every dimension of their work with greater visibility, organization, and impact through our industry-leading Jira Software.
In this role you'll get to:
Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product roadmap
Design targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer value
Drive the measurement culture and understand the impact our product strategy
Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
Be part of building an outstanding analytics culture at Atlassian. 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 the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling stories
Familiarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teams
Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
Previously worked in global teams and high growth companies
An understanding of the SaaS development, business model and metrics
Experience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organization
Experience in building ETL pipelines using any tools or scripting languages
Are an active member of the broader analytics and data science community
Advanced degree in Computer Science, Math or Statistics
More about our team
Product Analytics at Atlassian is an exciting, high growth and evolving space. At our core, we drive value for both our customers and the business by understanding how and why our customers use and love our products. We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
|
Senior Data Scientist Product Analytics Halp | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data? Do you enjoy using data to solve business problems and create customer value? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company? Then this role could be for you!
This role is a unique opportunity to work with a fast-moving team that joined Atlassian via acquisition and is growing quickly. You’ll be the first data scientist focused on this product, giving you the opportunity to build the entire analytics architecture from the ground up while working with a small, agile team. At the same time, you’ll be able to leverage the resources, brand, and scale of a global Fortune 100 company.
The product you will be focused on is Halp - one of Atlassian’s new products. Halp is a conversational ticketing solution for internal IT and operations teams using Slack and Microsoft Teams. The product impacts millions of employees at future-thinking companies like Peloton, Pinterest, and Unity. It is used to dramatically reduce ticket resolution times, increase user satisfaction, and amplify productivity. Our customers produce millions of interactions with the product every week, creating a treasure trove of valuable data.
In this role you'll get to:
Own the data analytics efforts for the entire Halp product.
Build out the data architecture, systems, and dashboards to enable everyone at the company to access and understand Halp’s data.
Work closely with the product, engineering, design, and marketing teams to ensure we are measuring the right things to make data-driven decisions.
Design targeted explorations of Halp’s product data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer value
Drive the measurement culture from understanding the big picture product strategy right down to the experiment implementation details.
Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
Be part of building an outstanding analytics culture at Atlassian. 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 the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
Strong ability to communicate, explain complex concepts to diverse audiences, and craft compelling stories
Familiarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teams
Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
Previously worked in global teams and high growth companies
An understanding of the SaaS development, business model and metrics
Experience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organization
Experience in building ETL pipelines using any tools or scripting languages
Are an active member of the broader analytics and data science community
Advanced degree in Computer Science, Math or Statistics
More about our team
Product Analytics at Atlassian is an exciting, high growth and evolving space. At our core, we drive value for both our customers and the business by understanding how and why our customers use and love our products. We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Email Marketing Data Scientist | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong this could be a great fit!
In this role, you'll get to:
Establish measurement methodologies to understand the value of email as a channel that contributes to acquisition, onboarding, cross sell and retention. Build business cases for investing additional resources into the email program.
Use experimentation methodologies, control groups etc. to measure the impact of email campaigns and suggest improvements to marketers.
Collaborate with our audience targeting and segmentation team to ensure customers are receiving consistent and meaningful messages.
Work with our Marketing Engineering and Data Engineering teams to improve the tools and data sets we have for the email channel.
Build & enhance reporting for marketers to monitor the performance of the email channel.
On your first day, we'll expect you to have:
5-7 years of experience in analytics
1-2 years of experience in email marketing
Advanced proficiency in SQL
A strong intuition for crafting raw data and analysis into well-written and persuasive content
The ability to juggle multiple projects and priorities
Experience collaborating with senior management and translating insights into decisions and actions
Comfort operating in ambiguous, fast-changing environments
Proficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
Proficiency in at least one marketing automation tool such as Market, Eloqua, Exact Target, etc.
A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required if you have:
Experience working in a global environment with remote teams
Experience with scripting and analysis languages (Python, R)
Experience with Git
Experience with providing analytics support for multi-channel campaigns
Deep knowledge of statistics and probability
An advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science
More about our team
Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to doing things differently. We're self-proclaimed unicorns that are able to distill highly complex analytical terminology and concepts into easily consumable language, and we interface directly with marketing teams to transmit that knowledge effectively. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Senior Manager Data Science | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Job description
Do you get excited by the challenge of scaling a fast-growing company through strong analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and solve problems nobody had solutions before? Are you enthusiastic about experimentation, fast learning and innovation?
We’re looking for a senior leader to grow a high-performing Workforce Analytics team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners with senior business leaders, identify opportunities and problems, test and measure hypotheses, build analytics and data science solution, and surface insights to drive transformative changes.
More about you
The perfect candidate will be a seasoned people leader with a background in applied statistics, economics or a related quantitative field. You have strong business acumen, you are comfortable with ambiguity and complexity, and you have experience working with senior leaders and cross functional teams. You are a self-starter, a strategic thinker, a data-driven problem solver, and a humble learner. You have demonstrated success in using data science to drive understanding, progression, and decision making for large organizations. You have domain knowledge in workforce analytics and people analytics.
In this role you will get to:
Hire, lead, and grow a team of data scientists with great technical skills, business acumen, and value fit
Partner with senior leaders to identify business opportunities and build KPIs
Partner with cross-functional teams (program management, workforce planning team, etc) to drive transformative initiatives and make impact
Be the thought leader to build analytics strategy, provide transparency of roadmap, and drive sprint planning
Build shared vision, empower a team of missionaries, and deliver high quality outcome
Drive actionable analytics insights, build data science solutions, and measure impact
Manage roadmapping, sprint planning, stakeholder engagement, and remove blockers when needed
Be a great communicator to share complexed ideas simple, advocate team's work and coach data storytelling
On your first day, we'll expect you to have:
8+ years experience as a people leader with proven success
15+ years experience in analytics and data science field
Success at hiring, managing, and growing a global team remotely
Strong business acumen and strategic thinking - when there is complexity and ambiguity, you can help your team identify the right problem to solve
Success at building a culture of data-informed decision making, fast learning and innovation
Strong communication skills to tell data stories to non-technical audience
Strong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentation
Experience applying advanced analytics knowledge to the real world
Roadmap planning, sprint planning, and project management skills
You have domain knowledge in workforce analytics and people analytics
It's great, but not required, if you have:
Experience in B2B, customer support, customer success
Experience in product analytics, people analytics
Experience with large data sets and distributed computing (Hive/Hadoop)
Experience in using Jira, Team Central, Confluence to manage and share team's work
More about our team
We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other constantly to improve our work and ask hard questions. We're direct, focused, and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly growing, learning, adapting, and trying new things. BBQ, tacos, and coffee are a few of our favorite things.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
|
Senior Marketing Data Science Manager | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you love examining complex data and turning it into useful information and insights? Do you love finding the next big ‘aha’ insight which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the world's hottest SaaS company?
Atlassian is looking for an Analytics Manager to join our Marketing Data Science team. We’re seeking someone with strong business instincts and analytics mastery, who is passionate about applying these skills to drive smarter data decisions and ultimately, delight our customers.
You'll be responsible for understanding and optimizing critical moments in our product buyer journey. You’ll do this by developing relationships with analytics and go-to-market specialists to understand the business and coaching a team of data-savvy analysts to develop insights and recommendations. Atlassian is a fast-paced, work environment and there are plentiful chances to create impact in this role.
In this role, you'll get to
Drive analysis that defines our product funnel from marketing to sales and provides insights into performance and business outcomes
Apply various data science methods to understand the most important aspects of our product go-to-market experience and buyer journey
Use your knowledge of multiple products and initiatives to meaningfully contribute to a shared Marketing Analytics Roadmap
Manage and coach a growing team of 5+ analysts in solving a variety of business problems
On the first day, we'll expect you to have
A U.S. Bachelor or higher degree, or its equivalent, in Computer Science, Information Technology, Information Systems Management or a closely related field of study
Experience managing teams of 3+ analysts and are keen to develop coaching skills
Excellent judgment and sharp business instincts to prioritize competing asks
Familiarity with a broad set of topics and subject areas within marketing analytics (e.g. campaign attribution/effectiveness, web tracking, customer lifecycle marketing)
Experience writing advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
Proficiency in at least one programming language (e.g. Python, R) as well as a visualization & business intelligence platform (e.g. Tableau, Looker, Mode)
It's great, but not required, if you have
Experience working in a global environment with remote teams
Experience within B2B marketing, growth, or sales analytics working with a field sales team
Experience across a broad set of statistical and machine learning methods to build descriptive and predictive models
Experience in schema design and dimensional data modeling and building data pipelines
Experience with operational tools and systems such as Marketo, Salesforce, or Segment
More about our team
The Marketing Analytics team has spent many years blazing new trails to enable Atlassian's most important growth decisions. We are constantly growing, learning, and trying to do things differently. We connect the dots from highly complex data to how our go-to-market teams can create impact effectively with that knowledge. We are thorough and dedicated to an agile methodology that enables timely decisions, while still ensuring quality work. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. For us, it is all about enabling Atlassian to grow by delivering data in the right way, at the right time, to partners across the company.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
|
Senior Marketing Data Scientist | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and technical creativity, you will empower marketing leaders to quickly and accurately measure the impact of our initiatives. We're growing quickly, so you'll need to define, implement, and scale the systems and processes for delivering insights to colleagues across the marketing organization. You'll be a phenomenal fit for this role have a strong bias towards action and enjoy finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong.
On your first day, we'll expect you to have:
5-7 years of experience in analytics/data science fields
Advanced proficiency in SQL
Ability to measure the impact of marketing tactics like paid digital ads, emails and website experimentation on business results
A deep understanding of Enterprise SAAS business models and metrics like Pipeline, MQLs, SQLs etc.
Experience collaborating with senior management, translating data-driven insights into decisions and actions
Comfort operating in ambiguous, fast-changing environments
Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker etc.
It's great, but not required if you have:
Experience in using at least one scripting language (Python, R, HTML, etc.)
Experience with Git and the ability to work comfortably with a command line interface
Proficiency in at least one marketing automation tool such as Marketo, Salesforce etc.
Deep knowledge of statistics and experimentation
An advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
|
Senior Marketing Data Scientist Agile Devops | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We'd love you to join us!
We are looking for a Senior Data Scientist to join our Product Marketing Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
You’ll be part of Atlassian’s multi-discipline Agile & DevOps product organization whose mission is to enable our customers to connect every dimension of their work with greater visibility, organization, and impact through our industry leading Jira Software.
In this role, you'll get to:
Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product marketing roadmap
Develop comprehensive program and product views of go-to-market performance by defining customer journeys, measuring product performance and making strategic recommendations for improvement
Drive the measurement culture and understand the impact our product marketing strategy
Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
Be part of building an outstanding analytics culture at Atlassian. 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:
Proven experience applying your analytics skills to projects which have had a positive impact to company level business decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling stories
Familiarity working with Product Marketing, Customer Research and Data Engineering teams
Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
Proficiency in at least one vizualisation tool (e.g. Tableau, R-Shiny)
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's great, but not required if you have:
Previously worked in global teams and high growth companies
An understanding of the SaaS development, business model and metrics
Experience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organization
Experience in building ETL pipelines using any tools or scripting languages
Are an active member of the broader analytics and data science community
Advanced degree in Computer Science, Math or Statistics
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Senior Marketing Data Scientist Buyer Experience | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations.
We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
In this role, you'll get to:
Use data to make sense of complex buyer journeys. Analyze how customers navigate our marketing websites and identify opportunities for improvement.
Report on KPIs for www.atlassian.com. Research and explain trends and their impact on the success of the overall business.
Apply advanced statistical techniques and causal inference methods to design and analyze web experimentations (i.e. A/B testing, quasi-experimentation, statistical tests, Bayesian experimentation, etc.).
Contribute to experimentation best practices and standards across marketing.
Ensure a high standard for web tracking and data collection/quality.
Collaborate with engineers, marketers & senior leadership to bring data to the forefront of business decisions.
On your first day, we'll expect you to have:
5-7 years of experience in analytics
2-3 years of experience in e-commerce, web analytics, buyer journeys
Deep understanding of statistical techniques for experimentation
Advanced proficiency in SQL
A strong intuition for crafting raw data and analysis into well-written and persuasive content
The ability to juggle multiple projects and priorities while maintaining the highest standard of work and attention to detail
Experience collaborating with senior management and translating insights into decisions and actions
Comfort operating in ambiguous, fast-changing environments
Proficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required if you have:
Experience working with international teams
An understanding of Enterprise SAAS metrics and measurement techniques (MQLs, SQLs, Lead Scoring)
Experience with scripting and analysis languages (Python, R)
Experience with Git
An advanced degree in a quantitative discipline such as statistics, economics, mathematics, or computer science
#LI-EW1
More about our team
Atlassian is over a decade old, but the Marketing Analytics team is much younger. We blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to do things differently. We're self-proclaimed unicorns that are able to distill highly complex analytical terminology and concepts into easily consumable language, and we interface directly with marketing teams to transmit that knowledge effectively. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Staff Data Scientist | Shift |
About Shift:
We believe car buying should be fun, fair, and accessible to everyone. We’ve set out to transform an industry, using technology to bring transparency and convenience to the car buying process.
And we aren’t stopping there. We seek to bring that same openness and simplicity to car ownership too, with payments, maintenance, and insurance in one easy app. At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
About the role:
Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy, you will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Sr. Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning. You lead by example and foster a culture of technical excellence, humility and lifelong learning.
This is an opportunity to join a fantastic team at a hi-tech fast-paced Silicon Valley company which is transforming an entire industry. You will report to the Director of Data Science. We’d love to talk to you about what great things you’ll do here.
What you'll do:
Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.
What we ask for:
Passion for data, technology and people.
PhD or Masters in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis
Expert in Statistical Studies
Nice to have:
Databrick experience
Redshift experience
Experience with monitoring and instrumentation tech and vendors such as Segment, New Relic, Datadog, Pingdom and PagerDuty.
Who We Are
At Shift, we’re all about growth - which means people who are eager to grow, who are ready to roll up their sleeves and learn new things. We were founded by a scrappy group of visionaries who were by no means “car experts” - so we don’t expect you to be one, either!
We’ll take the open-minded go-getter over the pure subject matter expert any day. In that spirit, we also care about building a diverse and inclusive workplace and company. To put it simply, cars are meant for everyone, so we believe our company should be, too. We never discriminate against any candidate on the basis of gender, sexual orientation, gender identity, age, race, ethnicity, religion, color, national origin, marital status, veteran status or disability status. We welcome and encourage people of all backgrounds and walks of life to apply, even if you’re unsure if you meet all the requirements. (Even if this particular role isn’t the right fit, chances are we will have the right one soon!)
Why Join Now?
Having gone public in October 2020, we are at the beginning of our journey and hope you join us for the ride! Shift is a leading end-to-end auto e-commerce platform transforming the used car industry with a technology-driven, hassle-free customer experience. Shift’s mission is to make buying or selling a used car fun, fair, and accessible to everyone. We provide comprehensive, digital solutions throughout the car ownership lifecycle: finding the right car, having a test drive brought to you before buying the car, a seamless digitally-driven purchase transaction including financing and vehicle protection products, an efficient, digital trade-in/sale transaction, and a vision to provide high-value support services during car ownership.
Website | Facebook | Instagram | Twitter | LinkedIn | About Shift (Team)
Shift is an Equal Employment Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
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Lead Marketing Data Scientist | Ezcater |
ezCater is the world’s largest online marketplace for catering – a $60+ billion market just in the U.S. Businesspeople use us to find and order great food for meetings and events; restaurants and caterers use us to grow their catering business. We’re backed by world-class investors including Insight Partners, Iconiq Capital, and others, and in early 2019 were valued at $1.25 billion. COVID slammed us, but we responded by finding new customer segments and seizing the rare opportunity COVID offered: when in life does a very successful operation get a do-over? Come help us power Food For Work even better than we did it the first time.
Are you passionate about data? The Marketing team at ezCater serves hundreds of thousands of professionals feeding their teams with our platform - with data at the heart of decision making and strategic growth. We are expanding our Data Science capabilities across the team. Applying advanced statistical and Machine Learning methods to key optimization spaces, such as pricing, customer targeting, demand elasticity and LTV optimization, this role is critical to our mission of continuously improving the outcomes we provide to our customers.
As a member of the Marketing Data Science team and leader of our Data Science guild, you will be working closely with the business partners to address high-value and high-visibility problems while serving as a leader and mentor to Data Scientists serving multiple functions across the business. Data Scientists at ezCater leverage a diverse set of educational and professional backgrounds to bring creative solutions to our business’ largest opportunity spaces. We leverage a modern ML Operations stack (including AutoML tools where appropriate) and strong business partnership to ensure our work doesn’t end with a report, but lives in our product and decision making processes over the long term.
What You'll Do:
Leveraging a modern Data Science/ML Stack, use advanced analytical, modeling and simulation techniques to develop insights and systems that improve our ability to serve our customers and catering partners efficiently.
Expose patterns across structured and unstructured data to identify business opportunities, working with business partners on problems that will materially benefit our customers and our results.
Focus on end-to-end problem solving, working with business analysts and BI teams on exploratory analysis and Operations and Software engineering teams to productionalize model outputs.
Proactively identify opportunities for the application of Advanced Analytics and Machine Learning across the catering partner business - serve as an advocate for continuous improvement across the analytics space.
Serve as guild lead for a team of business-facing Data Scientist across the business. Mentor, coach and develop operating constructs to ensure Data Science at ezCater is implemented consistently and in an industry-leading manner across both notebook-based and AutoML solutions.
Contribute to ezCater’s culture of personal and professional growth by leading projects with multiple stakeholders and mentoring others in this valuable field.
What You Have:
Experience with both natural and controlled experiment design and a proven ability to solve and communicate complex problems using both technical skills and creativity.
Expertise and prior experience applying Python, R or similar programming languages within statistical modeling and ML spaces.
Experience working with common Python tools (e.g. Scikit-learn) and AutoML software (e.g. DataRobot) preferred.
A proven ability to apply a scientific approach to building models, evaluating statistical outcomes and continuous improvement of your work
Proficiency in SQL is required.
A background in modern programming languages is preferred.
Experience coaching Data Scientists and analytical professionals at levels of experience ranging from early career to principle. Ability to work independently and collaboratively.
Our data stack is comprised of Snowflake, DBT, Stitch, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker. Any experience with the above is a nice-to-have.
Our AutoML Platform is DataRobot. Experience in the tool is a nice-to-have.A sharp mind, a soft heart and a large funny bone.
Starting Salary Range: $134,000- $160,000
ezCater does not sponsor applicants for work visas or legal permanent residence.
What you’ll get from us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.
Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.
Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) once we get back to our offices, and knowing that you helped get this rocket ship to the moon.
ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.
For information on how ezCater collects and uses job applicants' personal information, visit our Job Applicant Privacy Policy.
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Growth Scientist Woocommerce | Automattic |
Growth Scientists at WooCommerce sit at the intersection of marketing, product, and data science. They work closely with marketers and engineers to turn the available data into analyses, insights, and hypotheses that can:
increase activation and reduce churn through improved customer messaging and product placement across the customer lifecycle.
reduce the time it takes to make decisions across Marketing, Sales, and Product teams thanks to improved analytical capabilities.
increase Marketplace revenue through tailored product bundles and personalization.
In this role, you will use customer and product data across multiple channels to identify target audiences for tailored messaging, design and evaluate experiments to measure the incremental lift of marketing activities, and perform ad hoc analyses, such as predictive modeling, time series modeling and classification, to measure impact and inform business decisions.
Key Responsibilities:
Own marketing performance data as a whole across all channels, ensuring that metrics are consistent and our measurement is robust.
Analyze channel and product data to uncover meaningful insights and opportunities that lead to growth.
Design and analyze marketing growth experiments in collaboration with the team.
Validate tracking and data collection to ensure accuracy and consistency.
Empower the team to make effective decisions using data through internal tooling, dashboards, funnels and other reporting.
You:
Have at least 5 years of experience in a similar role.
Are a robust, proactive communicator comfortable with managing multiple priorities.
Have extensive experience measuring incrementality, including designing and running A/B and multivariate tests.
Have excellent quantitative research skills and experience applying statistical modeling, clustering, classification, and other analytical techniques in a business context.
Deeply understand business drivers to craft automated, easy to use reports and data visualizations in our BI tool (we use Looker).
Are a hands-on contributor and implementer, with proficiency in SQL.
Have programming experience with Python, R, or PHP.
Have experience using agile development tools (e.g., GitHub, Trello).
Have experience with data integration, connectors, and related APIs.
Have a deep knowledge of digital marketing concepts, channels, strategies, and related data outputs (including web analytics).
How to Apply
Sound exciting? Click the Apply button below and fill out our application form.
In your cover letter, please let us know what you can bring to the team AND please answer the following question:
Tell us how you approach balancing scientific rigour against the need to execute quickly.
About Automattic
We are the people behind WordPress.com, WooCommerce, Tumblr, Simplenote, Jetpack, Longreads, Day One, PocketCasts, and more. We believe in making the web a better place.
We’re a distributed company with more than 1800 Automatticians in 95 countries speaking 90+ different languages. We democratize publishing and commerce so anyone with a story can tell it, and anyone with a product can sell it, regardless of income, gender, politics, language, or country.
We believe in Open Source and the vast majority of our work is available under the GPL.
Diversity, Equity, and Inclusion at Automattic
We’re improving diversity, equity, and inclusion in the tech industry. At Automattic, we want people to love their work and show respect and empathy to all. We welcome differences and strive to increase participation from traditionally underrepresented groups. Our DEI committee involves Automatticians across the company and drives grassroots change. For example, this group has helped facilitate private online spaces for affiliated Automatticians to gather and helps run a monthly DEI People Lab series for further learning. Diversity, Equity and Inclusion is a priority at Automattic, though our dedication influences far more than just Automatticians: We make our products freely available and translate our products into and offer customer support in numerous languages. We require unconscious bias training for our hiring teams and ensure our products are accessible across different bandwidths and devices. Learn more about our dedication to diversity, equity, and inclusion and our Employee Resource Groups.
Apply for this Job
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Senior Data Scientist | Abl |
Overview
Abl believes every student deserves the opportunity to make informed and meaningful choices about their life and future. Unfortunately, many students aren’t given the same opportunities due to systemic inequities. Abl offers advanced, data driven software and services to help K12 schools and districts identify and remove those inequities. We are currently doing this work with some of the largest districts in the country, such as Los Angeles Unified, New York Dept of Ed, Portland Public Schools, Denver Public Schools, and the state of Washington.
The Abl team is made up of veteran school leaders, district-level decision-makers, and teachers working together with veteran software engineers, designers, and data scientists.
We are looking for an experienced data scientist who will be a key innovator in leveraging data to provide robust recommendations and product features that positively impact students and teachers. Your contributions will have a meaningful impact on the lives of students across the country.
You’re excited about this role because...
You will frame and develop impactful and statistically sound insights, metrics, reports, and recommendations to improve student outcomes and equity.
You’ll take analyses and models from prototype to production using standard tools like SQL, Python/pandas, R/tidyverse, dbt, and Mode Analytics. These will power data visualizations in internal and customer-facing dashboards, real-time analysis and recommendations in our scheduling SaaS product, and presentations to stakeholders.
Your work will be supported by a data science platform that enables direct contribution to analytics and production data pipelines in SQL and Python.
You will report to the Head of Data Science and collaborate with our product and engineering teams as well as in-house experts in education.
We’re excited about you because...
You’re impact focused and autonomous: You excel at framing the larger question and identifying areas where data science can provide added value.
You can span the data science stack: You’ve done extensive analysis and modeling in a data-centric environment using Python/pandas or R/tidyverse, SQL and ETL pipelines, and you have experience taking these to production with the help of data platform tools.
You’re a steward of rigorous and responsible statistics: You have deep statistical intuition and experience developing high-impact models that impact individuals. You’re comfortable interpreting and applying academic research.
You value strong communication: You enjoy and excel at communicating complex findings in a simple, approachable way for technical and non-technical audiences alike. You effectively communicate your opinions to peers with expertise, humility, and kindness.
You have a growth mindset: You welcome feedback and new ideas and cultivate a collaborative environment.
Company Culture
Abl employees share a passion for revolutionizing education through school design, whether or not they have prior experience working in the field. We value diversity of background and thought. We strive to create a safe and supportive environment where trust, communication, creativity, and humility are valued as highly as technical skills. We believe shared ownership builds a more resilient company, and we tackle hard problems, together. If that sounds like your dream work environment, we look forward to hearing from you.
A Note to Candidates
Studies have shown that women, people of color, and folks from other groups underrepresented in technology are less likely to apply for jobs unless they believe they check all the boxes in a job description. We are most interested in finding the best candidate for the job, and that candidate may be one who comes from a less traditional background. If you think you’re a good fit, we encourage you to apply, even if you don't meet every one of our qualifications.
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Ab Testing Data Scientist | True Fit |
Who We Are
True Fit is the industry's leading consumer experience platform leveraged by apparel and footwear retailers to decode fit and size and connect shoppers with only what they love. It has organized and connected the broadest footwear, apparel and consumer data in the world to provide best in class fit recommendations covering the industry’s brands and styles. The platform unites social, general and personalized fit guidance into one cohesive experience, driving shopper confidence and loyalty.Through serving shoppers across its network of retailers’ websites, True Fit delivers rich datasets back to retailers to inform their strategies and initiatives - from marketing and merchandising to sourcing and product development. These data sets serve a tremendous need in today’s shifting market - who is this new shopper and how can they be met with relevance?True Fit is led by an experienced team of executives and leaders from fashion, retail, big data and ecommerce, and is backed by top investors.
True Fit is looking for an AB Testing Data Scientist to work with our team in the US. True Fit is 100% remote, so you can work from almost anywhere!
Data Scientist - AB Testing & Statistics Specialty
True Fit is searching for a Data Scientist with expertise in statistics & online A/B testing to be an important part of our Data Science & Engineering department.
You’ll be driving several projects, which include:
Collaborating with product management to optimize the performance of all aspects of our user experienceProviding guidance, analyses, and interpretations of A/B Tests to internal and external clientsProviding statistical expertise to ongoing projects, including explaining statistical concepts to internal and external stakeholdersDeep investigations to solve unstructured/ambiguous problems including discovering unknown issues or trends that can influence product performance and our future roadmap
We use typical data science tools including: Python, Pandas, PySpark, SQL, Jenkins, Jupyter, Databricks, etc.
Communication with other teams is very important in this role and we are looking for someone with excellent communication skills in written and spoken English. We work closely with product management, data science, sales, and customer success - and we work internationally. We’re looking for someone who can communicate technical ideas to non-technical people and who works well as part of a team.
Education:
A Master’s degree in a quantitative field with statistical and experimental focus, or equivalent work experience.Minimum of 2 years of work experience
Other requirements:
Knowledge of and comfort using statistics (e.g., t-tests, Monte Carlo Simulations, understanding of power & confidence)Experience in designing, analyzing, interpreting, & debugging online A/B tests
Nice to have:
Advanced proficiency in SQL (Hive, Postgres, etc.) as well as experience using Python Pandas, R, or other powerful statistical analytics packages & toolsExperience working with third party A/B testing tools.Experience with big data/ distributed data tools
Why True Fit?
One size does not fit all in what you wear or your True Fit career. Everyone at True Fit has the opportunity to push their professional boundaries, while balancing personal ambitions.
We believe that how we dress is an expression of who we are and the confidence we feel. As an EEO employer, we work to help all team members experience an inclusive, diverse and accepting work environment, so you can be True To You.
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Senior Data Science Manager Customer Support | Shopify |
About the role
We are looking for a Senior Data Science Manager to be part of and lead a team of Data Scientists that partners with our Customer Support Delivery, Service Design & Support Technology teams. The Customer Support Org is the largest organization within Shopify and deeply cares about merchant success through impactful self help & live help interactions with our customers. Access to Shopify’s Support is cited as one of the major reasons for merchants to choose and stay with Shopify as they scale their businesses. The Support org is there to help our merchants from early in their entrepreneurial journey right from helping choose the right plan to all the way as they scale and provide sophisticated business coaching sessions. Support Data Science is a key enabler here and our Mission is to use data to enable all Merchants to have highly relevant, highly satisfactory & value accretive interactions with self-help and live-help.
What your role will look like:
Working closely with an interdisciplinary team, you and your team will be responsible for the evolution of Customer Support tools & technology using data for decision support (conversations tools for email, chat & phone interactions, self help tools such as Help Center Search & Concierge, Community & Social support tools, etc. etc.) across all surfaces that merchants interact with. Your team will focus on developing strong data foundations, data-driven products, and reporting and experimentation frameworks to empower the Support organization to make great decisions quickly.
Qualifications
You will need to have:
Team development: You’ll need a demonstrated track record of attracting top data professionals (data engineers, data scientists, ML engineers, statisticians, etc.), developing those people (both ICs and managers) to make them even better, and managing the growth of teams. You have several years of experience managing and scaling multiple teams.
Data Experience at scale: You’ve been a leader in companies where data science was used on top of massive data sets to drive product/business decisions and resulted in powerful data products. You have extensive experience with languages like SQL, Spark, and Python.
Analytics expertise: You’ll need to be amazing at coming up with new, meaningful metrics to measure the success of our operations; you'll be equally strong at making sure the data needed to support those metrics are available. You have multiple years of experience managing decisions at scale, including causal inference and experimentation.
Well-balanced skills: People have trouble pinning you down. Business, product, and technical teams claim you as their own. You are equal parts technical and functional (and both are exceptionally strong), and you are equally comfortable and effective at presenting to technical or business leaders.
Passionate about business strategy: You’ve experienced and thrived in similar channel-related environments and have a knack for working with business users that are responsible for top-line growth.
Key technology stack and tools we work with:
Python
SQL
Spark
Google Cloud Platform
Mode/Tableau
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Quantitative Analyst | Mythical Games |
We are Mythical Games. A venture-backed next-generation game technology company at the intersection of video games and economics led by industry veterans. Our goal is to lead the industry with the launch of exceptional video game experiences that leverage distributed ledger technology while also providing a platform of robust tools that will allow any other game developers to do the same.
We are seeking a Quantitative Analyst to join our growing marketplace team of quants, developers and product leaders. This role will be primarily responsible for the design, development and operation of pricing and market-making algorithms across a growing portfolio of digital assets. We are looking for someone who is passionate about data, and knows how to solve problems using a mix of economic theory, quantitative modeling and their industry experience in a financial or ecommerce setting.
Responsibilities:
Develop, monitor, and improve algorithms that provide liquidity on our marketplace; including models for asset valuation, pricing and fee optimization
Develop causal and predictive models to estimate supply and demand and improve fundamental understanding of the market
Design, execute and evaluate pricing and economic experiments
Analyze and assess new sources of internal and external data
Collaborate with product managers and ML engineers to productize data solutions
Basic Qualifications
Bachelor's degree in a technical field with exceptional academic credentials (e.g., Mathematics, EE/CS, Statistics, or Operations Research)
Intermediate to advanced Python development skills
Experience working with Python scientific computing packages (NumPy, SciPy, pandas, sklearn, PyTorch, JAX)
Proficiency with SQL
Knowledge of optimization methods, statistics, econometrics, and machine learning
Experience contributing to risk and profitability decisions in a marketplace or ecommerce setting
Preferred Qualifications
MA/MS. in a technical field such as Mathematics, Statistics, Economics/Finance, EE/CS, or Operations Research, or bachelor’s degree with 1-3 years of experience in a similar role
Familiarity with the GCP suite, including BigQuery, Composer, and Cloud Functions
Interest in and proficiency with blockchain solutions
Passion for video games
Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to [email protected]. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.
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Data Scientist Germany | Dataiku |
Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 900 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.
Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab, ask us about it!
As a Data Scientist at Dataiku, you will have the opportunity to participate in our customer's journey, from supporting their discovery of the platform, it's installation and configuration, to training users and co-developing data science applications, from design to deployment.
You will get hands-on experience coding in multiple languages and applying the latest big data technologies to business uses cases.
Our ideal candidate is comfortable learning new languages, technologies, and modeling techniques while being able to explain their work to other data scientists and clients.
What you'll do...
Co-develop data science projects with our customers
Crunch, analyze and investigate various kinds of data, across industries and use cases
Explore new machine learning algorithms, and apply them to real-world business applications
Deploy Machine Learning models to production, and develop its integration or front-end (e.g. a predictive webapp)
Help users discover the Dataiku platform and to master its use by providing trainings to users with a wide range of backgrounds and skill levels (data science, IT, analysts, managers, etc…)
Communicate results to non-technical colleagues and clients
Provide data science expertise to customers and internally to Dataiku’s sales, marketing, and R&D teams
Who you are...
Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
2+ years of experience with R or Python
2+ years of experience with predictive modeling
Familiarity with data visualization in Python, R or JavaScript
Understanding of relational data structures and SQL
Fluent German is required
Bonus points for any of these
Experience with PySpark, SparkR or Scala
Experience developing WebApps
Experience building APIs
Experience with cloud infrastructures, especially Kubernetes
Passion for teaching or public speaking
Benefits
Exposure to a wide range of enterprise customers across industries. Examples of Dataiku’s hundreds of customers include GE, Unilever, Comcast, Ubisoft, OVH, Santander, and Capgemini.
A wide diversity of projects and tasks ensures that no two days will be alike
Opportunity to contribute to the core vision of our company and product: simplify and democratize the way people work with data and use Artificial Intelligence
Exposure to the latest, open-source technologies that Dataiku integrates. See here our release notes for our latest developments.
Trips in Europe and worldwide for company-wide and team summits
Opportunity to work with a smart, passionate and driven team in hypergrowth mode
Please make sure to submit your resume in English
#LI-Remote
About Dataiku:
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Director Of Biomedical Data Science | Pathai |
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do.
The biomedical data science (BDS) team is focused on solving problems at the interface of biomedicine, statistics, and machine learning. The BDS team is composed of a diverse set of scientists with a wide range of backgrounds and experiences, who are passionate about solving translational problems and driving PathAI’s mission of realizing precision medicine with digital pathology. Biomedical data science is central to this effort contributing to efforts ranging from the development of novel machine learning methods to experimental design for model validation. We are looking for a Director of Data Science to lead these efforts at PathAI.
What you’ll do:
Facilitate the development of bio-statistical analysis plans in a team setting with a diverse set of stakeholders
Build and grow the BDS team through hiring, management, and mentorship. .
Operate cross-functionally to enable PathAI to integrate large-scale datasets and generate translational insights.
Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products
Envision and create scalable computational solutions and processes to further our clinical data analysis. Develop materials with members of the team to present at academic conferences, publish in journals, and develop new business opportunities.
What you’ll need:
Ph.D. in computational biology, biostatistics, bioinformatics, biomedical engineering, cancer biology, immunology, genetics, or similar with 5+ years of industry experience
Demonstrated history of leadership in managing high impact data science and engineering projects and teams either in business or in academia.
Demonstrated ability of scoping, leading, prioritizing, and contributing to multi-disciplinary team projects.
Familiarity with programming languages such as R AND Python for complex data analysis and reproducible research practices.
Mastery in integrating and analyzing diverse high-dimensional data sets relevant to oncology, immunology, and other areas of clinical relevance.
Capability to conduct systematic analyses to evaluate multiple hypotheses and prioritize clinically-relevant questions.
Scientific curiosity with an ability to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively.
Background in clinical data/oncology/immuno-oncology and/or experience working with clinical trial data is a plus.
Benefits
For the right candidate, we'll offer a competitive salary plus equity. Your compensation is rounded out by a strong benefits package:
Flexible work hours, with work-from-home options available
Three weeks of paid leave per year, an additional two weeks of sick time, plus extended holidays and team-approved leave
Ten days of 100% subsidized childcare per year
Healthcare, vision, and dental insurance plans (HMO or PPO), with voluntary add-ons available for dependent care, life, and accident coverage
Commuter benefit available for public transit or parking
Most importantly, you'll be doing important work with a team of people you'll genuinely enjoy spending the day with.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
PathAI does not accept unsolicited submissions from third-parties.
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Biomedical Data Scientist Summer Internship | Pathai |
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.
We're looking for Biomedical data science interns to join our team and help us solve and achieve our translational research goals.
What you’ll do:
Understanding PathAI’s products and strategic goals, and working towards those goals by innovating on our methods with respect to model performance, translational relevance, rigor, and robustness.
Developing the statistical software that powers retrospective biomarker discovery in clinical trials and prospective evaluation of models at PathAI.
Performing translational research and the development of novel algorithms that enable us to quantify novel morphologic features.
Participating in scientific discovery, which leverages existing products to develop publications which reveal novel disease biology.
Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative deep learning tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside leading innovators in the field of deep learning and medicine, and play a critical role in algorithm development. Unlike other internships, the majority of your time will be focused on doing our most impactful work in the machine learning space.
What you’ll need:
Intellectual curiosity and the ability to learn quickly in a complex space
pursuing master’s degree or PhD in computational biology or related field, preferably with a focus on computational pathology, machine & statistical learning, and/or biostatistics.
At least one+ years of relevant work experience
Computational science software development experience using Python or R
Benefits:
Flexible work hours
Your choice of computer equipment
Fun team events especially for interns
Mentorship from statistics and machine learning experts at PathAI
You will have the opportunity to work in a company culture that puts employees first, is relaxed, focused and hard-working.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
PathAI does not accept unsolicited submissions from third-parties.
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Biomedical Data Scientist | Pathai |
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. Data Science and biostatistics play central roles in this effort. We are looking for a Data Scientist to lead these efforts at PathAI.
What you’ll do:
Lead biostatistics efforts in a team setting of fellow scientists and machine learning engineers
Cross-functional collaboration with other teams to integrate large-scale datasets and use bioinformatics to define the factors associated with drug response and resistance
Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products
Identify scientifically relevant findings within datasets spanning multiple modalities
Develop scalable computational solutions to further clinical data analysis automation across projects
Communicate findings both internally and externally and recommend follow up actions
What you’ll need:
Ph.D. in bioinformatics, engineering, statistics, biostatistics, biomedical engineering, cancer biology, immunology, genetics, or similar with 3+ years of industry experience or strong academic record.
Demonstrated ability of contributing to multi-disciplinary team projects.
Expertise with programming language such as R AND Python for complex data analysis and reproducible research practices.
Mastery in integrating and analyzing diverse high-dimensional data sets relevant to oncology, immunology, and other areas of clinical relevance.
Capability to conduct systematic analyses to evaluate multiple hypotheses and prioritize clinically-relevant questions.
Scientific curiosity with an ability to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively.
Excellent problem-solving and collaboration skills.
Strong communication, data presentation, and visualization skills.
Strong publication record.
Background in clinical data/oncology/immuno-oncology and/or experience working with clinical trial data is a plus.
Benefits
For the right candidate, we'll offer a competitive salary plus equity. Your compensation is rounded out by a strong benefits package:
Flexible work hours, with work-from-home options available
Three weeks of paid leave per year, an additional two weeks of sick time, plus extended holidays and team-approved leave
Ten days of 100% subsidized childcare per year
Healthcare, vision, and dental insurance plans (HMO or PPO), with voluntary add-ons available for dependent care, life, and accident coverage
Commuter benefit available for public transit or parking
Most importantly, you'll be doing important work with a team of people you'll genuinely enjoy spending the day with.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
PathAI does not accept unsolicited submissions from third-parties.
With the rise of employment phishing scams, especially during the current COVID-19 situation, we ask candidates to be extra vigilant. Be careful about providing any kind of personal information, such as location, age, or financial information to recruiters who may be impersonating PathAI employees. PathAI does not require payment for interviews or for applicants to purchase their own work supplies for reimbursement.
#LI-Remote
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Data Scientist Marketing | Figma |
We are looking for a Data Scientist to partner with our Marketing teams to accelerate growth at Figma. In this role, you will be responsible for building models to optimize our marketing efforts, uncovering insights to guide new strategies, and collaborating with a variety of cross functional peers to help leverage data throughout the organization. The ideal candidate will have a strong track record of executing analytical projects as well as partnering closely with business peers to guide decision making.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Refine attribution logic and create data-backed approaches to measure effectiveness of marketing spend
Design and evaluate conversion lift experiments to optimize campaigns and measure their incremental impact
Perform impact analysis and modeling for a variety of different marketing initiatives and projects
Evaluate and size the projected impact of new marketing strategies and how they connect to broader company goals
Develop and maintain datasets, KPIs, and reporting tools for the entire Marketing organization
We'd love to hear from you if you have:
2+ years relevant work experience supporting a Marketing or similar function
Fluency in SQL
Proficiency in Python, R, or similar scripting language
Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)
Firm knowledge around statistical methods and experiment design
Excellent judgment and problem solving skills
A self-starting mindset along with strong communication and collaboration skills
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Read more about our team
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D: The Decade of Design
Figma's engineering values
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Data Science Manager | Trueaccord |
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
Your Role:
TrueAccord is looking for a Data Science Manager to head its growing data science team.
You will join a team dedicated to creating a data-driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collection process for our consumers, lead automation initiatives in the company, and help create insights to better understand our product and performance.
We’re looking for a driven, hands-on data science manager to lead, mentor and manage contributors on the team. You should have an excellent grasp of core machine learning techniques, possess a product-focused mindset, and a track record of growing and empowering data scientists to drive business value through modeling and experimentation.
You will work cross-functionally with Product Management, Engineering, and the business at large to identify trends and drive opportunities. Importantly, you will help to strike the optimal balance between research into new areas and practical application of those insights.
What You'll Do:
Build and lead the data science team to deliver world-class products
Lead the technical strategy of the data science team
Drive for shared context and understanding with the business
Oversee modeling efforts, from providing code reviews to launch support
Drive for impact and accountability
Grow the team’s capabilities through education and tooling
Roll up your sleeves to code, build and integrate models as needed
You have:
Previous experience as a manager of data scientists and ML engineers
Strong sense of partnership with business leadership
Drive to educate both scientists and the business to achieve goals in common
Experienced at building, productizing and iterating models
Advanced degree in quantitative studies or computer science
Strong foundational skills in Python, pandas and SQL
Ideally, you also have:
Solid understanding of experiment design
Experience with natural language processing techniques
FinTech background
Benefits, Perks, and Culture
- Everything you need to work remotely
- Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance
- Family-friendly policies - parental leave, remote positions
- Unlimited PTO
- Transportation benefits
- Employee assistance program (EAP) + Wellness Coach for you and 5 others
- Paid time off to do volunteer work in your community!
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Senior Data Scientist | Medium |
At Medium, words matter. We are building the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers.
We are looking for a Senior Data Scientist who will help us build a new future for the written word on the web as part of a team that translates data into actionable insights. Broadly, Data Scientists at Medium focus on analysis — interpreting data, sharing insights, and developing models that improve the product.
We work together to analyze patterns at a macro level, answering questions the rest of the company hasn’t thought to ask yet.
You’ll spend most of your time working on a product team: a group of engineers, designers, a product manager, and you, the Data Scientist, all working together in a small group to build new features.
You’ll extract key data and findings, define metrics, evaluate A|B tests, identify opportunities based on the data, and share new insights that no one considered before. You’ll bring data to bear on a set of thorny questions at the intersection of tech and media, helping us grow our ecosystem of readers and writers and build a new economic model for written content.
Day to day, you will:
Be a strategic partner to a diverse range of stakeholders in editorial, engineering, marketing, and product management, generating data-driven insights to influence the direction of our product roadmap and critical operating decisions.
Partner with the organization to define our goals and the portfolio of metrics to measure performance against
Identify the level and cadence of information needed to operate key business areas and build dashboards and reports to drive decisions.
Leverage a range of sophisticated ML techniques to uncover deeper insights about our users and content
Design and analyze experiments to answer key business questions.
Build data pipelines and models that enable incisive analyses and performant data visualizations
Provide mentorship and guidance to team members, identify and recommend best practices, and help level up overall team capabilities
Be a champion for Data Science and evidence-based decision-making throughout the organization, educating and advocating for its use.
Requirements:
6+ years of experience doing quantitative analysis and ML at a consumer-facing technology company
Experience with stakeholder management; effectively driving shared priorities and persuading through storytelling with data
Strong Python skills at running data analytics using Pandas, Jupyter Notebook, and the Python ecosystem
Experience writing and optimizing complex SQL queries on large data sets
Experience with data pipeline, from data preparation to analysis to deployment
Strong in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design)
Skilled in building machine learning models, including classification models, natural language processing, and training models on large data sets
Experience manipulating large data sets through SQL, Python
Skills & Experience that is "Nice to Have" includes:
Experience leading others in a data/analytics function
Experience developing in Looker
Natural Language Processing (NLP) with large data sets
Experience in big data technologies like Spark
Experience with production model deployment in cloud environments like AWS
Management consulting or similar internal strategy experience
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.
Interested? We'd love to hear from you.
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Data Scientist Tx Adobe Auto | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Responsible for Customer acquisition via digital channels experience. Responsible for Personalization outreach to customers Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Bachelors Degree in Data Science, Computer Science, or related field 3+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Experience with Adobe Auto Target Software or similar software like Adobe Sensei, Adobe Analytics, Adobe Marketo Engage, AB Tasty, Google Optimize, Oracle Maxymiser, VWO Testing Ability to implement ML best practices for the entire Data Science lifecycle Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Data Scientist | Phreesia |
Job Description:
We have a new Data Science team seeking an experienced and hands-on Data Scientist to join us. You’ll leverage your extraordinary analytical and technical skills in this role. You’ll also support the team’s effort around managing the project lifecycle from data exploration to modeling and analysis through model selection, validation, evaluation, and deployment.
You will be joining a team of especially smart, funny, quick-witted, and dedicated coworkers, all passionate about data and improving patient access to healthcare. We are looking for someone experienced in partnering with business stakeholders, translating their needs into technical solutions and answers, and then building and delivering those solutions. This role will report directly to the Associate Director of Data Science.
As our Data Scientist, you will help deliver analysis and predictive model with a large data set relevant to the health care system in the United States. Additionally, you’ll provide near real-time business intelligence tools and build data products for internal consumption.
What You'll Do:
Leverage Phreesia’s massive and ever-growing dataset to build data products that provide actionable business insights
Optimize targeted engagement strategies through modeling, forecasting, and evaluation
Develop methods to efficiently classify and characterize patient populations
Navigate and use diverse machine learning stacks in Python and R
Use NLP techniques to parse, process, and structure textual data
Quickly prototype ideas and solve complex problems by adopting creative approaches
Take ownership of data products, ensure they are properly tracked throughout their lifecycle and build customized dashboards for internal and external clients
What You'll Bring:
MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience
2+ years of experience in an operational Data Science role and Strong SQL Skills
Professional command of Data Science and Machine Learning toolsets such as Python (Numpy, Scipy, Pandas, Scikit-learn), R (dplyr, tidyverse, ggplot).
Experience in using statistical principles to inform decision making (experimental design, significance tests, a/b testing)
Excellent interpersonal and communication skills, both written and verbal
Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making
Experience contributing professional-level code using version control
Who We Are:At Phreesia, we’re looking for smart and passionate people to help drive our mission of creating a better, more engaging healthcare experience. We’re committed to helping healthcare organizations succeed in an ever-evolving landscape by transforming the way healthcare is delivered. Our SaaS platform digitizes appointment check-in and offers tools to engage patients, improve efficiency, optimize staffing, and enhance clinical care.Phreesia cares about our employees by providing a diverse and dynamic work environment. We’re a five-time winner of Modern Healthcare Magazine’s Best Places to Work in Healthcare award and we’ve been recognized on the Bloomberg Gender Equality Index. We are dedicated to continuously improving our employee experience by launching new programs and initiatives. If you thrive in a culture of recognition, value inclusivity, professional development, and growth opportunities, Phreesia could be a great fit!
Top-rated Employee Benefits:
100% Remote work + home office expense reimbursements
Competitive compensation + equity grants for all employees
Unlimited PTO + 8 company holidays
Monthly allowance for cell phone + internet + wellness
100% Paid 12-week parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada
Variety of insurance coverage for people (and pets!)
Continuing education and professional certification reimbursement
We strive to provide a diverse and inclusive environment and are an equal opportunity employer.
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Data Scientist | The Predictive Index |
POSITION:
We’re looking for energetic, collaborative, and entrepreneurial data scientists, with a proven track record of developing innovative data solutions and machine learning models. As a data scientist, you will tackle and solve some challenging problems to enhance user experiences in the Predictive Index platform. You will take a leading role in design, code, quality, and release planning for new features within your scrum team, as you redesign the platform powering Talent Optimization. We are implementing new features in a service-oriented architecture. We have ambitious goals and encourage engineers to think boldly with colleagues, as well as partners on the Product team. We work in a fast-moving environment and provide the autonomy to innovate in your areas of expertise.
YOUR DAY-TO-DAY:
Primary technologies include Azure Machine Learning, NLP, Python, Databricks, .NET backend and API layer with Angular and Node.js frontend, hosted in Azure Cloud
Research and build practical machine learning algorithms
Develop application software, databases, and APIs in Azure
Support development, launch, and rollout of new features to over 7,000 clients
Partner closely with Product and other teams to anticipate user needs
Lead design sessions about problem solving, application architecture and database design
Create and drive process improvement to increase team velocity
Drive best-in-class site performance
SHOULD YOU APPLY?
If you’ve got all the below skills, drop what you’re doing right now and reach out. If you’ve got some of these skills, we still want to hear from you
Strong background in Computer Science, Data Science, or related fields
Strong track record in data engineering and developing NLP, machine learning models or recommendation systems (3+ years experience)
Highly proficient in the Microsoft Stack or similar technologies
Experience with some or all of the following:
MLOps processes
Cloud hosted applications in Azure and AWS
Agile development processes
Continuous Integration and deployment with automated testing
Database design using relational, document, and graph databases
Architectural design for highly scalable applications
Fluency with a wide variety of languages – we love to experiment in production and we’re interested in which technologies excite you.
Entrepreneurial spirit – we expect all our engineers to provide leadership at every level and to push to improve everyday.
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Data Scientist | Justwatch |
Data Scientist
JustWatch offers data-driven movie marketing for the film industry. Based on user data from justwatch.com and our apps - now the largest streaming guide worldwide - we run data-driven digital marketing campaigns for Hollywood’s latest blockbusters, most popular shows as well as independent movies. We are also building a new proxy that measures movies and tv show success: we are seeking to create a new industry standard combining modern methods of measurement and machine learning.
Who we are looking for
We are looking for someone that shares our passion for movies and tv shows, with a result-driven mindset, that is able to effectively communicate complex topics to non-technical audiences, and with extensive knowledge in the field of predictive analytics.
We love challenging goals. We question everything. We are always learning, and we are excellent in execution. We believe in the 80/20 rule and try to apply common sense and pragmatism to everything.
Here's what you will do
Develop and iterate a model that uses extensive survey data to predict how many streamers will actually watch the movie or show in the end
Help develop an extensive benchmarking system for our surveys that spans multiple platforms and employ statistical methods to gain insights from survey results
Make sure we gather the right data points needed to achieve this and assist our survey team to improve their process
Develop reports with visualization, summarize findings, and communicate with the stakeholders
What you will need
Passion for movies and tv shows and eagerness to build a predictive model to forecast the performance of movies & tv shows on streaming services
Solid knowledge of statistics e.g. population vs sample, credible interval vs confidence interval, bootstrapping, hypothesis testing
Hands-on experience with data modeling/prediction techniques and tools:
Techniques: unsupervised and supervised Machine Learning, including clustering methods, predictive models, outlier detection, sentiment analysis, and recommender systems
Languages: Python
ML and Visualisation: sklearn, XGboost, pandas, AUTOML, Plotly, Altair, Seaborn
Model Explainability: SHAP, Explainerdashboard, EVALM
Interest in gathering insights from historical data and passion for predicting the future from this data in general
Ability to apply data cleaning, feature engineering, statistics, machine learning, and common sense to predict future behavior
Readiness and curiosity to learn new tools and methods
Team player mindset. You enjoy working with talented and inspiring people.
Ability to cope with imperfect data sets
Excellent English communication skills, with the ability to synthesize, simplify and explain complex topics to different types of audiences
If you feel like you are missing some of the hard skills – don’t worry, we are hiring for the attitude, values, and personality.
We embrace our entrepreneurial responsibilities. Through our 6-figure environmental and social impact budget, we offset every employee’s carbon footprint, give back to the community, support causes that matter, and have recently implemented a wellbeing and mental health programme.
Read more about our culture in our blog post and Talent page:https://www.justwatch.com/de/Talent
How to apply:
Show your interest in any way that works for you, we simplified the application process - send us whatever you have or just your Linkedin and a message explaining why you are a great fit for this role. We won’t look at one-click applications.
If you have any questions, please reach out to our talent team via LinkedIn or apply to this role directly through this listing.
JustWatch takes diversity and equal opportunity in a serious way. Our goal is to build a team that represents a variety of backgrounds, perspectives, and skills. We commit to being inclusive.
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Data Scientist | Teachable |
At Teachable we empower creators to transform their knowledge into income. To accomplish this, our products enable individuals and small businesses to create, host and sell online courses and coaching. Teachable Creators have tens of thousands of active creators who’ve reached more than 45 million students around the world, teaching a diverse array of topics, ranging from crafting to card tricks to coding. Fifty million people worldwide consider themselves to be creators. More than two million people earn enough from their passion projects to consider it their full-time income. The rise of the creator economy means more people than ever want to share what they know and monetize it. Teachable is poised to offer best-in-class solutions to this ever-growing market.
In 2020, Teachable was acquired by Hotmart Company, a global leader in the Creator Economy with a shared mission of empowering creators to live out their passions. With offices in eight countries and more than 35 million users worldwide, Hotmart’s partnership ensures our creators—current and future—have access to best-in-class technology tools, so they can scale their online businesses with ease and truly make an impact on their students’ lives.
We’re looking for an experienced Data Scientist to work alongside our Product team in collaborating on our product roadmap and design in order to empower creators to transform their knowledge into income.
Primarily a Python shop, our team uses Apache Airflow for ETL, a rest endpoint, and Kafka for collecting events, and we deploy in Kubernetes. The data warehouse is Amazon Redshift with federated Postgres tables, and we have plenty of data in s3 in a variety of formats. This role has a major impact on the entire organization, as the Data Scientist is the primary owner of key pieces of infrastructure and is expected to make recommendations about what technologies we should be employing in the data platform and what patterns we should be following in data engineering.
This role will report to the Senior Business Intelligence Manager.
What you’ll do
Collaborate with engineering and product development teams
Apply advanced statistical and predictive modeling techniques to data related to the optimization of checkout and user experiences
Make recommendations on focus areas in the product to improve the customer journey
Collect and clean data from various sources and translate into strategic insights and actionable product recommendations
Build, improve and maintain data-driven projects to help build critical solutions to difficult problems
What We’re Looking For
2+ years of experience as a Data Scientist
Expert level of knowledge of Python or R
Experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques
Experience preparing and cleaning data autonomously
Ability to translate business needs and requirements into technical solutions
Solid analytical and problem-solving skills
Who upholds Teachable values, including working as part of a diverse team
Additional Details:
This role is open to remote candidates in the U.S.
Applicants must be currently authorized to work in the United States on a full-time basis.
For this role, the base salary range is $125,000 - $140,000. Total compensation also includes a competitive benefits package and Restricted Stock Units (RSUs). A salary offer will be determined by a number of factors including experience, skill level, education, internal pay equity, and other relevant business considerations. We review all teammate pay and compensation programs regularly to ensure competitive and fair pay.
At Teachable, we are committed to providing fair and competitive pay (using market data to inform our pay bands), rewarding high performance, and ensuring all employees have the opportunity and ability to impact Teachable’s overall company value. Base salaries will be reviewed at regular intervals throughout the year, typically following performance review cycles currently conducted bi-annually or in conjunction with a promotion.
While Teachable maintains our NY office for local employees to use, we operate as a remote-first culture in order to give our employees added flexibility. In order to maintain connection and create a community beyond the screen, Teachable holds company-wide, in-person events 2-3 times per year, where employees and teams can come together for team bonding, strategic alignment, goal-setting, and celebrations!
Benefits:
Comprehensive Health, Dental, & Vision benefits with an option covering up to 100% of monthly premiums Generous Vacation, Personal, and Sick Time
Parental leave, 16 weeks fully paid after three months of service
4% 401(k) with match after three months of service
Supplemental student loan repayment assistance or a professional education stipend
Tax-free commuter benefit
Gym/Wellness reimbursement up to $100 in pre-tax dollars per month
One-time $500 Work from Home (WFH) purchase card for new hires and ongoing WFH monthly reimbursement for certain home expenses of up to $100 per month
Headspace subscription
$250 Donation Match Program
Teachable encourages individuals from a broad diversity of backgrounds to apply for positions. We are an equal opportunity employer, meaning we're committed to a fair and consistent interview process. Please tell us in your application if you require an accommodation to apply for a job or to perform your job.
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Director Data Science And Analytics | The Knot Worldwide |
ABOUT THE ROLE AND OUR TEAM
TKWW is looking for a Director of Data Science & Analytics to build statistical models, reports, and analytical tools that will increase our operational efficiency and drive incremental revenue. A key focus of this role will be on monetization and pricing of our marketplace, but the role also encompasses supporting a variety of business stakeholders, including Sales, Operations, Finance, and certain product lines internationally and in the US. This is a highly technical position where data science, statistics, and machine learning play a major role, but knowledge of analytics and data engineering are also required. The Director will report to the Head of Data and will be responsible for growing and setting the strategy and vision for their team.
RESPONSIBILITIES
Manage, grow, and mentor a global team of data scientists and analysts.
Inform our pricing strategy and develop algorithmic methods to optimize product pricing across different countries, markets, and categories.
Build statistical and machine learning models to solve core business problems, such as pricing optimization, elasticity modeling, customer churn, lead scoring, lifetime value, and recommender systems.
Build a reporting stack tailored to the stakeholder needs, including high-level executive reports and domain-specific operational reports.
Lead vendor segmentation efforts to generate insights that can inform our sales and acquisition strategy.
Improve upon existing methodologies for measuring marketplace performance in a subscription-based plan scenario.
Explore and experiment with alternative auction-based monetization plans, including pay-per-lead and pay-per-booking approaches.
Think holistically about the data needs of the organization across data science & analytics, business intelligence, machine learning, and data engineering.
Design and conduct A/B testing experiments and advocate for an iterative learning culture.
Develop tools and data products that automate manual work, increase operational efficiency, and empower users via self-service.
SUCCESSFUL CANDIDATES HAVE
Experience with implementing pricing optimization and elasticity models with demonstrable business impact.
Advanced degree in statistics, data science, operations research, engineering, or computer science (PhD highly desired).
Excellent communicator with ability to translate technical concepts to non-technical audiences.
Strong SQL and Python programming skills.
Strong knowledge of applied statistics and machine learning.
Experience working at a two-sided marketplace or eCommerce company.
High-level understanding of data architecture, data pipelines, and database design.
Knowledge of visualization and proficiency in at least one visualization tool.
4 years of data science leadership.
Strong track record of influencing the organization and driving tangible business impact.
#LI-XM1 #LI-Remote
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Data Scientist Marketing | The Knot Worldwide |
ABOUT THE ROLE AND OUR TEAM:
The Knot Worldwide is in search of a talented and driven Marketing Data Scientist to join our brand new Marketing Science team. The Knot is making significant investments in Marketing across the board and is looking to bring in top talent who can leverage scientific principles and advanced analytics to solve critical business problems, such as media mix modeling, multi-touch attribution, and customer lifetime value. As a Marketing Data Scientist, you’ll be part of the broader Data organization within The Knot and will spend most of your time building statistical and machine learning models, in addition to designing and analyzing experiments to measure the impact of your work.
RESPONSIBILITIES:
Create solutions to drive marketing decision making and automation, including Media Mix and Multi-touch Attribution Models
Develop methodologies for measuring marketing performance across different parts of customer journeys and make recommendations for next best marketing actions at the user- or segment-level to drive Lifetime Value
Answer strategic marketing questions by analyzing behavioral data
Partner with business stakeholders to drive experimentation in practice
Communicate, collaborate, and present results to marketing stakeholders within The Knot Worldwide
Explore novel ways to look at our data
SUCCESSFUL DATA SCIENTIST CANDIDATES HAVE:
Master's Degree or Ph.D. preferred
Experience building MMM, MTA, or LTV models
Strong knowledge of marketing concepts
Proficiency in key statistical and machine learning techniques (predictive modeling, classification, clustering, text analytics, recommender systems, data mining methods, forecasting, and other advanced techniques)
Proficiency with R or Python
Familiarity with common Linux command line tasks and version control software like git or svn preferable
Ability to communicate effectively and influence others
Ability to work in a fast paced environment and shift gears quickly
#LI-KS1 #LI-Remote
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Senior Data Scientist | Ezcater |
ezCater is the most trusted provider of corporate food solutions – a $300+ billion market in the US alone. ezCater is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille, and had an up-round in December of 2021 when we were valued at $1.6 billion.
ezCater values technology, and particularly data, as a differentiator and a key component of our success. It powers everything we do. We push ourselves every day to better the codebase, improve performance, and deliver an amazing customer experience. Check out this CBS Boston article for a glimpse into our culture.
As a data-driven company pursuing an IPO we’re looking for an experienced Data Scientist, reporting directly to the Chief Data Officer (CDO), to be primarily responsible for leading the development and application of Data Science models across our business.
This Principal Data Scientist position will spearhead modeling efforts across our business everything from experimentation methodologies to predictive and causal impact models to accelerate our growth engine. The Principal Data Scientist will be responsible for selecting the appropriate approach, designing and evaluating methodologies and guiding analysts in applying Data Science to our business. Our ideal candidate will have proven, hands-on experience implementing a range of Data Science methods in a business setting, who is enthusiastic about working across our growing team of Analysts in coaching and establishing best practices in applying sophisticated models.
What you'll do:
Be the thought leader for elucidating and demonstrating the business opportunities that can be solved with applying advanced Data Science models to ezCater’s business. Coach and mentor a advanced analysts in applying models.
Lead the design and implementation of advanced statistical and Data Science models across ezCater’s growing business.
Select the most appropriate modeling approach, design models and evaluate effectiveness.
Establish foundational Data Science methodologies and frameworks (e.g., casual inference models, random forrest, etc) for Analysts across the company to use with oversight.
Set the technical direction and standards for coding and designing models across ezCater’s business.
Collaborate with analysts embedded in business teams in applying vetted methodologies, quality checking output to ensure high standards. Work directly wit business to understand challenges, guide approaches and explain results.
What you'll have:
5+ years of experience in a quantitative or technical work environment with advanced degree (Masters or Phd) in a quantitative field
Experience designing and applying Data Science and/or ML methodologies in a business setting (such as Bayesian Optimal Experimental Design, Casual inference models. Random Forests etc.)
High comfort level with R or Python (prefered)
Proven track record of collaborating with Analysts and business leaders in explaining methodologies and vetting applications for performance, accuracy and quality.
A disposition that is friendly, flexible and pragmatic, and the desire to learn something new every day and continue to grow.
The national cash compensation range for this role is $127,000 - $208,000* per year.
*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).
ezCater does not sponsor applicants for work visas or legal permanent residence.
What you’ll get from us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.
Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.
Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon.
ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.
For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy.
#LI-Remote
#BI-Remote
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Senior Applied Scientist Nlp | Kensho |
Who We Are
Kensho is a 100-person AI and machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) and include speech recognition (ASR), entity linking (Named Entity Disambiguation), structured document extraction, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us build and deploy state-of-the-art models across a variety of domains!
At Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (NY/DC/MA) will be required for team meetings or company events.
About The Role
Kensho is seeking a Senior Machine Learning Scientist to join our NLP Team, a product and research organization applying and extending the state of the art of textual and document-based AI across a variety of domains. The ideal candidate has deep industry or research experience and is a recognized expert in one or more core NLP fields, for example:
- Named entity recognition (NER)
- Entity linking and coreference resolution
- Extreme multiclass text classification
- Open-domain question answering
- Relationship and fact extraction
- Summarization
What You’ll Do
Develop novel NLP algorithms and models using state-of-the-art techniques like deep learning and knowledge base-augmented ML
Move the needle on unsolved problems in cross-domain NLP by conducting original research into replicating and augmenting human expert behavior with machine intelligence
Write production-ready modeling code that can be scaled out to billions of documents and millions of users
Contribute to a stellar engineering culture that values simplicity and function rooted in excellent design, documentation, testing, and code
Collaborate with senior product and engineering leaders to identify the most promising problems to go after
Share your results with your colleagues (presentations), senior executives (board meetings), and the world (published papers, patents, and blog posts)
Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!
Who You Are
Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you.
That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:
You hold a degree in Computer Science, Applied Math, or a similar field
You have experience designing, executing and evaluating ML experiments with real-world applications
You have mastery of the techniques required to work effectively with real-world data and have developed a successful track record training ML models on large, messy datasets
You have a deep understanding of what makes for well engineered software systems and understand that even superlative ML coupled with poor code will not go far
You prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently
You have a love for learning new skills and domains and share your knowledge freely, proactively, and effectively with others who are interested
You are a generous and fun teammate and can take your work seriously without taking yourself too seriously
Technologies We Love
ML: Pytorch, Hugging Face, Weights & Biases
Deployment: Airflow, Docker, AWS
Datastores: Postgres, Elasticsearch, S3
At Kensho, we pride ourselves on providing top-of-market benefits, including:
- Medical, Dental, and Vision insurance
- 100% company paid premiums
- Unlimited Paid Time Off
- 26 weeks of 100% paid Parental Leave (paternity and maternity)
- 401(k) plan with 6% employer matching
- Generous company matching on donations to non-profit charities
- Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
- Plentiful snacks, drinks, and regularly catered lunches
- Dog-friendly office (CAM office)
- In-office gyms and showers (CAM, DC)
- Bike sharing program memberships
- Compassion leave and elder care leave
- Mentoring and additional learning opportunities
- Opportunity to expand professional network and participate in conferences and events
About Kensho
Kensho uses machine learning, artificial intelligence, natural language processing and data visualization techniques to solve some of the hardest analytical problems and create breakthrough financial intelligence solutions for our parent company, S&P Global.
Kensho was founded in 2013 by Harvard & MIT alums and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global. As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.
We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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Sr Manager Data Science External Data Intelligence | Capital One |
Overview
Locations: VA - McLean, United States of America, McLean, VirginiaSr. Manager, Data Science - External Data Intelligence (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The External Data Intelligence Team centrally manages R&D, feature exploration and development, vendor engagements, and analytical and product support for a variety of key external data sources used across multiple Card decisioning and analytic use cases. The team aims to drive value generation from new data and new features, and to deliver exceedingly well-managed data products to modeling and business teams.
Role Description:
You will lead the Bureau Data Intelligence function of the External Data Intelligence team, delivering a great customer experience for users of credit bureau data, maintaining subject matter expertise on this centralized data source, and creating high value credit features for use in predictive modeling in underwriting and other customer decisioning. The team keeps abreast of new developments in the industry and engages with multiple vendors, business teams, and modeling teams. Fast-paced and customer-oriented, the team continuously drives new value and sets the standard for centrally managed predictive features in the Capital One Card business.
This role will require a hybrid skill set of strong analytical skills that enables effective insight extraction from complex data, strong interest and curiosity in credit data and the credit data ecosystem, deep familiarity with modeling and credit underwriting, and a product-oriented mindset to build and maintain collaborative relationships with internal partners, and the ability to become a subject matter expert in the credit data industry in order to better support our large internal user base.
In this role, you will:
Partner with a cross-functional team of data scientists, analysts, engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of dataBuild data engineering solutions through all phases of development, from design through development, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Bachelor’s Degree plus 7 years of experience in data analytics, or Master’s Degree plus 5 years of experience in data analytics, or PhD plus 2 years of experience in data analyticsAt least 3 years’ experience in open source programming languages for large scale data analysisAt least 3 years’ experience with machine learningAt least 3 years’ experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 1 year of experience managing peopleAt least 5 years’ experience in Python, Scala, or R for large scale data analysisAt least 5 years’ experience with machine learning
Capital One is open to hiring a Remote Employee for this opportunity.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Location is New York City- $222,589 and $262,605 for Sr Mgr, Data ScienceLocation is Colorado- $188,636 and $222,548 for Sr Mgr, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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Director Of Data Science And Engineering Rv Travel | Red Ventures |
In this role, you will have the opportunity to have a major impact on the value created from our AI product suite, data pipelines and analytics capabilities. You will be responsible for overseeing the team that owns data best practices and data science throughout Travel, having direct ownership of the strategy that we execute to meaningfully impact revenue across our Travel businesses. You will also play a key role in driving adoption of these tools across the industry group, working closely with other leaders to consult and showcase how to apply these tools to maximize effect. We’re looking for someone who has strong analytical/ML skills and a keen sense of how to apply these to solve business problems.
This role will provide visibility and access to senior-level leadership as you help drive behavior change across our organization. You will work closely with the AI Product’s GM setting strategy and action plans while getting reps pitching those to SLT members for buy-in.
We believe that diverse, inclusive teams are better teams. Think of the bullets below as guidelines: if you only partially meet the qualifications on this posting, we encourage you to apply anyway!
What You'll Do:
Set and execute the strategy of the Travel data team
Be responsible for product integration and value creation of our machine learning-driven products in key BUs to showcase revenue opportunities
Work with your team to Ideate, opportunity size, and pitch wholistic AI Products opportunities to get senior leadership buy-in
Oversee multiple on-going work streams and experiments – allocating your time effectively to ensure highest priority work is accomplished
Train your team to build and launch templated data components to enhance likelihood of success for an implementation – this may come in the form of visualizations, notebooks, and/or algorithms
Actively involved in product roadmapping and/or feature prioritization to provide perspective and expertise on sophisticated ways to leverage our data
Own data pipelines for Travel BUs
Oversee daily operations of the data team across Travel
Own implementation of advanced data practices across Travel
What We're Looking For:
7+ years of experience blending product expertise and machine learning practitioner background.
Demonstrated experience developing and delivering high business value strategic initiatives
Demonstrated ability to lead high-performing, analytical teams
Demonstrated ability to drive business decisions and behavior changes through analytical capabilities
Strong knowledge of machine learning, statistical modeling and optimization, with experience working directly or indirectly on a specific business-application in this field
Analytical skill-set with a data-centric approach to problem solving. You take in information and prioritize effectively to maximize lasting impact
Entrepreneurial mindset with strong business acumen and capability of innovating and executing solutions to create value for consumers
A results-oriented thinker who enjoys figuring out new problems and are regularly showing results with a positive attitude
You thrive in ambiguity. You can ingest various data points and feedback to form a new playbook and framework in situations where there isn’t a perfect solution
Bring a roll-up-your-sleeves attitude and develop a deep understanding of how our editorial, SEO, and marketing functions operate to ensure alignment with your product roadmap and their needs/opportunity areas.
Blend a deep understanding of state-of-the-art AI methods (large language models, deep learning, reinforcement learning) with deep business context to set a technical product roadmap.
Present ML product roadmap and vision to key business executives to gain alignment around core milestones and resourcing.
Compensation
Cash Compensation Range: $145,000 - $260,000* *Note actual salary is based on geographic location, qualifications, and experience.
Enrollment in Red Ventures Long Term Incentive Plan (Equity)
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are:
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com.For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
#TPG
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Senior Data Scientist Data Science Products Bankrate | Red Ventures |
We are looking to hire a senior data scientist to join our Data Science Product team in our FinTech industry group. Recently formed, we are charged with building AI-powered solutions that will change how our teammates operate and how our brands go to market. We're developing applications that will impact how we produce media, personalize our site experience, scale our teammates' reach, and provide our services to every consumer. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, software engineers, designers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do:
Design and execute multi-disciplinary data science solutions effectively and efficiently.
Partner with business leaders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams.
Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise.
Further the data science team’s technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others.
Drive the development of junior team members through mentorship and coaching.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We're Looking For:
4+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Our core problems to solve are:
text and video content generation - using natural language processing and generation, deep learning, computer vision and explainable supervised learning.
website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
marketplace optimization - using forecasting, multi-level modeling, linear programming, and other constraint-based optimization approaches.
Candidates with specific expertise in any of these areas will be highly preferred.
Knowledge of end-to-end software development, deployment, and monitoring workflows.
Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems.
Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders.Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences.
Proficiency in one or multiple literate statistical programming languages such as R, Python, and Scala. Our data science team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring.
Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible.
Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings.
Who We Are:
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
#li-cm1
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Senior Data Scientist Bankrate | Red Ventures |
Red Ventures’ Financial Services industry group is looking for a senior data scientist to join our team. As a member of our team, you’ll be empowered to develop data science solutions from ideation all the way to putting your solution into production and seeing the real impact it has on our business. Our solutions aim to improve the financial journeys of the users who interact with our websites and digital products. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do:
Design and execute multi-disciplinary data science solutions effectively and efficiently.
Partner with business leaders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams.
Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise.
Further the data science team’s technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others.
Drive the development of junior team members through mentorship and coaching.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We're Looking For:
4+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Knowledge of end-to-end software development, deployment, and monitoring workflows.
Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems.
Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders.
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences.
Proficiency in one or multiple literate statistical programming languages such as R, Python, and Scala. Our data science team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring.
Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible.
Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings.
Who We Are:
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
Compensation: Cash Compensation Range: $100,000 - $185,000* *Note actual salary is based on geographic location, qualifications, and experience.
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
#li-cm1
#BR
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Senior Data Scientist | Liveramp |
Senior Data Scientist
LiveRamp is the leading data connectivity platform for the safe and effective use of data. Our platform powers people-based customer experiences that improve the relevance of marketing and allow consumers to connect with the brands and products they love. We thrive on solving fascinating technical problems and enabling our customers’ success—and we’re always looking for smart, kind, compassionate people to help us blaze a trail.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
About this role
As a Measurement and Insights Services Consultant, you will be responsible for supporting the design, development and delivery of measurement solutions that enable customers to derive actionable insights from LiveRamp’s suite of products. This role is dynamic and diverse, requiring you to be innovative yet logical in applying statistical methods and analytical solutions. You will support LiveRamp customers and senior members of the team by generating campaign analysis, building attribution models, and creating custom reports and queries that utilize large volumes of data from a variety of sources including digital media, television and first-party CRM. You will leverage your technical and analytical skills to deliver thoughtful insights that inform client business decisions.
To be successful as a Services Consultant on the Measurement and Insights Team, you should be comfortable using technical tools, eager to dive into technical and analytical detail, knowledgeable about statistical concepts, and creative in developing measurement solutions.
You will:
Become an expert in LiveRamp products and be able to anticipate customer needs and suggest appropriate solutions
Collaborate with clients and the rest of the Global Services team to understand client business goals, define an approach, and deliver results
Work closely with our largest clients across multiple products to deliver custom analyses and white glove service
Apply an analytical approach to problem solving, troubleshooting, and understanding client needs
Develop statistical and analytical models to drive business recommendations and insights
Drive customer discovery sessions to gain a deep understanding of client requirements and leverage platform to deliver results
Prepare compelling analytical presentations and effectively communicate statistical and technical concepts to non-technical audiences
Identify measurement challenges and develop practical recommendations to solve business problems
Provide mentorship and guidance to other team members where necessary
About you:
Have a Bachelor’s degree in Business, Marketing, Math, Statistics, Economics, Computer Science or other quantitative discipline
4-7 years of relevant experience in an analytical role within advertising, advertising technology, or marketing technology industry
5 years of marketing analytics experience with designing experiments, developing statistical models, measuring campaigns and identifying opportunities for optimization and improvement or comparable experience using data and analytics
Critical thinking – capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives
Strong quantitative and research skills with proven ability to demonstrate data interpretation capabilities in terms of reporting and dashboards
Attention to detail and time management delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines
Ability to articulate strategic marketing implications of campaign performance results for business audiences with clarity and persuasiveness
Hands-on fluency in performing data and statistical analysis using SQL, Python, BigQuery, R, Tableau, and/or others with minimal supervision
Proficient in integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or campaign performance questions
Practical experience with statistical modeling, marketing test design, and audience segmentation
Comfortable with and has experience working in ambiguous environments while working in a consultative manner with customers
Exceptional EQ
Action-oriented and independent with hands-on experience delivering business results
Willingness and desire to learn and adopt new skills - both technical and non-technical - in order to craft and deliver the best solutions
Benefits:
People: work with talented, collaborative, and friendly people who love what they do.
In-Office Food: enjoy catered meals, boundless snacks, and the occasional food truck.
Fun: we host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: flexible paid time off, remote work opportunities, and paid parental leave.
Whole Health Package: medical, dental, vision, and disability insurance. Plus mental health support (via Talkspace) and fitness reimbursement up to $100 per month.
Savings: our 401K matching plan helps you plan ahead.
Remote Work Support: a comprehensive program to assist you in setting up a home office that works for you
Location: work in the heart of your home for now. Once our offices are back open, work in the heart of San Francisco, New York, or Remote
More about us:
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across eight countries and four continents.
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.
California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
#LI-REMOTE
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Senior Data Scientist | Bigfoot Biomedical |
What is Bigfoot Biomedical?
Bigfoot believes people living with insulin-requiring diabetes deserve relief from its daily burden. We envision a world where the emotional, mental, physical, and financial burden of diabetes has been significantly reduced. We are passionately dedicated to delivering simpler, safer, and more effective solutions for life with insulin.
We are personally committed to the mission of improving the lives of people with diabetes through the application of smart technology. We bring deep and nuanced understanding of customer needs, demonstrated technical capabilities in developing and commercializing technology, and proven business acumen in funding and growing startups into profitable publicly traded enterprises.
What we are building at Bigfoot Biomedical
Bigfoot is building diabetes management solutions integrating data, software, smart devices, and people. This is your chance to join a very talented team!
As a key member of Bigfoot’s Computational Sciences team, the Senior Data Scientist is responsible for creation of new algorithms, statistical models, and the examination of Bigfoot’s data resources to answer questions and develop new products.
Essential Duties and Responsibilities:
Define and refine problem statements and questions posed to the computational sciences group
Gather, clean, and collate data to answer questions
Plan and execute analysis plans to answer questions and develop new product solutions
Stay up to date on advancements in data science especially related to diabetes
Education and Experience Requirements:
MS degree in quantitative field with a minimum of 5+ years of experience analyzing data to address problems in industry OR human physiological data
Demonstrated ability to create solutions to problems using data
Knowledge of best practices for dealing with real data: data cleaning, model creation, model testing
Additionally, the ideal candidate will possess the following:
Python with pandas
AWS data workflows
Visualization and communication of insights
SQL
Unix/Linux Operating Systems
Time Series Methods
Hypothesis Testing
Algorithms and Data Structures
Parallel Programming
Human Physiology
Anomaly Detection
Experience in an FDA-regulated environment, a strong plus.
Physical Demands:
Ability to sit or stand to perform work.
Manual dexterity to use computer systems and cellular phones.
What will you do at Bigfoot Biomedical?
What you do here at Bigfoot will largely be defined by your existing skills and desire to grow to help us achieve the above. We have an employee-friendly working environment that provides bike racks and showers, lunch and snacks, and flexible hours. Our culture helps us stay focused on our goals.
We have competitive benefits. We have a great team culture. We understand that we all need to succeed as a team. We have fun while we're building a solution we can be proud of.
If you're ready to make a dent in the universe, join the mission, and feel like what you do every day isn't just a job, come talk to us!
Bigfoot Biomedical, Inc., provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, 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.
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Principal Data Scientist Ecosystem | 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
Does the challenge of scaling a fast-growing company by powering it with data and analytics excite you? Using your business instincts and creativity, you will support an outstanding product with nuanced analysis, relevant insights, and recommendations. We're growing quickly, so you'll need to help define the processes for sustainable growth across the marketing and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role is a great fit!
Atlassian is looking for a Principal Data Scientist with technical and leadership skills to be the primary analytics partner to our Ecosystem marketing team. We're looking for someone with business instincts, creativity, analytics mastery, and experience working with cross-functional teams; someone who is passionate about applying these skills to build a measurement culture connected to business impact.
What you'll do
Work with Marketing and Product Leaders in the Ecosystem team to identify high impact opportunities for analytics, and align Analytics & Data Science priorities with the team roadmapInform growth strategy, important decisions, and customer and developer messaging for Atlassian's Ecosystem PlatformEnvision, scope, and lead high impact projects by collaborating with marketing, product, engineering, and other data scientistsPromote a measurement culture and understand the impact of our internal strategy, including designing and analyzing experiments and campaignsShare your high-quality recommendations with multiple levels of leadership to guide impactful decisionsFoster 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
Your background
Experience applying your analytics skills to identify and lead projects which have had impact on strategic and marketing roadmap decisions8+ years of experience in analytics or related fieldsExpertise in SQL and proficiency in another data science programming language (e.g Python, R)An Agile development mindset, appreciating the benefit of constant iteration and improvementA very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Comfort explaining complex concepts to diverse audiences and creating compelling storiesExperience translating insights into actions that have a direct business impactExperience using statistics as part of your roleExperience with at least one analytics and visualization tool such as Tableau, Looker, etc.
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Senior Data Scientist Full Stack | Zynga |
AVAILABLE POSITIONS Senior Data Scientist (Full Stack)
Zynga is a leading developer of the world’s most popular social games, played by tens of millions of people around the world each day. To date, more than 1 billion people have played our games across Web and mobile, including FarmVille, Zynga Poker, Words With Friends, Harry Potter: Puzzles & Spells, Merge Dragons!, Empires & Puzzles, Hit it Rich! Slots, Toy and Toon Blast, and CSR Racing.
The Marketing ML team is a group of full-stack data scientists charged with building core products for the measurement, optimization, and automation of marketing functions across this vast portfolio. These products are vital to Zynga’s marketing success, informing all facets from operational and executive decision-making.
As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the marketing space. You will be entrusted with key initiatives and given a fair amount of autonomy, so it is critical that you bring technical excellence, a mind for architecture, and a mature sense for timelines to this role.
Responsibilities:
Use our modern tech stack, AWS (Redshift & Kinesis), Databricks and PySpark, Airflow, and Tableau to develop innovative tools
Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives
Implement groundbreaking machine-learning pipeline technologies to scale and propel the marketing analytics function
Providing inventive thought leadership in the architecture of our pipelines
Design and develop in a CI/CD environment
Required Skills and Experience:
A strong statistical background building sophisticated models that can reasonably describe actual underlying data generation processes. Experience with Bayesian modeling preferred
Experience exploring and implementing innovative ML/AI methods and the ability to apply that knowledge broadly across our various data pipelines to improve efficacy and efficiency
Experience crafting large-scale ML pipelines using technologies such as AWS tools, Databricks, and Airflow. Proficiency in SQL and Python is needed
Full-stack knowledge, especially around software-engineering principles such as modularity, automated testing, and documentation
Strong mentorship skills
4+ years of work experience in data science, machine learning or analytics roles
BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters or PhD strongly preferred
Zynga is an equal opportunity employer. We are proud of our diverse community; we do not discriminate on the basis of race, sex, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome candidates, players, employees, and partners from all backgrounds. Join us!
Zynga will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
What we offer you:
Zynga Stock RSUs and Bonus Plan
Full medical, dental, vision benefits as well as life insurance
Generous Paid Maternity/Paternity leave
Open vacation policy for all full time employees
Flexible working hours on many teams
Work alongside driven individuals towards a common goal
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!
We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.
We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request an accommodation associated with your application for an open position.
This is a fully remote role that may be based anywhere in the United States. The pay range for this position for applicants based in Colorado at the start of employment is expected to be between $133,000 – $148,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Zynga does not engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).
If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov.
Careers Category: Data, Analytics & User Research
Careers location: Austin, TX, Remote, US
Connected Worker Type: Connected, Onsite, Offsite
Select Your Country of Residence
Apply
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Senior Data Scientist Words With Friends | Zynga |
AVAILABLE POSITIONS Senior Data Scientist – Words with Friends
Zynga is a leading developer of the world’s most popular games that are played by people around the world every single day. To-date, more than 1 billion people have played our games including Empires & Puzzles, Toon Blast, FarmVille, Words With Friends, Zynga Poker, Merge Dragons, Hit it Rich! Slots and CSR.
The big part of the success of all of Zynga’s games is insightful and innovative ways of using data. Zynga’s Data Science and Analytics team uses the latest analytics technologies across our expansive data to deliver fundamental insights on who our audience is, how they engage with our games, and what are the best ways to personalize their in-game experience. We strive for a better understanding of our players which translates into challenges and features that delight them.
What we are looking for is a passion for analytics and data science and the ability to impact game performance through customer-centric, data-driven initiatives. This role will work closely with the Words with Friends team at Zynga to identify and act on, opportunities to increase engagement, retention, revenue, optimization, and to improve the player experience for our customers. Furthermore, the role entails close coordination with the wider Zynga’s analytics team to provide novel opportunities based on shared insights as well as an introduction on new analytics methods.
This is a great opportunity for an analytics expert looking to build end-to-end data solutions to generate impactful insights and work on exciting, large-scale projects. Furthermore, you’ll have a chance to tackle a variety of projects ranging from creating intuitive dashboards to owning advanced data science solutions, as well as becoming a thought leader in analytics to facilitate coordination of global initiatives.
Lastly, this role requires strong technical skills across a wide spectrum, including strong proficiency in scripting languages such as SQL and Python, telemetry definition and data modeling, data aggregation and manipulation, customer analytics, business intelligence, data visualization, and data science techniques.
Main Responsibilities:
Act as a thought leader, suggesting opportunities and driving analytics value for Words with Friends and the wider Zynga business both strategically and operationally.
Work closely with the product leadership with a focus on generating actionable insights and end-to-end data solutions that have a measurable impact on the core KPIs.
Specifically, you may encounter projects focused on: modeling the in-game economy through simulation, personalizing our in-game store using recommendation algorithms, or combating fraud and abusive behavior through near-real-time interventions.
Proactively bring forth new analytical approaches and data science solutions to our team. Collaborate with engineers to drive key strategic initiatives for the improvement of the data and analytics infrastructure.
Be a champion of best practices when defining telemetry events, architecting data models, and defining data quality governance.
Leverage our modern tech stack, AWS (Redshift & Kinesis), Databricks and PySpark, Airflow, and Tableau to identify opportunities to improve the experience that Zynga provides to its players.
Own experimentation efforts, including experimental design and analysis.
Desired Skills and Experience:
Bachelor’s degree in Math, Statistics, Computer Science, Economics, Operations Research, or other quantitative field required.
4+ years of relevant work experience in data science or analytics roles; game industry experience is a bonus.
Demonstrated experience with the following: machine learning, predictive modeling, statistics, experimental design, computational analytics, econometric modeling.
Strong experience in SQL, Python, and fluent in other programming languages; Experience in applying machine learning on large datasets. Familiarity with Databricks is a bonus.
Skilled in at least one visualization tool such as Tableau.
Strong written and oral communication skills.
Ability to work effectively in a fast-paced environment with changing priorities.
Comfortable working in different work environments and cultures with ease.
Able to coordinate complex initiatives with different stakeholders.
Passion for gaming.
What we offer you:
Competitive salary, bonus plan, Take-Two RSU’s (Restricted Stock Units), ESPP (Employee Stock Purchase Plan)
401K Company Match Contribution (US)
RRSP Company Match Contribution (Canada)
Extended Health coverage, dental, disability, critical illness, EAP, and life insurance (Canada)
Medical, dental, vision, EAP, life insurance, and disability benefits (US)
Virtual mental health and neurodiversity support programs
Fitness benefits (offering varies by location)
Financial wellness program with unlimited access to certified financial planners
Discretionary Time Off policy for many employees
Family planning support program
Generous paid maternity/parental leave
Subsidized Back-up child care
Zynga happy hours and frequent employee events
Flexible working hours on many teams
Culture of diversity and inclusion including employee resource groups
Work with cool people and impact millions of daily players
We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!
We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.
We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request an accommodation associated with your application for an open position.
This is a fully remote role that may be based anywhere in the United States. The pay range for this position for applicants based in Colorado at the start of employment is expected to be between $118,000 and $133,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Zynga does not engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).
If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov.
Careers Category: Data, Analytics & User Research
Careers location: Remote, US
Select Your Country of Residence
Apply
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Lead Data Scientist Supply Chain Us | General Mills |
OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your advanced expertise in machine learning, optimization and information retrieval to design, prototype and build a next generation supply chain engine and services. You will serve as the technical leader for an enterprise level supply chain data science initiative. You will be responsible for designing the analytic architecture, constructing machine learning models, and communicating with product owners, business partners and other data scientists.
RESPONSIBILITIES
Work closely with data science leadership, engineering, and business partners to develop optimization and machine learning models using best in class tools and technology.Create production ready, scalable models that provide real time insights that align with General Mills technology standards.Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.Mentor and coach junior data scientist on key technical and domain topics.Act as a thought leader in supply chain data science techniques and represent the Digital and Technology organization.Partner with functional analytic teams to align and integrate solutions.
MINIMUM QUALIFICATIONS
Master’s degree in computer science, operations research, engineering or related quantitative field or commensurate work experience in supply chain technology or data science.5+ years of professional experience developing and deploying machine learning algorithms in a production environment.Proficient in one or more coding languages including PythonExperience with graph database technology preferredExpertise with leading the development of large-scale optimization, simulation, and network-based models.Highly adaptable, curious, and willing to work independently on complex and challenging problems.There is no time in current position requirement to apply for this role.
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States, Canada or the UK will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
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Senior Data Scientist | Cohere Health |
Company Overview
Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office. Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications. To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles.
Opportunity overview
We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.
Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
What you will do:
Work as part of a cross-functional team to develop project requirements, identifying data collection sources for project needs. Responsible for milestone setting from a data science perspective
Develop research questions and undertake data exploration to understand who our product users are, how they get value out of Cohere, and where we can develop our product to bring greater value and simplify healthcare
Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives
Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes
Present information using data visualization techniques and propose solutions and strategies to business challenges
What you bring:
4+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
Strong interest and understanding of EMR data, Claims and SDOH data
Experience with data visualization tools such as Tableau and Kibana, preferred
MSc or higher degree in a data science/ analytics, statistics, mathematics related field
What you bring bonus edition:
Experience with Amazon AWS cloud platform
Experience with ElasticSearch
Experience with graph database
#LI-Remote
#BI-Remote
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Senior Data Scientist | Change Research |
About Change Research
Change Research innovates to solve critically important problems at the intersection of data, social science, and politics. Since 2017, Change Research has been at the forefront of measuring public opinion. Candidates, causes, cities, and companies use our data to understand people’s needs, improve messaging, and accomplish their strategic goals. As a Senior Data Scientist at Change Research, you will be uniquely positioned to have the tools you build play a vital role in these decisions.
Data science has been a core ingredient in developing Change Research’s innovative survey methodology. It guides how we reach survey respondents, how we design and weight our surveys, and how we keep improving our techniques. It is also a core part of Change Research’s future. Data science will continue to improve our methods for acquiring survey respondents as well as develop new products grounded in our wealth of up-to-date survey data and new machine learning techniques.
This is a permanent, full-time, remote position that may require occasional travel and that reports to the Head of Engineering and Data Science.
Our Commitment to Diversity, Equity, and Inclusion
We value a diverse and inclusive workplace where we learn from each other. We invite people with different backgrounds, experiences, abilities, and perspectives to join our team. Black, Indigenous, people of color, LGBTQ+ people, women, veterans, people living with disabilities, and members of historically disenfranchised populations are encouraged to apply. We are an equal-opportunity employer, and we are currently accepting applications. Join us!
Position Summary
As a Senior Data Scientist, you’ll be involved in all aspects of our analytics, research, model development, and data pipeline. We’re a small but growing company and each team member contributes in a meaningful way. We interview millions of voters through our platform — a novel dataset with tremendous utility for political campaigns, government officials, advocacy organizations, and other causes.
This is a permanent, full-time, remote position and may require occasional travel and reports to the Head of Engineering & Data Science.
Core Responsibilities:
Partner with the product manager and engineering team on coming up with ideas for and developing fundamentally new public opinion products using artificial intelligence, machine learning, and data analysis using our massive dataset of survey respondents
Partner with the product manager and polling team to test and implement improvements to our polling methodology, such as optimizing our methods to reach survey respondents
Own, improve, and create new versions of our internal machine-learning models that support the polling process
Work with the product manager and engineering team to design data pipelines that allow the polling team to analyze data across polls and over time
Help evaluate and decide when it’s best to build and when it’s best to buy
A successful candidate will have:
3+ years of data analysis and building machine learning models in a Python-heavy codebase.
Strong SQL skills, as a way to engage with our core datasets and to help provide insights to the company.
Experience with a data infrastructure stack — we use Redis, Google Cloud Platform (DataFlow, BigQuery, Cloud Run), Apache Beam, and MySQL all with Docker, but we believe experience in other stacks will translate.
The curiosity to try new things, but the self-discipline to prize results over technique.
Excitement to think about gaps in our tooling as opportunities for our team to improve and expand its data infrastructure, build new products, and surface new insights.
Compensation and Work Environment:
The annual salary range is $130,000 to $170,000, based on relevant experience, and includes these benefits:
fully remote work environment
competitive salary and equity packages with bonus potential
flexible paid time off and company holidays
company-subsidized health, dental, vision, and life insurance
access to pre-tax 401K retirement program
work-from-home office stipend
paid parental leave
Our workplace is both casual and professional, and we are committed to learning, fun, and excellence. Everyone on our team works hard and is dedicated to the work we are doing. You must be authorized to work in the United States.
If you are selected to interview, our process includes:
Preliminary video interview: Approx. 30 min
At-home exercise: Approx. 1 hr 30 min
Additional video interviews: Approx. 1 hr
Video interview with manager: Approx. 1hr
Reference Checks (we may do these earlier in the process)
How to Apply
Click the “Apply” link to submit a resume and answer a few brief questions. Applications will be received on a rolling basis and early applicants will receive priority. We are seeking to fill this position before November 30, 2022, and the application may close before this deadline.
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Senior Data Scientist | Health Iq |
Health IQ is the only Medicare broker that uses your detailed health record and our AI platform to find a plan truly tailored to your needs. We are a pre-IPO technology company with over $100 million raised from top Silicon Valley investors. We value smart, driven, creative people passionate about improving the world through data and technology.
As part of Health IQ’s Digital team, the Senior Data Scientist will join the core development team designing the machine learning algorithm that powers our health needs prediction engine. We are looking for experts in predictive modeling and machine learning, who are focused on practical implementations with real-world impact. An ideal candidate is able to quickly iterate on the problem and ship to production on a regular basis.
What you will be doing:
Implementing and optimizing machine learning models
Solving mission critical data data science problems from conception to production
Implementing holistic solution design including automated data cleaning, feature engineering and scalable database structures
Who we're looking for:
Expertise in statistics and data analysis techniques like Naive Bayes, Logistic Regression, Random Forest and Neural Networks
Demonstrated history of solving data science problems from conception to production
Expertise in SQL and Python including libraries like Spacy, Pandas, Scikit, Pytorch and Keras (with Tensorflow)
Experience in holistic solution design including automated data cleaning, feature engineering and scalable database structures
The Ideal Candidate will also have:
Prior experience with startups
Prior experience of development in a regulated environment e.g. healthcare, finance, insurance, legal.
Prior experience leading teams
Undergraduate degree in computer science, or related technical field, required; advanced degree preferred
#LI-REMOTE
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Staff Data Scientist | Clover Health |
Senior Data Scientist
Clover is reinventing health insurance by working to keep people healthy.
Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From understanding how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out insights central to executing on our core mission. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”
We’re looking for a Senior Data Scientist to help us build a revolutionary new health care company.
As a Senior Data Scientist you will:
Lead large-scale projects from ideation through delivering enterprise value
Have a broad problem-solving toolkit and know how to apply it. When problems call for out-of-the box solutions, you will apply them effectively. When problems call for boutique solutions, you can evaluate the trade-offs and chose a solution that maximizes velocity
Implement broad solutions that are bug-free and well-tested. Where possible, your work reduces complexity rather than adding it
Understand the problems faced by the business and deliver results that meaningfully solve some of these problems
Proactively engage with stakeholders across all levels of Clover to understand needs. Uncover and mitigate risks and assumptions that may prove to be intractable later.
Serve as a trusted advisor and thought partner and ensure that projects are delivered on time and to spec. Within the team, serve as a mentor and collaborator, improving peers’ ability to deliver.
You will love this job if you:
You want to create impact with your work by finding insights in the data that unlock value and improve outcomes.
You have a strong understanding of how to structure analyses and experiments to yield interpretable, actionable results.
You reason holistically. From project scope to priority to implementation, you'll have an impact on how decisions get made.
You are comfortable acting autonomously in ambiguous and dynamic environments.
You are fearless in the face of messy data, and adept at programmatically structuring and cleaning records collected from the real world.
You strive to automate as much as possible, yet understand the value of explicitly incorporating human decisions into the systems you build.
You have just as much interest in helping other people move faster as you do building your own analyses.
You should get in touch if you:
Have a strong foundation in probability and statistics, and demonstrated facility with machine learning tools, including SQL and python, as well as statistical and machine learning packages
Have demonstrated success using data science to deliver clear enterprise value in a business function
Are comfortable leading and have successfully led a large-scale project from opportunity identification to business value
Are able to improve the work of those around you via direct mentorship, code review, informal conversations, and leadership by example
Can clearly articulate how your work accrues to business value and can contextualize that value with respect to top-level business objectives
Have an advanced degree in a quantitative field, especially dealing with complex data-driven results, or equivalent experience
#LI-Remote
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.
About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
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Data Scientist | Clover Health |
Clover is reinventing healthcare by working to keep people healthier.
Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From observing how the member experience impacts clinical results to making our home visits more efficient, our team pushes out automated and statistical insights central to building on our main mission. We build the machine learning models and expert systems that back our operational processes and web applications while designing and running experiments and generating analyses to promote good decisions and demonstrate impact. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”
We’re looking for a Data Scientist to help us build a revolutionary new health care company. We build the machine learning models and expert systems that back our operational processes and web applications while designing and running experiments and generating analyses to encourage good decisions and demonstrate impact.
As a Data Scientist, you will:
Devise and reason about local and global metrics as well as account for biases and confounds.
Deliver workable and holistic insights, accounting for risk and variance.
Complete and implement bug-free code that works in harmony with Clover’s data framework. You can expand this framework using a clear and consistent data model.
Identify the problem space and use this information to inform good decisions about product scope and implementation options in order to ship genuine benefits for the business.
Communicate technical work and assumptions clearly to both technical and non-technical audiences, including status updates and blockers.
Build a unified and effective cross-functional environment. “Get to yes” with senior leaders to meet needs the initial path does not work.
You will love this job if:
You want to create impact with your work by finding insights in the data that unlock value and improve clinical results.
You have a strong cognizance of how to structure analyses and experiments to produce interpretable and pragmatic results.
You reason holistically. From project scope to priority to implementation, you'll have an impact on how decisions get made.
You are comfortable acting autonomously in ambiguous and changing environments.
You are bold in the face of messy data, and adept at programmatically structuring and cleaning records collected from the real world.
You aim to automate as much as possible, yet appreciate the value of explicitly incorporating human decisions into the systems you build.
You have just as much interest in helping other people move faster as you do building your own analyses.
You should get in touch if:
You have 4+ years of relevant experience or education equivalent (i.e. Masters degree plus 2+ years of relevant experience).
You have an advanced degree in a quantitative field, especially dealing with complex data-driven results.
You have a strong foundation in probability and statistics, and demonstrated facility with machine learning tools, including SQL and python, as well as statistical and machine learning packages.
You have demonstrated success mapping project goals to data solutions and have delivered business value with your technical work.
You can proactively manage project scope, and actively look for fast-path solutions to apply your ideas.
You have logical heuristics and business sense sufficient to allow you to evaluate possible solutions quickly without exhaustively running down leads.
You have successfully demonstrated communication of technical findings to both technical and non-technical audiences. You consider communication of your work as fundamentally important to realizing value.
#LI-Remote
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.
About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
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Principal Product Data Scientist | Clover Health |
Clover is reinventing healthcare by working to keep people healthier.
As a Principal Product Data Scientist you will partner across the technology organization to guide product teams towards their quantitative goals. Your data-driven understanding of our products will shape the strategies that we use. Your product sense will shape the bets that our technology team makes.
As a Principal Product Data Scientist, you will:
Work with our product leads to develop and refine successful product strategies.
Guide our products to deliver value to our doctors and their patients
Establish the metrics that define team-level OKRs and keep the team focused on those numbers
Structure our data so that you, your team, and other data scientists have a shared source of truth
Represent the work and progress of your cross-functional team to technology and business leadership
You will love this job if:
You are excited when the product is successful, not just when the analysis is right.
You think about how things work in terms of data.
You actively curate your own product sense.
You lead through influence, building the trust and respect of your coworkers through good decisions and thoughtful collaboration
You should get in touch if:
You are an established data scientist, especially if you have also held non data-science roles
You have lead teams that built successful technology products
You are an experimentalist at heart
You have strong statistical, analytical, and technical skills and want to deliver business value with them
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Product Insights Manager Freemium Innovation Growth | Spotify |
The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
We are looking for a Product Insights Manager with a strong background in data science to help us explore innovative product opportunities and grow our existing audience of 400+ Million listeners. You’ll lead a team of 2-3 Data Scientists and conduct your own insights work including exploratory analysis, experiments and metric definition and reporting to help drive data-informed product decisions. As a member of the insights team, you’ll work closely with cross-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about crafting scalable products for our listeners.
In Freemium, we have a strong insights culture where we place a strong emphasis on using research and data to fuel innovation and growth. You will take part in discovering insights that help us find new ideas and build innovative products, and grow our Spotify listener base.
What You'll Do :
Lead a team of 2-3 Data Scientists, ensuring that everyone on the team is growing in their careers and delivering high quality and impactful insights work.
Define a data strategy and build out further capabilities to enable your team to be efficient.
Define metrics, run experiments, build dashboards, and do deep dives to empower data-informed decisions driving innovation and user growth.
Perform exploratory analysis to extract insights to drive product, design and business decisions by understanding who our users are, how they get value out of our offering and where we can further develop our product to bring greater value.
Collaborate closely with product managers, designers, engineers, user researchers, and business team members across the organization to use data to determine where to prioritize our bets based on opportunity sizing and foundational insights.
Influence strategy by leading foundational research & experimentation initiatives to develop a deeper understanding of our products and our users.
Develop and innovate on our mixed-methods insights practice, and contribute to the wider Insights community at Spotify.
Who You Are:
You have 2+ years of leading a team of data scientists or other analytics professionals and 5+ years of relevant data science experience, working with product and engineering teams.
You have relevant training in statistics, mathematics, computer science, engineering, economics or another quantitative field.
Technical and statistical competence to perform sophisticated analytics on datasets with SQL, coding skills (such as Python, Java or Scala), analytics libraries (Pandas/Numpy, Seaborn, Dplyr, GGplot, etc), & other visualization tools (Tableau).
You possess statistical skills to perform sophisticated analytics (such as regression modeling and significance testing).
You deliver impactful insights from your data to drive action upon your findings and are comfortable leading collaborators at all levels.
You are a trusted and respected mentor to other data scientists.
You are passionate about driving projects, leading solutions for big projects and not scared of ambiguous and innovative spaces.
You are an effective communicator who values building positive relationships with colleagues and have the ability to distill sophisticated thoughts into simple, impactful recommendations.
Thrive in exploratory spaces where problems may lack definition and are able to build a vision and frameworks that guide teams in solving user and business problems effectively.
Where You'll Be:
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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Data Science Lead Creator Marketing | Spotify |
We are looking for a passionate marketing data science leader to join the Creator Marketing team - Spotify’s division dedicated to helping artists thrive by providing the most valuable tools to create music, build an audience, monetize their fans, and ultimately live off their work.
Spotify for Artists is used by more than a million artists monthly to get insights, reach new listeners, and deepen the connection with their audience. We are looking to invest in Marketing Data Science as part of the Creator Marketing organization and are seeking a strong leader to build out this capability.
We are looking for an experienced marketing data scientist who can generate useful insights and help shape the organization’s strategy working with the Global Head of Creator Marketing and the leadership team. You will also power some of Spotify’s most impactful creator-facing marketing campaigns: these include global franchises like Spotify Artist Wrapped or Fan Study. Lastly, you’ll be responsible for the measurement of marketing impact, attribution, and incremental testing while at the same time setting up the data infrastructure to support our long-term marketing vision.
In this role, you’ll report to the Global Head of Creator Marketing. You will also be a part of a wider community of 40+ data scientists and researchers building creator-facing products. This is a crucial role for our organization. The ideal candidate will have impeccable data skills, the ability to work with both marketing managers and engineers, and ideally a passion for music.
What you'll do
Work closely with cross-functional teams of marketing managers, data scientists and the wider R&D organization who are passionate about helping artists thrive
Deliver data stories to power Spotify for Artists’s most impactful data storytelling campaigns such as Artist Wrapped and Fan Study
Use data insights to inform Spotify’s global creator marketing strategy in close partnership with the Creator Marketing leadership team
Develop metrics & marketing attribution models to improve our understanding of impact and enable us to iterate
Develop data-driven case studies to showcase the impact of our products and services that can be used across marketing touchpoints to activate customers
Build out and maintain dashboards to support data-driven decision-making across wider Creator Marketing organization.
6+ years of experience working with data to drive marketing initiatives
Experience crafting success metrics, running power analyses, determining statistical significance, and presenting actionable insights with clear recommendations or implications. You have experience with marketing attribution models, causal inference or marketing mix modeling.
Experience with data modeling & engineering, including creating robust pipelines pulling data from 3rd party and internal APIs and large-scale datasets.
You have a good understanding of marketing: you are familiar with marketing channels, SEM, social measurement, the difference between paid and unpaid channels etc
You are capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
Proficiency in Python, SQL and Tableau.
Knowledge of Django, Flask or other web frameworks preferred
Bonus if you’ve got exposure to Braze, mParticle, Google Analytics, or similar growth marketing tools.
Comfortable working with distributed teams across multiple offices and timezones
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location.
Working hours? We operate within the Eastern Standard time zone for collaboration.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
This role is not eligible for hire in Colorado, USA.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
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Senior Data Scientist Creator Promotion | Spotify |
The Music Mission team builds Spotify's content platform and creator products. Our content platform ingests, understands, and safeguards the world's audio. Our creator products - Spotify for Artists, Soundtrap, and SoundBetter - enable artists and their teams to create music, connect with collaborators, and grow & monetize their audience.
Central to the Music Mission team’s vision is the development of promotion tools for artists and labels powered by Spotify’s deep knowledge of listener preferences and behaviors. We’re looking for a Data Scientist to join the Creator Studio team dedicated to growing our products that help artists get their music into the ears of existing and potential fans.
In this role, you will partner with product teams to build the technology that makes this a reality by accounting for a complex set of artist needs, preferences, and goals. You will tackle complex problems to develop a behavioral understanding of customer needs, as well as to forecast and predict the value that our tools deliver to them & Spotify. In doing so, you will have a proven impact on bringing Spotify’s two-sided Music Mission vision to life.
As part of the Product Insights team, you will partner with data engineers, product teams, and designers to help us define the next generation of promotion products for the music industry. You’ll also be connected to the broader Spotify insights community to expand the influence of your team's work.
What you'll do:
Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists.
Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully.
Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products.
Define the metrics and dashboards we use to measure the health and success of our products.
Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.
Who you are:
5+ years of demonstrated ability in a similar data scientist role.
Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
You have experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.
Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
Where you'll be:
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours?
We operate within the Eastern Standard time zone for collaboration and ask that our teammates are comfortable working within the hours of that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
This role is not eligible for hire in Colorado, USA.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
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Senior Data Scientist Freemium Opportunity Sizing | Spotify |
The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
We are looking for a Senior Data Scientist to define the opportunity size for innovative product ideas. You’ll incorporate business, product, and industry data to identify and prioritize meaningful product opportunities. As a member of this growth and innovation focused insights team, you’ll work closely with cross-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about crafting new, scalable products for our listeners.
In Freemium, we have a strong insights culture where we place a strong emphasis on using research and data to fuel innovation and growth. You will take part in discovering insights that help us find new ideas, build innovative products, and grow our Spotify listener base.
What You'll Do:
Own opportunity sizing for new product ideas, helping the cross-functional team make the right bets in the early stages of product development.
Synthesize business, product, and industry data to identify and prioritize meaningful product opportunities.
Define metrics, run experiments, build dashboards, and do deep dives to empower data-informed decisions driving innovation and user growth.
Perform exploratory analysis to extract insights to drive product, design and business decisions by understanding who our users are, how they get value out of our offering and where we can further develop our product to bring greater value.
Collaborate closely with product managers, designers, engineers, user researchers, and business team members across the organization to build data-informed methods for identifying and prioritizing bets.
Develop and innovate on our mixed-methods insights practice, and contribute to the wider Insights community at Spotify.
Who You Are:
You have 5+ years of relevant data science experience or analytics experience, especially including extensive experience in opportunity sizing new product ideas.
You have relevant training in analytics, statistics, mathematics, computer science, engineering, economics or another quantitative field.
You have extensive experience with datasets from syndicated sources, search, social listening and more to estimate impact of potential new opportunities.
Technical and statistical competence to perform sophisticated analytics on survey and behavioral data with SQL, coding skills (such as Python, Java or Scala), analytics libraries (Pandas/Numpy, Seaborn, Dplyr, GGplot, etc), & other visualization tools (Tableau).
Excellent analytical skills and ability to understand the relevant analysis required to estimate the impact of a new product idea.
You deliver impactful insights from your data to drive action upon your findings and are comfortable managing team members at all levels.
You are an effective communicator who values building positive relationships with colleagues and have the ability to distill sophisticated thoughts into simple, impactful recommendations.
You thrive in exploratory spaces where problems may lack definition and are able to build a vision and frameworks that guide teams in solving user and business problems optimally.
Where You'll Be:
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences.
Find more information about our Work From Anywhere options here.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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Data Scientist Creator Promotion | Spotify |
The Marketplace team builds Spotify's content platform and creator products. Our content platform ingests, understands, and safeguards the world's audio. Our creator products - Spotify for Artists, Soundtrap, and SoundBetter - enable artists and their teams to create music, connect with collaborators, and grow & monetize their audience.
Central to the Marketplace team’s vision is the development of promotion tools for artists and labels powered by Spotify’s deep knowledge of listener preferences and behaviors. We’re looking for a Data Scientist to join the Creator Studio team dedicated to growing our products that help artists get their music into the ears of existing and potential fans.
In this role, you will partner with product teams to build the technology that makes this a reality by accounting for a complex set of artist needs, preferences, and goals. You will tackle complex problems to develop a behavioral understanding of customer needs, as well as to forecast and predict the value that our tools deliver to them & Spotify. In doing so, you will have a proven impact on bringing Spotify’s two-sided marketplace vision to life.
As part of the Product Insights team, you will partner with data engineers, product teams, and designers to help us define the next generation of promotion products for the music industry. You’ll also be connected to the broader Spotify insights community to expand the influence of your team's work.
What you'll do:
Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists.
Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully.
Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products.
Define the metrics and dashboards we use to measure the health and success of our products.
Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.
Who you are:
3+ years of demonstrated ability in a similar data scientist role.
Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
You have experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.
Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
Where you'll be:
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours?
We operate within the Eastern Standard time zone for collaboration and ask that our teammates are comfortable working within the hours of that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
This role is not eligible for hire in Colorado, USA.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
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Data Scientist Spotify For Artists | Spotify |
Spotify for Artists is the destination for artists and their teams to understand their fans and reach their goals. We give artists the insights and tools they need to connect with their fans and establish a meaningful career on their own terms.
The Music Product Insights Team is a growing insights community of 30+ Data Scientists and User Researchers who blend their skills to help us craft the next generation of music industry products, bringing insights into every decision we make.
We are looking for a data scientist with experience working in a product development team, testing new product concepts with users at various stages of the product development cycle, thinking creatively about experimentation, and leveraging statistical modeling to generate insights from large-scale datasets. You will join one of the product teams within Spotify for Artists and help inform the way we build our platform to allow artists and their teams to achieve success on Spotify.
What you'll do:
Gain a deep understanding of how products and platforms influence user behavior by extracting insights from rich datasets to drive the Spotify for Artists roadmap.
Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully, sequencing hypotheses to ladder up to broader business goals.
Partner closely with the other data scientists, user researchers, and data engineers to help inform, build and test hypotheses to deliver actionable insights that fuel our product development.
Define the metrics we use to measure the health of initiatives and track them through dashboards
Be an advocate for data-informed decision-making, making recommendations about the product performance and product experience available to the whole organization.
Who you are:
You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
You have experience with product analytics, including crafting success metrics, ensuring strong instrumentation, deeply understanding user behaviors, and presenting findings with clear product recommendations or implications.
You are capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
You are proficient in Python and SQL
Where you'll be:
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours?
We operate within the Eastern Standard time zone for collaboration and ask that our teammates are comfortable working within the hours of that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
We strongly believe that diversity of experience, perspectives, and background will lead to a better workplace for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
This role is not eligible for hire in Colorado, USA.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
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Senior Data Scientist Growth | Spotify |
The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
We're looking for a Senior Data Scientist to join our Insights team to support strategic decision-making for user growth in all markets around the world.
What You'll Do
Work closely with other data scientists, user researchers, product managers, designers, and engineers
Establish learning agendas, measurement plans and success metrics in close coordination with contributing teams and partners
Analyze large quantities of data to extract impactful insights to help inform senior leadership and drive strategic, product and business decisions
Design and facilitate experimentation both on and off platform
Communicate insights and recommendations through clear visualizations and presentations
Who You Are
5+ years of experience in a data scientist role and a degree in data science, computer science, statistics, economics, mathematics, or similar quantitative field
Possess the technical competence to perform analytics on very large datasets, including coding skills (such as Python or R) and databases (such as SQL)
Statistical competence in areas such as A/B testing, causal inference, regression modeling etc
Familiar with qualitative research methods, using data from interviews, surveys and co-creation activities to synthesize with quantitative data
Eye for business with ability to deliver on loosely defined problems to assess research questions and come up with relevant answers and actionable insights to guide decisions
You are a communicative person that values building strong relationships with colleagues and partners and have the ability to explain complex topics in simple terms
Where You'll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours
Working hours? We operate within the Eastern/NY time zones for collaboration and ask that all be located in that time zone
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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Lead Data Scientist | Medely |
THE COMPANY
Medely is the largest workforce management platform specializing in delivering healthcare professionals through an on-demand marketplace. As an economic empowerment engine, Medely allows healthcare professionals instant access to high-paying jobs with the freedom and flexibility to work when/where they want while providing healthcare facilities access to the largest on-demand network of ready-to-work healthcare professionals.
We believe that empowering healthcare professionals will bring more open, efficient, and increasingly higher quality to patient care. We are a team of sharp, entrepreneurial individuals who are redefining the way healthcare staffing is done. We are currently looking for candidates to join our growing team who share our enthusiasm for tackling today’s toughest challenges in healthcare.
We’re looking for a data scientist who will be responsible for partnering with our product and cross functional teams to provide the facts needed to make better decisions and a well thought point of view to help push our products and services to better serve our customers. You will be responsible for building a strong understanding of our ecosystem, working with the product team to determine which projects are the most important, and being willing to use the right tool (a scripted model, a dashboard, a presentation) to find and explain the relevant and timely findings that help us operate better.
What you'll be doing:
Work with product to provide data-driven insights that will help drive significant increase in core business KPIs (growth, revenue, engagement)Create internal dashboards to monitor the health of the product and business KPIs (growth, revenue, engagement)Deliver ad-hoc analyses and reports to support business needs, investigate, triage and resolve metrics-based issues without heavy guidanceCreate and share compelling presentations that motivates and inspires the team to build with convictionWhen necessary, build models in R, Python, or other systems that help us better measure and understand the results of experiments or user flows
What you'll need:
Bachelors and 7+ years post-collegiate work experience as a data scientist or data engineerExperience designing and reading out experiments Expert level in SQL & business intelligence toolsMastery of R, Python, or another scripting languageStrong analytical skills, with experience solving ambiguous problems using dataAbility to analyze data and condense data to tell a persuasive storyProven ability to effectively communicate with cross functional teamsSelf-starter, with ability to thrive in a dynamic, fast-paced environment, drive change through influence, and collaborate effectively with a variety of cross-functional stakeholdersExcited and hungry to try new tools and processes to achieve resultsPassionate about building delightful products for our customers
In accordance with Colorado's Equal Pay for Equal Work Act, the expected base salary range for this role in Colorado is $155,000 to $180,000.
This position may be eligible for additional compensation and benefits including: equity, bonus, health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, floating holidays and paid holidays); and benefits. Actual compensation will be determined by experience and other factors permitted by law.
#LI-SH1
WHY MEDELY: BENEFITS & PERKS
- Competitive Compensation: Based on experience and performance
- Long Term Incentives: 401k
- Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance
- Flexibility: We believe that work/life balance is important, so we offer three weeks of Paid Time Off and nine paid holidays, and two personal holidays (employees starting in the second half of the year are given one floating holiday for the first year of employment).
- Energetic team environment
- Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry on a national scale!
- Ownership: Drive meaningful business impact on a team that you’ll help build and define!
- Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office!
We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities.
Work location is flexible if approved by Medely.
Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate.
We are an E-Verify company.
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Senior Data Scientist | Medely |
THE COMPANY
Medely is the largest workforce management platform specializing in delivering healthcare professionals through an on-demand marketplace. As an economic empowerment engine, Medely allows healthcare professionals instant access to high-paying jobs with the freedom and flexibility to work when/where they want while providing healthcare facilities access to the largest on-demand network of ready-to-work healthcare professionals.
We believe that empowering healthcare professionals will bring more open, efficient, and increasingly higher quality to patient care. We are a team of sharp, entrepreneurial individuals who are redefining the way healthcare staffing is done. We are currently looking for candidates to join our growing team who share our enthusiasm for tackling today’s toughest challenges in healthcare.
We’re looking for a data scientist who will be responsible for partnering with our product and cross functional teams to provide the facts needed to make better decisions and a well thought point of view to help push our products and services to better serve our customers. You will be responsible for building a strong understanding of our ecosystem, working with the product team to determine which projects are the most important, and being willing to use the right tool (a scripted model, a dashboard, a presentation) to find and explain the relevant and timely findings that help us operate better.
What you'll be doing:
Work with product to provide data-driven insights that will help drive significant increase in core business KPIs (growth, revenue, engagement)Create internal dashboards to monitor the health of the product and business KPIs (growth, revenue, engagement)Deliver ad-hoc analyses and reports to support business needs, investigate, triage and resolve metrics-based issues without heavy guidanceCreate and share compelling presentations that motivates and inspires the team to build with convictionWhen necessary, build models in R, Python, or other systems that help us better measure and understand the results of experiments or user flows
What you'll need:
Bachelors and 5+ years post-collegiate work experience as a data scientist or data engineerExperience designing and reading out experiments Expert level in SQL & business intelligence toolsCompetency in R, Python, or another scripting languageStrong analytical skills, with experience solving ambiguous problems using dataAbility to analyze data and condense data to tell a persuasive storyProven ability to effectively communicate with cross functional teamsSelf-starter, with ability to thrive in a dynamic, fast-paced environment, drive change through influence, and collaborate effectively with a variety of cross-functional stakeholdersExcited and hungry to try new tools and processes to achieve resultsPassionate about building delightful products for our customers
In accordance with Colorado's Equal Pay for Equal Work Act, the expected base salary range for this role in Colorado is $155,000 to $180,000.
This position may be eligible for additional compensation and benefits including: equity, bonus, health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, floating holidays and paid holidays); and benefits. Actual compensation will be determined by experience and other factors permitted by law.
#LI-SH1
WHY MEDELY: BENEFITS & PERKS
- Competitive Compensation: Based on experience and performance
- Long Term Incentives: 401k
- Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance
- Flexibility: We believe that work/life balance is important, so we offer three weeks of Paid Time Off and nine paid holidays, and two personal holidays (employees starting in the second half of the year are given one floating holiday for the first year of employment).
- Energetic team environment
- Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry on a national scale!
- Ownership: Drive meaningful business impact on a team that you’ll help build and define!
- Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office!
We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities.
Work location is flexible if approved by Medely.
Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate.
We are an E-Verify company.
|
Head Of Core Experience Machine Learning Causal Inference Data Science | Discord |
What You'll Be Doing
Develop and own the roadmap & prioritization for predictive modeling and causal inference to understand user dynamics on the platform
Mentor and guide the team to use state-of-the-art machine learning and causal inference techniques to provide a deeper understanding of the product, users, and communities.
Influence our experimentation platform decisions, best practices, and experimentation accuracy
Inform the direction of our ML & CI tech stack through collaboration with our Data Platform team
As a member of our Data leadership team, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord!
You Will Thrive In This Role If
3+ year of people management experience in ML & CI domains; track record of leading successful teams in a cross-functional & collaborative environment
PhD in quantitative field and 6+ years of experience in using ML and/or CI techniques to make an impact on vague and challenging business problems.
4+ years of industry experience in developing, productionizing, and maintaining applied machine learning models for internal use cases (i.e. low SLA, batch models)
Expertise in the following domains: linear models, neural networks, tree-based models, and unsupervised learning
Proficiency with Python and SQL
Excellent communication skills, with the ability to explain complex findings and technical approaches to a variety of audiences.
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Experience in experimentation on social media or other consumer products with network effects (eg. cluster based testing)
Interest in conducting literature reviews, translating and championing best scientific practices to a wide range of functions across the company.
Experience writing technical articles related to machine learning & causal inference.
Experience with R.
Passion for Discord or online communities.
#buildbelonging
(New York City only*) Minimum salary of $206,000/year + equity and benefits Note: Disclosure as required by NYC Pay Transparency Law (Colorado only*) Minimum salary of $175,100 /year + equity and benefits *Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now
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Senior Data Scientist Analytics Marketing | Discord |
What You'll Be Doing
Be a DS Tech Lead in the Community Marketing area, build business domain knowledge, translate ambiguous business problems into deep insights via hands-on analytics, proactively initiative, drive, execute, and socialize analytical projects to shape Community Marketing business direction
Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
Define KPIs and diagnostic metrics that help improve the server & user experience, encapsulating these measures in clean crisp dashboards that provide us with and actionable information
Use our amazing infrastructure to build custom data sets to monitor novel product features and processes
Socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Promote A/B testing and help groups throughout the company design, analyze A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You'll Thrive in This Role If
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
4+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
4+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience collaborating with marketing or sales
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as user segmentation, funnel analysis, cohort analysis, LTV analysis, sentiment analysis, etc
Experience writing performant code in BigQuery SQL
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now
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Data Scientist Biosensor Analytics | Biofourmis |
Data Scientist - Biosensor Analytics
Biofourmis is looking for candidates with Biosensor Algorithms background to solve data science problems in digital health and continuous patient monitoring.
Responsibilities:
Design and develop new health monitoring features, functionalities, and algorithms for low power embedded wearables and/or cloud solutions
Design, prepare and conduct clinical, laboratory and bench studies for feasibility, development and validation
Build pipelines and automation for processing, data analysis, and machine learning model training to accelerate algorithm development
Design, iterate, and optimize algorithmic processes and systems to achieve best in class computational efficiency and clinical performance
Create, refactor, and manage code repositories and releases
Carry out incremental improvements, refinements, and maintenance of algorithms and code base
Work with firmware and back-end and QA engineers to implement algorithms and models in our products and ensure their quality through rigorous testing
Foster collaborative cross functional communication, proper planning, and timely executions
Follow good research development practices and quality management system for product life cycle
Prepare reports for the design, implementations, and verification & validation
Present results and recommendations to cross functional teams and management
Contribute to the company's intellectual property and publications
Be self-driven, motivated and a team player
Qualification & experience:
PhD/MS in Digital Signal Processing, Biomedical Engineering, Computer Science, Electrical Engineering or other relevant discipline
1– 3 years of academia/industrial experience in developing biosensor analytic algorithms for biosensor and or cloud deployment involving complex physiological and actigraphy signals
Solid background and practical expertise in digital/image/statistical signal processing, and machine/deep learning
Hands-on experience in PPG/actigraphy signal processing, embedded sensor hardware development, algorithm integration and testing are a plus
Proficiency in programming using MATLAB, Python and or C/C++
Experience with agile project management, version control, and QMS tools
Strong problem-solving and excellent communication skills
Good track record with patents and/or publications
Must be comfortable working with a mostly remote-based team and colleagues
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Senior Manager Data Science | Whatnot |
🚀 Whatnot
Whatnot (YC W20) is a livestream shopping platform and marketplace backed by Andreessen Horowitz and Y Combinator. We’re one of YC’s top companies and one of the fastest growing marketplaces ever. We’re laser focused on creating an exceptional software company, team, and place to work. You can read our principles [here].
Our mission: enable anyone to turn their passion into a business and bring people together through commerce. We’re building the future of ecommerce; an interactive community where creators can make a living off their passion.
Did we mention we’re high growth? In January 2021, Whatnot had 10 ambitious employees. Today, the Whatnot team is 120+ employees and will exceed 300 by year end. We’re hiring forward thinking problem solvers across all functional areas. We recruit thoughtfully, can adapt quickly, and are scaling fully remotely.
📈 Opportunity Size
The ecommerce experience has been static for 20+ years and is perhaps the largest opportunity in the startup space today. Livestream shopping is a $170B GMV market in China and has grown 100% YoY. Retail is a $5T market opportunity!
👋 About You
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.
You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from data engineering and product analytics to machine learning and service deployments.
In addition to 8+ years of experience in the Data Analytics field and 2+ years of experience in a data leadership role, you should have:
Excellent verbal communication and presentation skills to stakeholders, leadership, and investors
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
Proven track record of building and leading data science teams supporting Product, Operations, or GTM teams
Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience with operational databases such as PostgreSQL, DynamoDB
Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
Expert in using SQL for data analysis, reporting, and dashboarding
Experience with a scripting language such as Python or R is a plus
Aptitude and experience in applied statistics and machine learning techniques
Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
💻 Role
Build team roadmap to capture, analyze, and drive data driven decisions across core functions of the business
Own report building, insights generation, and data informed recommendations
Organize and shape the collective understanding of business health and opportunities through various data sources both internal and external
Act as cross functional leader guiding key decision making on high priority initiatives
🎁 Benefits
Competitive base salary and stock options
Unlimited Vacation Policy and No Meeting Holidays
Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability
Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical
Dental and Vision sponsored 100% by Whatnot for employees and dependents
Work From Home Support
Laptop provided by Whatnot and home office setup allowance
$450 work-from-anywhere quarterly allowance for cell phone, internet, or co-working space
Up to $500 monthly to spend within Whatnot App
Care benefits
$1,350 quarterly allowance on food
$1,500 quarterly allowance for wellness
16 weeks Paid Parental Leave and gradual return to work
$20,000 for family planning, such as adoption or fertility expenses
401k offering for Traditional and Roth accounts provided by Betterment
Employer matching contributions of 100% of up to 4% of contributions on base salary
💛 EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
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Decision Scientist Ii | Ziprecruiter |
Job Description
We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary of Job:
The Analytics & Data Science team's mission is to empower ZipRecruiter with data through analysis, operational insights, and strategic initiatives. We're looking for a decision scientist that is meticulous, regimented, and creative. Your goal is to drive ZipRecruiter's growth by using data to improve decision-making, and to help make ZipRecruiter the best place for employers to hire and for job seekers to get hired.Your role is to serve as the interface between ZipRecruiter's data and our business, making sure that timely and accurate analysis is brought to bear on complex problems across our business. You will partner with business stakeholders in Product Management and Engineering to make data-driven decisions. You'll use data and statistics to uncover new opportunities and empower business leaders making difficult calls.We are currently hiring senior level Decision Scientists (Decision Scientist II)
Key focuses:
Exercise independent judgment to define KPIs, protect data integrity, and create insights and dashboards through analysis of large data sets Use professional discretion to communicate insights from data analysis to business stakeholders through creation of readable and informative data visualizationsInterpret data and statistics to facilitate ZipRecruiter's continuous experimentation and advancement Exercise discretion in identifying strategic opportunities to improve ZipRecruiter's products and operations through analysis of data Work closely with cross-functional teams in Product & Engineering to translate findings into actions Independently solve problems presented by business partners through analysis of dataContinuously learn and develop skills while working with our cutting edge team of analysts and data scientists Create readable and informative data visualizations to communicate data insights to business stakeholdersTurn ambiguous questions from business partners into clear analytical problems, and solve them using data
Minimum Requirements:
Experience setting up and leading AB testsExperience in product analyticsSQL experienceExceptional verbal, written, and visual communication skillsAttention to detailStructured analytical approach to problem solvingAbility to think creatively and to work well both as part of a team and as an individual contributorKnowledge of statistics and R/Python skills 3+ years of experience in Finance, or Growth Marketing is a strong plus, particularly in a cross-functional team environment.
As part of our team you'll enjoy:
Competitive salaryExceptional benefits packageFlexible Vacation & Paid Time OffEmployer-matched 401(k) plan
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ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
Company Description
ZipRecruiter is the fastest growing employment marketplace. We have helped over 1 million businesses and 100 million job seekers find their next perfect match through partnerships with the best job boards on the web, curated email alerts, award-winning mobile apps, and the world’s best search algorithm for jobs.
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Data Scientist | Johnson Johnson |
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Description
At Johnson & Johnson Consumer Health, we’re here to change the world. We are a diverse group of leaders who think digital-first and push boundaries as much as we push ourselves. And, for other like-minded leaders out there looking to make their mark, we’ve got three words for you: change happens here.
Johnson & Johnson Consumer Health is currently recruiting for a Data Scientist to sit within our R&D Organization Data Science team to be located in Skillman, NJ. Remote work options may be considered on a case-by-case basis and if approved by the Company.
We combine meaningful human insights and digital-first thinking to help people take better care of themselves and their loved ones. We believe in the power of new perspectives and insights to drive innovation. Our culture is diverse and inclusive – a place where being individually dynamic but collectively brilliant results in smarter solutions for all of the many communities we serve.
We are industry leaders, earning the #1 or #2 position in most of the categories in which we compete. Our iconic and beloved brand, including TYLENOL®, ZARBEE’S NATURALS®, NEUTROGENA®, AVEENO®, LISTERINE®, OGX® and JOHNSON’S®, are rooted in science and endorsed by professionals, helping more than 1.2 billion people live healthier lives every day, from their first day.
Learn more about Johnson & Johnson Consumer Health and follow us on LinkedIn .
In this role you will drive accelerated and differentiated growth and engagement for our consumers and employees within the Consumer Health R&D Data Science organization.
You will help grow data science as a core part of the overall digital strategy. You will work with life-science experts to define problems, identify data, define, design, and implement data science solutions, focusing on augmenting product development to improve outcomes and enable impact for our innovations.
You will partner with senior R&D leaders who are life science experts, to help them be even more impactful with a differentiated lens of thinking and problem-solving abilities. It will be imperative to have expertise within Biomedical Engineering and Data Science.
You will be customer facing with R&D and Commercial business partners and will require extensive external teamwork and collaboration. This role requires validated impact to translate business problems (from an R&D POV) into technology driven solutions designed to accelerate and improve the organization. These solutions will range from incremental and architecturally driven to truly groundbreaking opportunities for our organization.
You will also:
Partner with business collaborators to identify business requirements, crafting a portfolio of high-priority data science use cases or products
Translate analytics insights into powerful narratives that drive business decisions and behaviors
Build and apply data science and analytic solutions independent of technical direction
Develop and implement data science solutions independent of technical direction, with a focus on Consumer-centric solutions
Scale the use of existing social listening and NLP tools within R&D, encouraging teams and mentoring early adopters to demonstrate value through case studies
As part of Data Science community of practice, help raise data science knowledge and support data-driven, consumer-centric culture in R&D organization
Lead collaboration with internal partners and external vendors, build data platform or capabilities for Data Sciences to enable sophisticated data analytics, predictive consumer-technical modeling, consumer insight discovery, and innovation in product claims
Continually explore and pilot new data science capabilities in proof-of-concept work to demonstrate potential value and build business case for further investment
Qualifications
A minimum of a Bachelor is required. Field of study within Science, Engineering, Technology or within biotech is preferred. An Advanced degree is also preferred.
A minimum of 4 years’ experience is required. Experience in a R&D organization is preferred.
Solid understanding of data science capabilities to Product Development and Digital Health
Able to understand and apply the constantly evolving data science innovations
Strong analytical thinking and communications, e.g., understanding sophisticated or ambiguous business problems, explaining technical topics to non-technical colleagues, translating business requests into data science strategy, effectively presenting to key decision-makers
Data-management skills, e.g., cleaning/organizing data, data preparation, data collection, data integration across different data sources, data storage, relational/non-relational database management
Proficient in machine learning, artificial intelligence (AI), natural language processing (NLP), structured query language (SQL), NoSQL, MATLAB, XLSTAT, and programming in Python or R
Experience with developing and deploying descriptive, predictive, and prescriptive models.
Experience with a variety of algorithms, including AI/ML and deep learning is required
Johnson & Johnson announced plans to separate our Consumer Health business to create a new publicly traded company. The process of the planned separation is anticipated to be completed within 24 months, and it will be subject to legal requirements including consultation with works councils and other employee representative bodies, as required, and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of a new entity within New Consumer Health and your employment would be governed by New Consumer Health’s employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by New Consumer Health at an appropriate time and subject to any necessary consultation processes.
At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com ( http://www.careers.jnj.com ).
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Data Scientist Co Op | Johnson Johnson |
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At Johnson & Johnson, we use technology and the power of teamwork to discover new ways to prevent and overcome the world’s the most significant healthcare challenges. Our Corporate, Consumer Health, Medical Devices, and Pharmaceutical teams leverage data, real-world insights, and creative minds to make life-changing healthcare products and medicines. We're disrupting outdated healthcare ecosystems and infusing them with transformative ideas to help people thrive throughout every stage of their lives. With a reach of more than a billion people every day, there’s no limit to the impact you can make here. Are you ready to reimagine healthcare?
Here, your career breakthroughs will change the future of health, in all the best ways. And you’ll change, too. You’ll be inspired, and you’ll inspire people across the world to change how they care for themselves and those they love. Amplify your impact. Join us!
Janssen R&D, a member of Johnson & Johnson's Family of Companies is recruiting for a Data Scientist (co-op), located at our PA or NJ sites and also able to work remotely.
The role sits within the Quality Analytics Organization in BioResearch Quality & Compliance (BRQC), a unit of Janssen R&D responsible for quality in clinical trials. It will involve the implementation of descriptive, predictive and prescriptive data analytics. This exciting role will allow you to bring innovative thinking to a team that is fast moving and looking to prototype advanced data analysis techniques.
The scope of data to be analyzed ranges from data about BRQC quality processes, to operations or scientific data from our R&D partners and further to external data from industry and regulators.
Qualifications
Key Responsibilities :
Assist in creating new mechanisms to monitor for quality signals on an ongoing basis using advanced analytics, signal detection, natural language processing, machine learning, deep learning, and time-series analysis
Engage with diverse business partners to develop innovative trending and modeling capabilities that help improve current processes.
Bring capability and skills to contextualize quality data into insights that will enable data driven-decision making
Apply analytical/statistical methods to complex and disparate data sources to deliver actionable insights
Bring together the critical factors of data, processes, and systems to create insight from information
Work on a number of data science projects and be given the opportunity to define innovative techniques to analyze data and generate insights
Work with a team of other data analysts and scientists
Liaise with members of BRQC to define, conduct and communicate data analytics
Education:
Candidates must be enrolled in an accredited college/university pursuing a Bachelor’s, Masters or Ph.D. degree, preferably with a STEM major or area of concentration.
Experience and Skills:
Available to work (Part-time or Full-time).
Legally authorized to work in the United States.
Highly organized and able to take on multiple responsibilities and keep track of details.
Have the ability to work individually (independently) as well as on a team.
Candidates need to be proficient with Microsoft Office, Word, Excel and Power Point, and have strong oral and written communication skills.
Need programming and/or data and business analysis experience.
Preferred:
Prior data science experience, i.e. analyzing real-world (noisy/imperfect/incomplete) datasets and developing algorithms to solve problems on them, is strongly preferred.
Prior programming experience in a Data Science language (R/Python) is preferred.
Experience with agile software development is desired.
At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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Data Scientist | Renofi |
We’re looking for a Senior Data Scientist who’s excited to build new product functionality from start to finish and polish our existing data products. Our team is creating innovative new tools, such as Risk Scoring and Automated Valuation Models, that help our customers understand the post-renovation value of their homes and help the company drive smart decisions.
Our team is focused on crafting a user experience that makes the complex process of financing a renovation accessible and easy to understand. On any given day, we might be working on the interfaces that will help homeowners navigate the process of funding their renovation or the systems that enable our lending partners to offer our products.
What you’ll do at RenoFi
Design and build advanced data products using statistics and ML techniques. These data products serve as a core market differentiator for RenoFi
Mine large datasets and perform analyses for gathering valuable insights and leverage this information to make recommendations that will influence how we make business decisions
Collaborate with multiple departments and use a combination of computer science and applications, modeling, statistics, analytics, and math to solve problems
Extract data from multiple sources
Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities
Communicate essential findings and insights to leadership
Make recommendations to adapt our existing operational processes and business strategies
What you'll bring to the team
You have professional experience with the real estate market
You have 2+ years of experience applying methods from machine learning and statistics to real-world datasets
You are proficient in implementing different machine learning algorithms
You have experience designing and/or deploying machine learning systems in production
You have experience in spatial and temporal data science techniques
Fluency in Python and familiarity with its tech stack such as NumPy, Pandas, Scikit learn
You have advanced knowledge of SQL
You write code that follows best practices
You are eager to ship products to get user feedback as soon as possible
Knowledge of GCP and cloud computing in general
We are committed to hiring and cultivating a diverse team. If you are uncertain about whether you meet our requirements, please apply anyway!
ABOUT US:
The demand for home renovations has never been stronger, yet, it's surprisingly difficult for a new homeowner to renovate. It can take a decade to build up enough home equity and savings to pay for a major renovation. As a result, recent homeowners do a lot of financially-suboptimal things to compensate like borrow from their 401k, rack up credit card debt, and use high-interest personal loans. Or they just live unhappily for years in a home that doesn't meet their family's needs.
But by completing a major renovation, homeowners are increasing the value of their home. Professional real estate investors leverage this After Renovation Value (ARV) to roll the increase in value into new properties all the time. But there hasn't been a great way for homeowners to take advantage of this. If homeowners had an ability to borrow against the ARV, they could increase their borrowing power up to 10x.
To meet this need, RenoFi created a platform that enables homeowners to borrow funds from RenoFi approved lenders in the form of the first home equity loan purpose-built for renovations! Unlike standard home equity loans, RenoFi Loans use the value of your home post-renovation which lets you borrow the most money at the best possible terms. RenoFi is creating a full suite of renovation loan products to better suit the needs of today’s homeowners!
For homeowners, RenoFi makes it possible to renovate years earlier than might be otherwise feasible. For contractors, we empower the financing of renovations at the point of sale, reducing instances of scope reduction, and ensuring prompt payment. Our lender partners, most often credit unions, rely on RenoFi's platform to generate loans, create efficiencies, and grow membership. The lenders pay RenoFi for the new loans, which allows us to offer our services to homeowners for free. RenoFi is truly a win-win-win for everyone involved.
RenoFi is backed by some of the best startup investors in the world, including First Round Capital, Comcast Ventures, and Canaan Partners.
WE ARE A GLOBALLY DISTRIBUTED TEAM
RenoFi has been built from the start as a fully distributed team with an intentional focus on growing a strong team and culture that spans timezones and nationalities. Here's one fun example!
Please highlight any prior experience working remotely when applying. US or GMT-adjacent timezones will be prioritized.
RenoFi offers competitive cash and equity compensation. Some benefit offerings will vary from country to country. In the United States, we offer competitive health and retirement plans. All staff across the globe enjoy a flexible vacation policy.
READ MORE ABOUT RENOFI
Our post announcing our funding: https://www.renofi.com/blog/financing-should-not-be-the-hardest-part-of-renovating/
Blog post by our lead investor announcing his investment in RenoFi: https://www.canaan.com/latest/brendan-dickinson-announcing-our-investment-in-renofi
National coverage by Housing Wire: https://www.housingwire.com/articles/renofi-raises-6-4-million-to-help-lenders-offer-home-renovation-loans/
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Data Scientist | Phdata |
At phData, we build innovative data solutions that transform the way that our clients conduct business.
Our work is challenging and our standards are high, but you'll be set up for success with tooling, training, and colleagues who are among the brightest minds in the field. You will be working with the latest cloud-native and distributed data platforms on the market. Since the data and machine learning industry changes quickly, you have the opportunity to continuously learn. Our strategy is to remain innovative and cutting edge, while also ensuring our work is practical and unlocks real business value for our customers.
While we're growing extremely fast, we maintain a casual, small business work environment. We hire top performers and allow them the autonomy to deliver results. Our award winning workplace fosters learning, creativity and teamwork.
2022 Snowflake Partner of the Year
2022 Best Places to Work
Best Places to Work (2017, 2018, 2019, 2020, 2021)
Inc. 5000 Fastest Growing US Companies (2019, 2020, 2021)
Minneapolis/St. Paul Business Journal’s Fast 50 (2021)
Snowflake Elite, Snowpark Accelerated & Snowflake Partner of the Year (2020 & 2021)
We are looking for a Data Scientist who can apply advanced analytics concepts to real-world business problems for sustainable and cutting-edge solutions.
Responsibilities:
Work closely with client stakeholders to design, build, and deploy predictive models that drive business value
Wrangle and analyze large datasets to unlock insights
Drive business transformation leveraging statistics, artificial intelligence, machine learning and deep learning
Explain and review model results with clients and iterate based on feedback, including by applying model-explainability techniques to describe complex models
Work closely with cross-functional teams to manage business and technical requirements for a successful solution
Create documentation and blog posts to share knowledge with clients and the general data science community
Qualifications:
Required:
Bachelor’s or Master’s degree in a related field, ideally in data science, mathematics, economics, statistics, engineering, or information management.
2+ years performing advanced modeling techniques in a business environment
2+ years of demonstrated results working in complex data environments including the use of simulation and modeling tools, such as R, Python, Spark, SQL.
Fluency in Python, R or equivalent
Knowledge of advanced statistical techniques and concepts, such as regression, properties of distribution, statistical tests and proper usage.
Working knowledge of a variety of machine learning techniques, such as clustering, decision tree learning, artificial neural networks, and their real-world advantages and drawbacks.
Experience analyzing, evaluating, and creating data architectures.
Exceptional customer facing skills, including but not limited to communication skills and project management skills.
Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures.
Bonus
Two or more years of experience in consulting.
Working knowledge of cloud technologies like AWS, Azure and GCP
Experience with analytical tooling such as Dataiku, Alteryx, Knime, Tableau and Power BI
Graduate degree (Masters, PhD)
Why phData? We offer:
Enjoy our Remote-First Workplace and award-winning culture which prizes autonomy, creativity, and diversity
Competitive compensation, generous vacation (4 weeks PTO + 10 paid holidays) and excellent benefits including health/dental/vision and matching 401k
Other cool perks include paid certifications, personal development allowance and additional compensation for creating company approved content (dashboards, blogs, videos, whitepapers, etc.)
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Data Scientist | Curology |
Join us on the tech team of an extremely fast-growing, technology-driven startup that's making effective skincare accessible to everyone.
Our mission is simple: to make personalized skincare accessible and convenient for all. Awarded one of Inc's Best Workplaces 2019 and 2020 Forbes #8 Startup Company, Curology is a leader in direct-to-consumer e-commerce and has been featured in Vogue, Allure, Harper’s Bazaar, and Business Insider.
Curology is a technology company building the future of skincare through personalized prescription treatment. We believe that dermatology should be accessible to everyone—great skin shouldn't be a luxury, but a fact of life.
As a Data Scientist, you will be focusing on measuring and optimizing our Marketing investments across Curology and Agency brands. You will work with business teams, data engineering, data analyst, and product teams to turn data science ML models into product solutions. Prior experience with exposure to acquiring users in Direct to Consumer Brands cross-consumer products is a plus. This role will include projects ranging from MMM, Propensity models, Customer Profiling & Segmentation, Clustering, Incrementality, Attribution, A/B Testing and Design, ad hoc advanced analysis, etc.
In this role you will:
Work with business partners and cross-functional tech partners to deeply understand data, customer lifecycle touch points, business opportunities, and core business KPIs to continuously build test, validate and deploy ML models and advanced analytics techniques
Support the growth marketing team on MMM, incrementality testing, and customer segmentation to drive higher LTV/CAC ratios
Work closely with the Growth team on forecasting Marketing $ allocation based on channel response curves and ROI
Carry out rigorous model validation and model tuning/optimization as part of the natural model life-cycle
Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting, and optimization to drive business growth
Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production
Innovate with new approaches, staying abreast of current research in the field and the broader machine-learning community
You will be successful if you have:
A passion for data including problem-solving, critical thinking, and diving into data in order to understand specific areas of the business better than anyone else and become an expert in their domain and sought out by business partners for that expertise.
Sharp business judgment and the ability to see past the noise and are able to work independently in an unstructured environment
A strong communicator, attentive listener, and compelling explainer with the ability to focus on a problem, ask insightful questions, and gain expertise quickly
A curious nature and the drive to dig into data insights and proactively answer the "why" questions
You have 4+ years of experience in machine learning both on supervised and unsupervised algorithms
You have strong expertise in SQL, Python, R or similar programming languages Java, Scala
Education: Strongly prefer, MS/Ph.D. In CS, Math or Statistics
Nice to have:
Previous experience in digital media and marketing is a plus
You'll love working at Curology because...
Amazing team culture and environment
Awarded Great Place To Work & Inc.’s Best Workplace
Competitive salary and equity options
Unlimited, flexible PTO for exempt employees
Comprehensive benefits: Medical, dental and vision insurance are covered 90%+ for employees; flexible spending account; 401k
Paid maternity and paternity leave
Free subscription to Curology!
Company-sponsored happy hours and outings
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Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities. Notice to Applicants under the CCPA.
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Data Scientist Marketing | Devoted Health |
A bit about us:
We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.
Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.
A bit about this role:
The Principal Data Scientist, Marketing will serve as a crucial partner to our Operational teams, using data to answer important questions about how to grow the business; building robust data pipelines that underpin our products and operations; and fostering a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. They will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.
In this role, you will power the insights that enable the marketing team to intelligently engage with our prospects, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to Marketing, driving key initiatives such as how to optimize our multi-million dollar advertising budget. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as predictive modeling and experimental design.
Healthcare experience or previous experience driving Data Science initiatives for a Marketing team is a PLUS.
Responsibilities will include:
Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
6+ years of individual technical contributor experience
3+ years of working on Data Science initiatives for a Marketing or Growth team
Experience collaborating effectively with stakeholdersAdvanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis such as predictive modeling and experimental design to influence the business.
If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
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If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
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Senior Data Scientist | Ordergroove |
Ordergroove is looking for an extraordinarily talented, passionate and naturally curious person to help us reinvent how people shop by building machine learning-based recommendations systems using mass amounts of rich data to predict user behavior.
Our team is composed of problem-solvers who get excited about pushing the boundaries of what we can achieve, love learning and thrive in a fast-paced, collaborative environment.
The skinny
You will research and develop new ways that use our mass data to build long-lasting relationships for some of the biggest brands in the world, impacting the life's of millions of users
Evaluate and test the tradeoffs between competing machine learning models, methodologies and architectures
Collaborate daily with the data engineering team, product teams and other functional areas
The specs
3 years of experience in a data science role helping companies innovate products forward using machine learning
Excellent knowledge of Machine Learning/Statistical Modeling & Testing
Professional-level Python knowledge
Solid quantitative background, MA/MS in statistics, mathematics, computer science, economics, or another quantitative field is required
Passionate about leveraging the best of breed technology and eager to learn new skills
You are motivated and prepared to work in a fast-paced startup environment
Pluses:
Experience with testing tools such as R
Experience working with large data sets using tools such as Spark, BigQuery, Hadoop, etc.
Previous e-commerce experience
Start-up and SaaS experience highly preferred
About Ordergroove:
Raised $50M from top-notch investors
Remote-first team with members all over the world and an office in NYC that allows for in-person meet-ups if desired
Hundreds of customers including Honest Company, IL MAKIAGE, Petsmart, Walmart, L’Oreal, Unilever, Peet’s Coffee, KIND, Love Wellness, and Tula
In 2000, subscriptions transformed the software world with SaaS. In 2021, subscriptions are transforming the retail and DTC world as the fastest-growing segment of commerce.
Ordergroove’s SaaS product enables subscription experiences for hundreds of brands including The Honest Company, IL MAKIAGE, KIND Snacks, Peet's Coffee, L'Oreal, and Home Depot, shifting consumer interactions from one-and-done transactions to frictionless recurring revenue relationships. Via partnerships with leading eCommerce platforms like Shopify, Salesforce, Adobe Magento, and BigCommerce, Ordergroove's omnichannel product coupled with machine learning has processed billions of dollars in subscription volume for tens of millions of consumers.
Recently named one of the Best Companies to Work For in New York for the third year in a row, our values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes.
With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings.
At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO (you take vacation when you need it, not when you have earned the hours), a new work-from-anywhere policy (totally remote anywhere in the US, or you can go into the NYC office as much as you would like), and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day!
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Senior Data Scientist | 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 $20 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, home equity lines of credit (HELOC) and the upcoming launch of our first credit card product. 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
We are seeking a Senior Data Scientist within the Product and Conversion Analytics Organization focusing on user behavior, customer retention, innovation, market campaign modeling, and new product development. The successful candidate is an immersive data scientist with a passion for seeking truth and driving Prosper's growth and engagement strategy. You must be able to work both independently and in a collaborative environment with acute attention to detail.
Problems You Will Solve
Drive a data science pipeline to explore unchartered areas both with existing and new data sets; a concept critical to our future success as a company.
Partner with Product Managers to create, develop and integrate model development into the product roadmap trajectory.
Present findings, implementations and documentation to Prosper’s analytics community and to the company as a whole.
Keen focus on the company objectives: integrate closely with business units to develop analysis and predictive modeling to drive critical organizational decisions and developments.
Build and refine data structure from the ground up with a Data Engineering Team.
Actively participate in industry events on data science, analytics or modern computing techniques.
About You
Bachelor’s degree in computer science, statistics or mathematics
Masters or advanced degree / coursework preferred but not required
3+ years’ experience in a data analytics, predictive analytics or data science role.
Expert level knowledge of any two of SQL / Python / R or other mathematical programming languages.
Proven experience with feature engineering, statistical modeling techniques and/or ML techniques.
Demonstrated experience working with new and unstructured data sets.
Ability to present data cross functionally to a wide range of stakeholders, both internally and externally.
Ability to work in a fast paced, ever changing, start-up environment
Ability to drive solutions to complex problems quickly and successfully, both individually and as part of a team effort.
What We Offer
The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
The opportunity to work in a fast-paced environment with experienced industry leaders
Flexible time off, comprehensive health coverage, competitive salary, 401(k) employer match, paid parental leave
Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts
A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot
The ability to work remotely in the United States
#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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Senior Data Scientist | Splash Financial |
Splash is a leading digital lending platform that helps borrowers easily shop and compare financial products from a Splash-powered network of lenders. By bringing credit unions and banks of all sizes into one shopping experience, and utilizing our proprietary automated underwriting platform, Splash aims to help people save thousands of dollars in interest payments.
Splash has raised over $60 million in venture capital, recently completing a $44 million Series B round from partners of DST Global, Citi Ventures, Detroit Venture Partners, CMFG Ventures and Northwestern Mutual Future Ventures. Over the past 18 months, Splash has tripled in size to around 170 people and we’re looking for incredibly talented and passionate team members to join in our mission to make people more powerful than their debt.
Splash Financial is seeking an experienced data scientist to join its newly founded Data Science team as its new Senior Data Scientist. As a Senior Data Scientist, you will be working with Chief Data Science Officer to lay the foundation of cutting-edge AI/ML capabilities for the company.
About the Role
If you’re at a point in your career where you’re ready for the challenge and excitement of building something from the ground up, this could be the role for you.
We’re looking for an experienced self-starter who is not afraid of taking bold moves to build cutting-edge AI/ML capabilities. This is a great opportunity for one who’s looking to shape Splash’s AI/ML future. Details include:
· Co-lead with Chief Data Science Officer to stand up AI/ML capabilities, as well as develop and execute AI/ML roadmap: From data ingestion to feature store, from feature engineering to model development, from model deployment to model monitoring.
· Collaborate with Data team to identify the data and their organization needed for AI/ML development throughout customer lifecycle.
· Collaborate with other business functions to identify AI/ML opportunities in various areas.
· Collaborate with Technology team to identify the process, including control process, to deploy AI/ML models.
About You
You can choose to stay where you are and work remotely. Being remote is not an issue for us. You may be asked to travel to our headquarter in Cleveland, OH from time to time.
· 6+ years of relevant professional experience in data science; prior AI/ML experience in fintech or lending companies is a big plus.
· Master’s or PhD degree in quantitative fields.
· Exceptional knowledge in various AI/ML algorithms, including traditional algorithms like logistic and linear regressions.
· Exceptional python knowledge and popular AI/ML libraries, like sklearn, matplotlib, neural nets, tensorflow, etc. Familiarity or prior experience of using Amazon Sagemaker is a plus.
· Creative, bold and not afraid of taking charge, while still being an open mind.
· Strong communication skills; Able to explain complex, highly technical topics into basic English.
· A data person; not only not afraid of facing the data but also love to be immersed in vast amount of data.
· Proficient in setting up APIs and PMML-based implementation.
Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.
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Lead Data Scientist Machine Learning | Roofstock |
Roofstock is the leading marketplace for investing in single-family rental homes. Our mission is to make real estate investing radically accessible, cost effective and simple. We want to use technology to transform the way real estate is bought and sold and make real estate investing as simple as investing in stocks. Simply put, we are passionate about helping our customers build wealth through real estate.
Roofstock has been recognized as a Great Place to Work® and was recently named to the Forbes Fintech 50 and the Red Herring 100 lists of most innovative companies. Roofstock has raised over $135M to date and have offices across the US in Oakland, CA, Dallas, TX and New York, NY with approximately 500 people and is growing rapidly. Check out our reviews and see why our employees love working here!
We've built an amazing culture where everyone has a voice. We're nice. We get things done. We have fun. We believe in work-life balance (yes, you can really take a vacation). And our values are pretty B.A.D.A.S.S.
Be customer obsessed.
Act like an owner, because you are one.
Don't be afraid to break things in the pursuit of better.
All of us are empowered to do the right thing.
Stay curious and create what's next. Fast.
Seriously. No jerks.
The Advanced Machine Learning team builds scalable state-of-the-art deep learning and distributed ml systems. You will lead cross-functional teams to design, develop, optimize, and productionize best in class machine learning tools and put Roofstock ahead of the competition. As an early hire in the advanced ML group, you will be responsible for architecting and implement projects that augment human intelligence such as image and text analysis, big data record linkage and clustering, deep learning recommendation engines, and more. Thus, we are looking for someone with a solid experience in developing commercial large-scale machine learning systems.
What you will do:
Collaborate across teams to architect, build, and deploy machine learning solutions in distributed machine learning frameworks such as Spark
Take ownership of and drive technical projects to completion: anticipating roadblocks, developing strategies to mitigate risk, and making trade-off decisions between different modeling approaches and between short-term results and long-term goals
Translate ambiguous business needs into structured problem statements and testable hypotheses
Provide constructive and actionable feedback to team members; lead the adoption of industry standards and best practices within the team
Mentor junior colleagues and evangelize machine learning/statistical literacy in the organization and beyond
What you bring with you:
MS or PhD in computer science/engineering or equivalent
5+ years of hands-on experience in designing, building, and deploying to production distributed and deep learning frameworks and libraries such as Keras, PyTorch, Horovod, Ludwig, Ray, MXNet, bytePS. Bonus: proficiency in one of the top three cloud computing platforms.
4+ years of experience building machine learning models in python in a commercial setting; experience in another relevant language like Scala a plus
Strong fundamentals in statistics, and probability; ability to take a broad challenge and break it down into solvable components
Demonstrated ability to work independently, rapidly prototyping and testing new ideas
Demonstrated communication and collaboration skills to effectively present, explain, influence, and advise within cross-functional teams
Drive to solve problems, meet deadlines, and build whatever is necessary along the way
#LI-remote
#INDDS
For our regular full-time roles we offer a great benefits package!
Competitive compensation
Medical, Vision and Dental for you (95%) and your dependents (65%)
401k
Flexible time off and sick days
Supplemental bonus to support "work from home" office needs
Equity incentives to give you a stake in the Company’s future
We are an upbeat and collaborative work culture
Virtual company-sponsored outings
Roofstock is an equal opportunity employer. In keeping with the values of Roofstock, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
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Senior Data Scientist | Roofstock |
Roofstock is the leading marketplace for investing in single-family rental homes. Our mission is to make real estate investing radically accessible, cost effective and simple. We want to use technology to transform the way real estate is bought and sold and make real estate investing as simple as investing in stocks. Simply put, we are passionate about helping our customers build wealth through real estate.
Roofstock has been recognized as a Great Place to Work® and was recently named to the Forbes Fintech 50 and the Red Herring 100 lists of most innovative companies. Roofstock has raised over $135M to date and have offices across the US in Oakland, CA, Dallas, TX and New York, NY with approximately 500 people and is growing rapidly. Check out our reviews and see why our employees love working here!
We've built an amazing culture where everyone has a voice. We're nice. We get things done. We have fun. We believe in work-life balance (yes, you can really take a vacation). And our values are pretty B.A.D.A.S.S.
Be customer obsessed.
Act like an owner, because you are one.
Don't be afraid to break things in the pursuit of better.
All of us are empowered to do the right thing.
Stay curious and create what's next. Fast.
Seriously. No jerks.
As a Senior Data Scientist you will develop models and write code that solves a diverse set of business problems. You will work closely with product and other business teams to solve challenges across the company in a high-visibility role. This is an excellent opportunity to join an established but small and quickly growing company working on a wide range of projects with talented data engineers, data analysts, and other data scientists in an integrated Technology organization.
What you will do:
Build conventional statistical/econometric models for inference, and prediction focused machine learning systems that address:
Buyer segmentation, propensity modeling, & marketing automation
NLP and image recognition to extract signal from property listings
Property classification and ranking
Property recommendation, matching, and personalization
Economic modeling of property valuations, capital expenses, repair, maintenance, and operational expenses like tenant churn
Data mining for opportunity qualification
Work with structured and unstructured datasets
Write robust well-documented code, operating on a modern cloud stack (AWS and Azure)
What you bring with you:
Masters or PhD in statistics, computer science, economics, physical or quantitative social science, or a similar quantitative/computational field
5+ years of industry experience (4+ for MA/MS) shipping advanced statistical/ML models
Proficient in R and/or Python and their related data science ecosystems; experience with other languages/packages (e.g. Matlab, JMP, Stata, etc.) a plus.
Fluency in the language (both words and equations) of statistics, econometrics, and machine learning, and a clear ability to translate technical points into everyday language for general audiences
Expertise in a significant mix of the following estimation methodologies: OLS/GLS/MLE and regularization of same; time series and panel techniques; design of experiments; censored, truncated and discrete data methods; method of moments; nonparametric and semiparametric estimation; model diagnostics; machine learning modeling (SVM’s, neural nets, boosting, random forests, bagging, and CART); Bayesian estimation; geographic and spatial modeling; and, most importantly, a clear understanding of how to match the technique to the data and the business problem.
Engineering skills: ability to write quality code that runs on servers.
Ability to work independently, rapidly prototyping and testing new ideas
Drive to solve problems, meet deadlines, and build whatever is necessary along the way
Experience understanding the strengths and weaknesses of different modeling approaches and can effectively reason about when to apply different combinations and iterate
Expert communication, facilitation, and collaboration skills to effectively present, explain, influence, and advise within cross-functional teams
#LI-Remote
#INDDS
For our regular full-time roles we offer a great benefits package!
Competitive compensation
Medical, Vision and Dental for you (95%) and your dependents (65%)
401k
Flexible time off and sick days
Supplemental bonus to support "work from home" office needs
Equity incentives to give you a stake in the Company’s future
We are an upbeat and collaborative work culture
Virtual company-sponsored outings
Roofstock is an equal opportunity employer. In keeping with the values of Roofstock, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
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Senior Data Scientist | Keeptruckin |
About the job:
We’re looking for a Senior Data Scientist to build the models that power a key new focus area for KeepTruckin. As a member of our team you’ll help frame the problems, build models and products that win customers, and leverage machine learning at a massive scale to solidify KeepTruckin’s technology lead in the connected fleet management space.
You’ll embed yourself deep in the world of trucking and help understand the forces that govern it. Working with geospatial, transportation, and economic data, you’ll help optimize the way freight moves throughout North America.
Responsibilities:
Build, improve, and maintain machine learning models
Apply statistical models and quantitative analysis on large datasets to measure and identify areas for improvement/optimization in the product
Lead the effort for collection of new data and refinement of existing data sources
Identify and help implement tools to analyze this data effectively
Educate and steer the organization towards adopting a more data-driven approach
Qualifications:
Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
5+ years experience in data science, machine learning, and data analysis
Expertise in applied probability and statistics
Deep understanding of machine learning techniques and algorithms
Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a big plus
KeepTruckin is a rapidly growing startup headquartered in San Francisco. We offer fantastic benefits, a phenomenal office culture, unlimited PTO, and a stocked kitchen with catered lunches daily.
Please do not let an arrest or conviction record prevent you from applying for employment at KT. KT considers qualified applicants with arrest and conviction records.
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Data Scientist Deliverability Compliance | Klaviyo |
The Deliverability and Compliance team is in charge of protecting Klaviyo from phishers and other bad actors that want to abuse the platform. It’s also in charge of making sure the legitimate content gets through to recipients. Data science is being used to guide those processes and add intelligence to the way we vet accounts and content on the platform. You’ll sit alongside software engineers and product managers to directly improve the systems we have in production.
Klaviyo is growing fast and we have openings for all skill levels across data science. Listen to our data science team podcast at https://medium.com/klaviyo-data-science and learn more about our technical culture at https://klaviyo.tech
Our data science team works on two types of projects:
Building features. We take ideas from inception to new machine learning-powered features that ship to our hundreds of thousands of users. You’ll be central to creating features that help our customers learn and grow from their data.
Support the business. We perform analyses, build models, and run experiments to make the Klaviyo business more efficient. You’ll work directly with stakeholders within the company and contribute directly to business processes at Klaviyo.
We’re looking for people who are strong at math, modeling, experimental design, and putting themselves in the shoes of customers. You should be interested in all aspects of what it takes to go from idea to generally available feature or internal solution, even if your strengths and experience today fall primarily in one area.
The ideal candidate has a background in data science, statistics and machine learning and has done work ranging from exploratory analysis to training and deploying models. We use a wide variety of data mining and machine learning algorithms. The right candidate will have both a solid fundamental understanding of and practical experience with at least a few modeling and machine learning techniques.
You should have experience presenting data to help people make better decisions. We’re focused on shipping early and often. We prefer iterative solutions that are incrementally better to the perfect solution.
How you will make a difference:
Build data science-powered features that our customers love and help them grow faster. Examples of features we’ve added to Klaviyo: A/B testing, personalized product recommendations, and creative assistance.
Use data science to help Klaviyo grow faster. This includes building smart algorithms to automate processes that are currently manual, performing analyses to help our internal teams know how to best target their resources, and building predictive models to better understand our customers and business.
Analyze large data sets (we’re collecting billions of individual actions every month).
Who you are:
Possess a strong fundamental understanding of at least some machine learning algorithms (e.g. regressions, decision trees, k-means clustering, neural networks).
Capable of analyzing data and making rigorous statements about what can or cannot be concluded.
Know how to design and implement model performance/validation assessments.
Have a background in statistics and understand different distributions and the conditions under which they’re valid.
Know how to code and have used data science tools and packages.
Have demonstrated a measurable impact based on the models you’ve created. It’s not always easy getting a model correct and we love talking about places we got stuck and working as a team to think through ideas that could unblock us.
Have a desire to ship features powered by data science (in other words, you’re excited by both upfront research and actually getting models into production at cloud scale); OR
Have a desire to work directly with business stakeholders to create tools that will provide insight and make them more efficient.
Bachelor’s or advanced degree in statistics, applied mathematics, computer science or other relevant quantitative discipline, or equivalent industry experience.
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Principal Data Scientist | Imo |
Research shows that women and underrepresented groups only apply to jobs only if they think they meet 100% of the qualifications on a job description. IMO is committed to considering all candidates even if you don’t think you meet 100% of the qualifications listed. We look forward to receiving your application!
Work that is meaningful. A job that has impact. Colleagues that inspire. That’s what you’ll find at Intelligent Medical Objects (IMO), a growing health IT company creating clinical terminology and insights solutions that are used by more than 500,000 US physicians and 4,500 US hospitals to power better patient care and support meaningful analytics.
At IMO, a core team of clinicians, software developers, and data scientists combine computer science and medical expertise to help patients and healthcare professionals access high quality health information quickly and easily to improve total patient health. We are currently in need of aPrincipal Data Scientist to join this team! The ideal candidate will be intricately involved in collaborating across the enterprise, running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients.
Join our growing Software Engineering department as aPrincipal Data Scientist to help design, create, and support high quality solutions that support 80% of US clinicians and build the application of Data Science within IMO!
Responsibilities
A thorough understanding of data science, analysis, and software engineering principles and the ability to mentor data scientists. Collaborate with both management and software development teams to ensure the right solution is deployed in the right way. Facilitate the creation of strategic department-level initiatives. Establishes and improve on the department’s technical standards, mentors the department on standards, and ensures alignment with architectural direction. Leverages machine learning and data mining techniques. Combines data extraction, preparation, and cleaning with model training and evaluation. Designs, develops, and implements programs, processes, and systems to generate actionable insights and drive business decisions. Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources in a Production environment. Interprets and communicates insights and findings from analysis and experiments for a multi-department audience. Supports organizational decisions with well-understood and actionable insights, models, and artifacts. Implements advanced statistical and predictive modeling techniques, focusing on clear algorithmic methods, models, and visualizations. Stays current on data science and analytics tools, techniques, and practices.
Requirements
Master’s degree in Math, Statistics, Data Science, Computer Science, or a related field; PhD preferred. Strong experience building machine learning models that have been deployed to production and adopted. Demonstrated experience deploying, maintaining, versioning, and A/B testing machine learning models. Demonstrated experience working with cloud platforms Experience with graph databases Demonstrated experience and skill developing and deploying full-stack solutions in Python including: Experience with Spark, pySpark, Experience with deep learning, NLP, TensorFlow and TensorFlow Serving. Experience with, and the ability to follow standardized development practices and tools, including TFS/GIT, code standards, and process standards. Experience with CI/CD tools or environments. Demonstrated proficiency writing unit tests using standard unit test frameworks. The ability to understand and create process documentation. Advanced knowledge of statistical techniques, concepts, methods, and approaches, and experience with their application. Proficiency and comfort using multivariate calculus and linear algebra.
IMO provides visa sponsorship opportunities. Please don't hesitate to apply if you meet all the qualifications for this position and require visa sponsorship.
#LI-PL1 #LI-Remote
At IMO, we celebrate diversity and are committed to creating an inclusive environment for all employees. IMO is proud to be an equal opportunity workplace and is an affirmative action employer.
Apply for this job
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Senior Data Science Manager | Coinbase |
We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
What you’ll be doing (ie. job duties):
Manage a team of data scientists partnering with a cross functional team of engineers, designers and product managers who are building Coinbase’s new NFT marketplace, our GiveCrypto charitable offerings, our USDC stablecoin products and our Custodial products for institutional investors.
Help set goals and metrics to guide and prioritize product roadmaps
Design experiments to measure the impact of new product features
Scale data-informed decision making through ETLs and reporting dashboards created by your team
Identify opportunities to help inform the strategic direction of our fast growing business
Guide data scientists in their technical and professional development
Work closely with recruiting and other data team managers to help grow the team
What we look for in you (ie. job requirements):
5+ years of experience in managing other team members in a formal or informal capacity
10+ years of experience doing quantitative analysis at a technology company,
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Demonstrated ability to distill insights into strong product recommendations and utilize experimentation to test any data-led hypotheses
Experience communicating the results of analyses to leadership teams to influence the vision and roadmap of the company
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is $236,725 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
ID=G2219
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law). If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
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Principal Data Scientist | Liveperson |
Principal Data Scientist - Remote
United States | Data Science & ML
Apply
LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environmentYou can build partnerships that move our business forwardYou build code that is simple, understandable, and clean You see feedback or failure as motivation to learn and to growYou believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts
In this role you will:
Create, develop, and apply machine learning approaches to conversational decision making and dialogue management in both a commercial and research settingUse your expert knowledge of state-of-the-art methods and tools to consistently find the most effective, efficient, stable, explainable, and elegant approachesDesign and build modern, flexible machine learning training pipelinesAnalyze large scale conversational datasetsBringing research-driven models to life within production systemsCreating durable, flexible scientific deployment and experimentation capabilitiesWork on challenging unsupervised and semi-supervised problems related to dialog management, and create pipelines to accelerate and scale this effortUse and present research findings in ways that inform and sometimes guide business and product strategyLead publication efforts in top dialogue conferences such as ACL, SIGdial, Neurips, Interspeech…etc
Your qualifications are:
Masters/PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related fieldPublication history in AI/ML/NLP conference with a focus on dialogue management research OR extensive experience within the commercial space working on production dialogue management systems.Hands on experience with Deep Learning for dialogue management Analysis, problem-solving, communication, and critical-thinking skillsStrong understanding of Machine Learning fundamentalsStrong programming experience in PythonStrong communication skills and a team player
#LI-Remote
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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Senior Data Scientist | Liveperson 0Fff2Dee 0Bf4 44F7 85B4 5C3623F41449 |
Senior DataScientist- Remote
seattle, united states | Data Science & ML
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LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environmentYou believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts
In this role, you will work with one of the world’s largest goal-oriented conversational datasets to push the boundaries of computational linguistics and drive innovative new products. In addition to a world-class data set, you’ll also have an at-scale population of expert data annotators (contact center agents) to help drive investigation and learning.
In this role you will:
Propose and execute research efforts that drive product strategyApply deep learning and NLP methods to learn and derive value from one of the world’s largest goal-oriented conversational datasets.Research and build systems that support the next-generation conversational AILead data science projects.Present your results to internal and external stakeholders
Your qualifications are:
Ph.D. in Computer Science Hands on experience in Deep Learning Strong programming experience in Python/Java/C++Good communication skill and a team playerPublications in AI/ML/NLP conferencesPrior work experience or internship in industry
#LI-Remote
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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Data Scientist Ii | Liveperson |
Data Scientist II - Remote
United States | Data Science & ML
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LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environmentYou believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts
In this role, you will work with one of the world’s largest goal-oriented conversational datasets to push the boundaries of computational linguistics and drive innovative new products. In addition to a world-class data set, you’ll also have an at-scale population of expert data annotators (contact center agents) to help drive investigation and learning.
In this role you will:
Propose and execute research efforts that drive product strategyApply deep learning and NLP methods to learn and derive value from one of the world’s largest goal-oriented conversational datasets.Research and build systems that support the next-generation conversational AILead data science projects.Present your results to internal and external stakeholders
Your qualifications are:
Ph.D. in Computer Science Hands on experience in Deep Learning Strong programming experience in Python/Java/C++Good communication skill and a team playerPublications in AI/ML/NLP conferencesPrior work experience or internship in industry
#LI-Remote
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits and, flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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If you’d like, please share with us some additional information about yourself (e.g. your race, ethnicity, sexual orientation, gender identity, and disability information). It’s completely voluntary. This information will be used to help us know more about people who interview with us and ensure representation in who we consider in our efforts to provide an equal opportunity to everyone who wants to work at LivePerson.
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Senior Data Scientist | Pecan Ai |
With Pecan, organizations can obtain and deploy AI models in days, without relying on data scientists. Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, Churn, NBO, Risk, and Segmentation. Pecan does not require from its customers any data preparation, engineering or prepossessing - it connects directly to raw data, and uses neural networks to automate the entire predictive process.
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
90+ employees and growing very quickly
HQ in Tel Aviv with growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.
Who You Are & What You'll Do
As a data scientists team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business. In addition to data analysts and scientists you will work closely with the following levels in our client’s organizations:
C - level executives and VPs
Data analysts
DBA’s
DevOps engineers
Together with the team, you will be continuously helping our clients achieve their business goals, reinforce the value of Pecan’s modules, and the ease of use of our platform.
You will handle complex data science challenges using state-of-the-art techniques such as: custom loss-functions, auto-encoders, embeddings, LSTM and many more.
Requirements
- 5 years of experience as a data scientist working on tabular data- Bsc in a relevant field- Proficient in Python, SQL, and Spark- Experience in creating measurable value with ml (defining KPI's, designing AB tests, monitoring)- Experience with AWS / Databricks - advantage
*This position requires an authorization card in the US.
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Lead Learning Scientist | Panorama Education |
About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes and advance student equity by helping educators act on data and research to improve their practice.
Research is critical to the work we do—our survey measures, reporting analytics, and product offerings. It’s part of our identity.
If you thrive on connecting learning science to educational practice, continue reading. We are seeking a Lead Learning Scientist who will partner with colleagues across our organization, most importantly our product, design, and engineering leaders, to apply social science scholarship to product development and company strategy.
Responsibilities:
You’ll provide timely, relevant, authoritative, and usable guidance to leaders across the organization, based on best practices and scholarship from social science.
You’ll help hire, organize, and support a team of research scientists with complementary backgrounds and expertise to execute high-value research projects in a rigorous, timely manner.
You’ll proactively incorporate evidence and insights from psychology, educational research, learning science, and human development into high-level product strategies, planning, and decision-making.
You’ll collaborate with cross-functional groups of software engineers, data scientists, product managers, and product designers to imagine, design, and build research-based products that are used and loved by practitioners
You’ll help build a network of leading education scholars and policy experts to advise Panorama on product strategy.
You’ll design and oversee high-impact empirical research that leverages Panorama’s unique datasets to address key questions of interest to practitioners and policymakers
You’ll communicate research findings to colleagues, clients, and the education community at large, and author thought-leadership pieces for placement in important publications.
Our Ideal Candidate Has:
A terminal research degree in a relevant field (e.g., social science Ph.D., EdD), and preferably at least two years of postdoctoral experience in education research
At least five years of experience working in an industry setting to apply social science to K12 educational practice
At least two years of professional experience working with software engineers, product designers, and/or product managers to develop educational products
Scholarly expertise in relevant domains, including but not limited to educational psychology, human development, and social-emotional learning
A compelling record of written and oral communication, with preferably one or more relevant first-authored publications in leading peer-reviewed journals
A deep understanding of and empathy with the real-world challenges faced by educators
A passion for using research to radically improve student outcomes
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Data Scientist | Panorama Education |
About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice. If this sounds exciting to you and you want to make an impact as a Data Scientist, keep reading.
Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to leverage data science to advance critical research and development (R&D) efforts for our products.
In this role:
You will compile, clean, manage, analyze, and visualize large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
You will contribute to data pipelines and infrastructure to enable product development and educational research and apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
You will imagine and help implement data-driven products that aid educators to better support students by collaborating closely with other data scientists, researchers, engineers, designers, and product managers.
You will work with colleagues and company leadership to develop our data science strategy, priorities, and practices and clearly communicate learnings, findings, and best practices to other data scientists and researchers.
This role is for you if you:
Have relevant experience, formal education, or training in data science, data engineering, or statistics and enjoy problem-solving through data and analytics to reveal insights and improve decision-making
Can apply traditional or modern statistical methods to analytic problems including, for example, regression, multilevel modeling, psychometrics, dimension reduction, clustering, machine learning, natural language processing, and causal inference
Are comfortable in one or more relevant programming languages (e.g., Python, R) and data manipulation tools within programming language(s) (e.g., Pandas, dplyr)
Are a team player who thrives in a collaborative, small-team environment.
Note: We at Panorama hope to bridge the confidence gap in our hiring process. If some of the above describes you, we encourage you to apply!
Nice to haves:
Can manipulate large datasets through parallel computing (e.g. Dask, concurrent.futures in Python, multidplyr in R) and convert them into analyzable formats
Prior experience working with software engineers and/or product managers as a data scientist, engineer, or analyst
Familiar with cloud environment(s), such as AWS or GCP.
Experience using GitHub collaboratively
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Sr Data Scientist Human Resources | Cvs Health |
Job DescriptionThe HR Analytics and Reporting team at CVS Health leads the organization’s understanding of workforce insights and organizational health. We evaluate talent and culture information to make evidence-based decisions and create a stronger workplace experience. Our team uncovers holistic data-driven business opportunities across the talent lifecycle to enable transformational change and operational efficiency.The ideal candidate is responsible for end-to-end problem-solving and communication on workplace insights: diagnosis, integration and transformation, analysis, visualization, and presentation. They possess strong quantitative skills, can manage multiple projects simultaneously, and can communicate effectively to a wide-ranging audience. • Consulting with HR partners and business leaders to understand their unique challenges and provide strategic decision support through data and analytics• Applying knowledge in quantitative and qualitative analysis, as well as data visualization, to create clear and compelling narratives that inform business strategies• Distilling key findings into visually appealing, insightful, and concise presentations for senior management including the CEO and the Board of Directors• Collaborating closely within HR to automate data pipelines, drive self-service access, and deploy powerful, interactive data visualizations to be consumed by different parts of the business• Data savvy – Be comfortable in querying large datasets, with the ability to help manipulate and construct the right data structures starting with the end in mind• Data experimentation – Eager to learn and/or challenge existing data architecture and apply innovative tools to improve delivered data insights.In order to be successful in this role you must exhibit the following: • Strong data visualization skills, preferably with Tableau, QlikView/Sense, Power BI, or able to demonstrate transferability from other platforms.• Data set creation skills including the ability to combine and clean large data sets, preferably with Alteryx or similar tools.
Required Qualifications• 5+ years of relevant Data Science and business experience.
COVID RequirementsCVS Health requires its Colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, or religious belief that prevents them from being vaccinated.
If you are vaccinated, you are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status within the first 10 days of your employment. For the two COVID-19 shot regimen, you will be required to provide proof of your second COVID-19 shot within the first 45 days of your employment. In some states and roles, you may be required to provide proof of full vaccination before you can begin to actively work. Failure to provide timely proof of your COVID-19 vaccination status will result in the termination of your employment with CVS Health.
If you are unable to be fully vaccinated due to disability, medical condition, or religious belief, you will be required to apply for a reasonable accommodation within the first 10 days of your employment in order to remain employed with CVS Health. As a part of this process, you will be required to provide information or documentation about the reason you cannot be vaccinated. In some states and roles, you may be required to have an approved reasonable accommodation before you can begin to actively work. If your request for an accommodation is not approved, then your employment may be terminated.
Preferred Qualifications• Knowledge of advanced analytics tools and languages (proficient experience with Python, R, SAS, SQL)• Knowledge of HR business systems (HCM, ATS, Workday experience a plus)• Experience working in a data warehouse or data lake environment
EducationBachelor’s degree in quantitative field, or an equivalent combination of formal education and experience.
Business OverviewBring your heart to CVS HealthEvery 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.
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Lead Data Scientist | Cvs Health |
Job DescriptionFundamental Components:· Develop, automate and maintain analysis ranging in complexity from basic application utilization to complex outcomes evaluation analysis.· Apply simple and complex mathematical models in order to sniff out and test for the effects of theories and measure the impact of digital interventions in the real world.· Communicate findings and new capabilities to a wide range of stakeholders; from CEO’s and Presidents to low level engineers and developers.· Deploy a developed model onto a server or in a cloud based data architecture, tailoring implementation methods to match scale, speed, and complexity of the problem we are trying to solve.· Work towards the goal of creating a cross-functional team capable of working from a Kanban.· Utilizing agile software development rituals to align closely with dev teams and deliver value through integrating data derived insights and capabilities into the application.The typical salary range for this role is $140,000 to $209,000.This role will ideally be based in Denver, CO but has flexibility to work remotely anywhere in the U.S.This position is eligible for a CVS Health bonus plan or program.Benefit Overview:https://jobs.cvshealth.com/employee-benefits?prefilters=none&CloudSearchLocation=none&CloudSearchValue=none
Salary Range140,000.00 – 209,000.00
Required Qualifications· 3+ years’ experience analyzing raw clickstream data coming from a smart phone/desktop application.· Strong applied mathematics background building a working knowledge of clinically sound modeling and analysis techniques such as multi-state mixed models, intervention based time series, complex designs of experiments, hierarchical clustering, structural equation modeling, hypothesis testing, etc.· Strong knowledge of statistical programming languages/tools such as: R, Python, SAS, SPSS, Stata, etc.· Strong experience in SQL and analyzing big data, utilizing multi-threading/parallel processing to process large datasets in memory (tera- or petabytes) when needed.· Strong knowledge of databases, tools, libraries and programing languages like Hadoop, GCP, Dash, AWS, Spark, SQL, NOSQL, Hive, d3.js, Tableau, Adobe, Java and node.js.
COVID RequirementsCVS Health requires its Colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, or religious belief that prevents them from being vaccinated.
If you are vaccinated, you are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status within the first 10 days of your employment. For the two COVID-19 shot regimen, you will be required to provide proof of your second COVID-19 shot within the first 45 days of your employment. In some states and roles, you may be required to provide proof of full vaccination before you can begin to actively work. Failure to provide timely proof of your COVID-19 vaccination status will result in the termination of your employment with CVS Health.
If you are unable to be fully vaccinated due to disability, medical condition, or religious belief, you will be required to apply for a reasonable accommodation within the first 10 days of your employment in order to remain employed with CVS Health. As a part of this process, you will be required to provide information or documentation about the reason you cannot be vaccinated. In some states and roles, you may be required to have an approved reasonable accommodation before you can begin to actively work. If your request for an accommodation is not approved, then your employment may be terminated.
Preferred Qualifications· Experience working in application development/software industry.· Demonstrated ability to communicate technical ideas and results to non-technical stakeholders in written and verbal form.· Strong organizational skills; excellent analytical and problem solving skills.
EducationBachelor’s Degree required in a related field (Physics, Computer Science, Econometrics, Advanced Statistics, etc.).Masters Degree preferred
Business OverviewAt CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited 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 Population Health | Thyme Care |
Thyme Care is an oncology digital health start-up that’s focused on radically improving the cancer experience with early and ongoing intervention. We help individuals with cancer, their caregivers, clinicians, health plans, and employers by coordinating integrated care that leads to better results, lower costs, and aligned incentives. Every Thyme Care member is assigned a personalized team of physician-guided oncology nurses and resource specialists who provide education, guidance, and advocacy as they navigate the complex healthcare system. We facilitate quick access to quality resources and high-value care, coordinating directly with providers and offering support every step of the way. Our high-touch, tech-enabled model generates actionable insights that allow us to identify at-risk members earlier and offer them the most relevant support based on where they are in their cancer journey—closing gaps in care and eliminating excess spend.
Your Role:
As a Population Health Data Scientist at Thyme Care, you’ll work with our Product, Engineering, Clinical, and Growth teams to provide insights to shape our growth and support the continuous improvement of our care navigation platform. We sit at the intersection between patients, health plans, oncology providers, ACOs, and other value-based care organizations. You will develop analytical models to identify our members’ longitudinal needs and design interventions to improve their outcomes. You will also be a champion for leveraging member-level claims and clinical data to ensure a truly patient-centric approach for our members.
After three months you will:
Gain a deep understanding of Thyme Care’s data ecosystem and analytic capabilities.
Work with our product and commercial team to develop the infrastructure that allows us to identify opportunities to improve the quality of our products and increase the impact of our services on members’ lives. For example, you will have worked with our Product and Care team to measure the efficacy of our Symptom Management interventions by analyzing member reported outcomes as well utilization metrics derived from claims data.
Partner with the Care, Clinical, and Product teams to understand business needs and translate them into analysis plans and technical implementation.
Build and deploy dashboards driven by actual data and real models to deliver insights for the way we navigate care for our members. For example, you have analyzed historical utilization patterns for palliative care and hospice, and partnered with the Product team to improve the quality of life for our members’ with advanced cancers and ensure that their treatment is aligned with their individual goals.
After 6 months you will:
Translate organizational needs into formal hypotheses, identify and execute on the most appropriate data science or statistical analysis for the job, and deliver insights back to the stakeholders.
Interface with other parts of the organization and be recognized as a competent and respectful contributor. You will contribute to the translation of our data assets into business opportunities and strategic initiatives for Thyme Care.
Build and lead key relationships with our payer partners, and become the first line of contact for their inquiries on interventions and outcomes
What leads to success:
People-first: Thyme Care’s mission and members matter to you, deeply.
Experience: You have worked with product teams and stakeholders before to understand their goals and questions to support them. You can define and acknowledge tradeoffs between methodological rigor and need to get a quick signal. You have worked with large data sets and are comfortable with statistical modeling. (GLM, hierarchical models, difference-in-differences, supervised versus unsupervised learning are not foreign concepts.)
Technical ability: You can work with SQL (selects, filters, joins, views, CTEs, etc) and open source programming languages (R or Python) for data analysis and visualizations. You know how to leverage software engineering best practices such as testing, code review, and documentation. Optionally, you may be familiar with dbt.
Curiosity: You have a drive to understand how things work and love sharing that knowledge with others.
Comfort with ambiguity. You have a proven track record of success within scaling businesses, fast-paced environments, and ambitious startups. You know how to chart a course through ambiguous challenges.
We are committed to promoting the health and well-being of all individuals. As a provider of cancer care navigation, we recognize that those with cancer constitute a vulnerable population at risk of contracting COVID-19. As such, Thyme Care has adopted a mandatory COVID-19 vaccination policy, requiring all employees to receive a COVID-19 vaccination as a condition of employment, subject only to conflicting laws and approved exemptions based on medical or religious objections.
Additionally, we believe employees should be paid fairly compared to their peers inside the company and in the market. We also believe that your personal needs and preferences should be taken into consideration so we allow some choice between equity and cash.
We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal opportunity employer.
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Subsets and Splits