Senior Product Data Scientist

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.
As a PDS at Cash App you will:
Partner directly with a Cash App product team, working closely with product managers, engineers, and designersAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
You have:
A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role ORA graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant roleAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with scripting and data analysis programming languages, such as Python or RExperience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building

Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $152,100 - USD $185,900Zone B: USD $144,500 - USD $176,700Zone C: USD $136,900 - USD $167,300Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Lead Square F S

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
The goal of this team is to empower Square F&S org with data driven decision making, by defining and developing the metrics and KPIs (actual & forecasted) to track Square business against organizational goals. You will lead the data engineers in the team to build the required laying foundations.You are a self-starter and you are comfortable working cross-functionally with other teams across Square and enrich those relationships.
You will:
Partner with Square F&S org and be responsible for co-defining metrics & KPIs that will be used to track product’s performance by various GTM, product and other teams.Lead, coach and mentor a team of data engineers and build data driven culture in the team.Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
8+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working with finance/accounting team on designing metrics to track company’s performance
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Staff Data Scientist Model Risk Management

Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
The Model Risk Management Team is dedicated to ensuring regulatory compliance, supporting the reduction of potential errors or bias, and promoting appropriate use for models created and maintained by Block. The team achieves this by establishing and implementing model governance frameworks, validating and monitoring model performance, and providing guidance on best practices for model development and risk management.  This is a foundational team within compliance, which means it will support and collaborate with all key functional areas of Block regardless of the product or market.
We are looking for a Staff Data Scientist with model validation experience to join our team and support our model risk management activities. Your responsibilities will include validating machine learning models as applied to regulatory compliance such as anti-money laundering (AML), Know Your Customer (KYC), and sanctions screening. You will also provide analytical support and insights to improve our model development, and documentation standards.
You should have strong quantitative skills, attention to detail and knowledge of relevant regulations and industry best practices. You will be fully remote and report into our Foundational Model Risk Management Lead.
Responsibilities:
Validate machine learning models using data analysis, testing procedures and quality assurance methodsEvaluate and improve model validation activities, processes, and metricsAssess and advise on model governance frameworks, and development practicesIdentify model risks, issues, and gaps to managementProvide analytical support and insights to improve model development, validation, and documentation standardsStay updated on latest trends, developments and best practices in machine learning and compliance risk managementMaintain validation documentation following internal policiesDevelop monitoring dashboards for ongoing model performance monitoring (e.g. model drift)Coordinate with business partners, Data Science, Product, Engineering & TechnologyDevelop partner relationships and have a understanding of the businesses
Qualifications
Required:
Bachelor's degree in the physics, economics, statistics, or a similar STEM field with 8+ years of related work experience; Graduate degree w/ 5+ years of relevant working experience; or 9+ years of relevant working experienceKnowledge of data science modeling techniques, methodologies (e.g. familiarity with deep learning, boosted trees, and unsupervised learning)Experience with scripting and data analysis programming languages, such as Python (preferable) or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau)Quantitative skills with the ability to interpret complex data setsExcellent communication skills with the ability to present technical information clearly and concisely
Preferred:
Experience in validating machine learning models related to compliance regulations such as AML, KYC, sanctions screening, or fraud detection Prior experience in compliance risk management Knowledge of regulatory frameworks such as SR 11-7
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Product Data Scientist

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.
As a PDS at Cash App you will:
Partner directly with a Cash App product team, working closely with product managers, engineers, and designersAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
You have:
1-2 years of data science and analytics experience in industryA PhD or other relevant graduate degree in the physics, economics, statistics, or a similar STEM fieldExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building

Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Science And Analytics Manager Streaming Product

Streaming entertainment is at the heart of Netflix. Members want a seamless, immersive Netflix experience, and we deliver it with a symphony of systems working together behind the scenes. Content files must be encoded, distributed to our content delivery network, then adaptively streamed by the wide range of devices our members use to watch the content they love. Our data science and analytics team takes a holistic approach to measuring and improving these systems and their ultimate impact on Netflix members. As we add games, live content, and ads into the Netflix product, we’re asking new questions about how the streaming product should work and how to best serve our members. Our end goal is to drive the quality of the entertainment experience higher and higher for each of our global members.
What you'll do
We’re looking for an accomplished data science and analytics leader for the core streaming andencoding business areas. You'll lead a diverse team of talented, senior individual contributors who are experts in the fields of analytics, experimentation, and machine learning. You'll partner with engineering teams to optimize the Netflix streaming product with an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges. Experimentation is a critical part of our DNA, so you’ll contribute to smarter, faster, easier friendly ways to experiment.
You have
Experience hiring and leading high-caliber, data-focused teams with diverse technical strengthsExperience creating and fostering an inclusive team cultureExperience partnering with technical engineering or product teams Demonstrated strength for applying statistics and experimentation to solve problemsStrength in independently finding opportunities and executing on science and analytics challenges for maximum business impact
Netflix culture
Netflix'sculture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for roles in this area of Netflix is typically $310,000 - $1,200,000.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn morehere.


Data Scientist

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us and start doing your life’s best work.(sm)
As the Data Analyst 2, you will act as the Analytical expert and will provide analytic leadership to support Government Program operational reporting and analytics, planning, forecasting, machine learning and process improvements. You’ll work closely with business leaders to develop innovative analytic solutions, create actionable insights and drive better decisions and performance to help Government Operation fulfill its mission.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Communicate with business operations team, understand the requirement Develop innovative analytic solutions, create actionable insights and drive better decisions and performance to help the business achieve its business objectives Support operational analytics, machine learning and process improvement data deep dive, identify and execute on new opportunities for increases in efficiencies and performance  Support data governance and stewardship work streams Develop predictive model and solid analytics solutions Formulate hypothesis, develop queries and models to evaluate hypothesis and formulate solutions to drive process & performance improvement Develop visionary and creative analytic solutions to measure business performance; identifies / quantifies drivers, risks and opportunities and defines solutions to mitigate risks and leverage opportunities Influences senior leadership to adopt new ideas, projects and / or approaches
Competencies:
Self-starter and should have solid coding mindset and facilitation skills that will quickly develop relationships across the organization while building a collaborative work environment Solid business acumen and critical thinking ability Solid problem-solving skills with the ability to anticipate, identify and diagnose problems and make recommendations Candidate must be goal-directed, persistent and driven to achieve positive results. Is positive influence on others and deals well with set-backs. Identifies integration issues, removes barriers and tracks project status in order to obtain desired results Detail orientation – getting “into the trenches” to evaluate all aspects of operations. Pivotal to success will be the ability to take a hands-on approach to getting the information needed and driving effective and lasting change Serve as a solid coach and will foster career development of team members
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Please review the required qualifications as posted below. To be eligible to apply and be reviewed for the position, the candidate must meet or exceed all posted required qualifications listed.  Please attach an updated resume and detail your experience for the required qualifications. We value your time and interest in this position and thank you again for taking the time to review the job posting.
Required Qualifications:
Bachelor’s degree and equivalent combination of education, experience  5+ years of experience utilizing SQL and/or relational database tools 3+ years of experience in reporting & analysis, data management & reconciliation  2+ years of experience within a Data Science environment with demonstrated experience with big data tools and platforms (SAS, R, Python, Spark, Databricks, Hadoop, Hive, etc.) 2+ experience applying computational algorithms, statistical and programming methods to structured and unstructured data 2+ years of experience with Tableau Proven ability to demonstrate key successes on business solution derived from analysis and deep learning
Preferred Qualifications:
Experience with Power BI  Experience with ETL Snowflake experience Project Management (Agile, Waterfall methodologies) and Operational (claims, call center, etc) experience Analysis experience within managed care/health insurance industry experience in government programs, and/or finance
Careers with UnitedHealthcare. Work with a Fortune 5 organization that’s serving millions of people as we transform health care with bold ideas. Bring your energy for driving change for the better. Help us improve health access and outcomes for everyone, as we work to advance health equity, connecting people with the care they need to feel their best. As an industry leader, our commitment to improving lives is second to none.
California, Colorado, Connecticut, Nevada, New Jersey, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New Jersey, New York, Rhode Island or Washington residents is $67,800 to $133,100. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment.


Data Scientist Resilience Modeling

One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations, and citizens to embrace a disaster-free future through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world.

One Concern is growing rapidly and we are looking for a passionate and motivated Data Scientist for Resilience Modeling to join our team.

What you will do

Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
Build and improve existing machine learning models
Work with and support domain experts and data scientists in different hazard products
Demonstrate up-to-date machine learning skills and apply this to the development, execution, and improvement of action plans
Assess the potential usefulness and validity of new statistical approaches and data sources.
Identify key problems in prediction models and propose innovative solutions
Formulate your own problems as the problem might not always be defined for you
Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights

Must-haves

Ph.D. (preferred) or Master’s degree in Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Science or related field
Strong background in machine learning, statistics, and quantitative analytics
Experience in developing machine-learning models and/or statistical/probabilistic models
Proficient in Python

Good to have

Domain knowledge of natural disasters or risk modeling.
Strong publication record

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Lead Data Scientist

We are seeking a highly skilled and experienced Lead Data Scientist to join our growing Data Analytics team. This person must have a strong background in data analysis and be able to effectively communicate complex analytical findings to both technical and non-technical audiences, focusing on our highly profitable Search Engine Monetization business. This role requires a strong background in exploratory data analytics, statistics, data modeling as well as excellent communication and leadership skills.

The Role You Will Have

Serve as a subject matter expert to both the Analytics team and business leaders, providing sound & data-driven strategies that help meet or exceed business goals
Develop and create  models in production (classification, clustering, learning models, multivariate  regression, time series, k-means, etc.)  to identify the best business solution
Use Python and packages like Pandas, NumPy, etc., to perform complex statistical analysis on results, and utilize APIs for data ingestion
Use SQL to self-serve data from disparate sources & manipulate multiple large data sets simultaneously for analysis
Perform complex exploratory analysis on historical search engine marketing campaign data  -  including keyword performance, ad spend, and conversions - and identify opportunities for new expansion  & data acquisition
Collaborate with teams in Taxonomy & Performance Marketing to proactively identify keyword trends & develop data-driven optimization strategies
Use tools like Tableau, Looker, or PowerBI to visualize results and present directly to business leaders
Provide mentorship & training to junior analysts and new hires, and evangelize ways to implement better data-driven practices throughout the organization
Stay up-to-date with industry trends and best practices in search engine marketing and data analysis

What You Bring to the Team

Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics,  Data Science)
7+ years of progressive experience in data analysis/data science and handling of large data sets
Strong experience with mathematical optimization methods, exploratory data analysis,  predictive modeling and machine learning techniques
Advanced proficiency in SQL
Strong proficiency in Python & its data science packages (Pandas, NumPy, MatPlotLib, Seaborn, etc.)
Familiarity with digital marketing KPIs including CPA, CPC, CPM and ROAS
Experience with big data technologies (e.g. AWS, Snowflake, Hadoop, Spark, BigQuery)
Experience with data visualization tools (e.g. Tableau, Power BI), as well as surfacing insights with interactive notebooks (e.g Jupyter, Google Colab)
Familiarity with pulling data from third party API’s and basic ETL processing
Excellent communication, and experience in providing leadership within your team (code-review or pair-programming, interviewing & onboarding new hires, etc.)

What We Have to Offer

Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Hybrid
#BI-Remote
#LI-Remote
#LI-Hybrid


Principal Data Scientist Search And Personalization Canada

Principal Data Scientist, Search and Personalization -  Canada (Remote)

Duration: Permanent
Location: Canada (Remote)
Start: ASAP

Who You Are:
We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!

Your Next Challenge:

Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process

What You'll Need:

Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful

Mental and Physical Demands:

A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment

Benefits at Getty Images

Extended Health Insurance

Time off Work/life balance is important to us
We provide flexible time off plus 3 sick days each calendar year. Additionally, we offer 16 weeks paid Maternity Leave for birth mothers, and 4 weeks fully paid leave for other new parents.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

Group RRSP Matching Program

Save for retirement by making contributions consistently and conveniently through payroll deductions. Plus, Getty Images will match 100% of your contributions, up to a maximum of 3% of your base salary! Contributions are taken from your gross pay BEFORE payroll taxes are calculated resulting in an immediate tax reduction. Participation is voluntary so you must enroll in the plan for contributions to begin.

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
__________________________

Who We Are:
Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe.

Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.

Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.

Getty Images works with over 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behavior and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experiences
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is 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, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.


Data Scientist I

Data Scientist I
Engineering
Remote, United States

  Learn More

Join Virgin Pulse Today!
Virgin Pulse is the #1 health and wellbeing navigation platform. Our mission is to change lives for good. We empower 14 million users to get and stay healthy every day by making better choices.
We are looking for a Data Scientist I to join our team who embodies our values: People Matter, We Deliver, One Team One Dream, and Grow Forward. By joining us, you will gain access to health and wellbeing resources, an inclusive global network of nearly 2,000 employees, learning development opportunities, and more.
Position Summary
The Data Scientist supports the organization's efforts to drive personalization and targeted intervention through solid statistical and modeling skill set. A successful candidate will have a desire for continuous learning and strong interpersonal relationship skills.
Gathering, cleaning, transforming, and sampling complex healthcare data.Working with our team of data scientists and engineers to develop and deploy predictive machine learning models.Applying statistical techniques to validate and evaluate model performance, ensuring accuracy and reliability.
Qualifications:
Bachelor's degree in data science, computer science, related field, or equivalent experience Understanding of machine learning algorithms and statistical modeling techniquesProficiency using SQL and relational databases
Preferred Qualifications:
Interest or experience working with healthcare claims or clinical dataExperience with Snowflake, Python, R, and GitFamiliarity with SAS software, Agile development framework
No candidate will meet every desired qualification. If you think you can bring value to the role, please apply! Virgin Pulse is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice.
In compliance with all states requiring pay transparency, the base compensation for this position ranges up to $95,000 annually. Note, salary may vary based on location, skills, and experience. This position is eligible for 10% target bonus, health, dental, vision, mental health, and other benefits.

  Learn More


Data Scientist

The Mission
HubSpot’s mission is to help millions of organizations grow better. We build a CRM platform for scaling businesses that helps them deliver a delightful customer experience that their customers love.
The HubSpot People Analytics team helps HubSpot employees (or HubSpotters, for short) thrive so that they can delight customers. We do that by building analytical products to help HubSpotters grow better.
As a Data Scientist, you will help the People Analytics team advance our predictive analytics, machine learning, and AI capabilities. The role involves working with partners to identify predictive analytics challenges, integrating end-to-end machine learning and AI solutions into our products, and supporting these solutions after they are deployed.
Responsibilities
You will collaborate with teammates to identify challenges facing partners and solve them with predictive analytics. Clear communication is key as you work with both technical and non-technical audiences.
You will develop and maintain scalable machine learning and forecasting products that focus on employee outcomes such as attrition and performance. You will leverage your experience in building end-to-end machine learning solutions, from the prototype phase to production. Your deep understanding of machine learning fundamentals, including model training, selection, validation, and updating, will guide this process.
Together with our team of data engineers, you will identify and ingest new big data sources. Your proficiency in data query/processing languages and tools, such as SQL and Snowflake, will aid in translating these data sources into predictive features.
Your interest in Deep Learning and eagerness to learn how to train Large Language Models (LLMs) will open up new avenues for innovation in this role. If you have prior experience in training LLMs, it’s an added bonus.
Qualifications
Experience building end-to-end machine learning solutions, from the prototype phase to production
Deep understanding of machine learning fundamentals, including model training, selection, validation, and updating.
Proficiency in a programming language (Python, R, etc.)
Proficiency in or willingness to learn SQL
Bonus points for prior experience training Large Language Models
Cash compensation range: 118500-189600 USD AnnuallyThis resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer. The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@hubspot.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
About HubSpot
HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.
You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.
Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.


Senior Full Stack Data Scientist

In Brief
We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
We’re looking for an experienced full-stack Data Scientist with expertise in state-of-the-art ML methods who wants to own the end-to-end effectiveness of their models in a live, clinical AI product.
Who We AreBayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.What makes us different? We’re results oriented and outcomes obsessed. We also understand that to address our users’ needs, we must go beyond building great technology. After spending a decade working side by side with top clinicians from three of the world’s leading health systems, we know what it takes to develop usable, high-value, clinically-relevant solutions. We are experts at rummaging through messy, incomplete, biased datasets. We are able to make sense of, and continuously learn from data, to help our physicians practice more precise medicine.Read more about our recent publication in Nature Medicine that associates our products with lives saved.
What You’ll DoAs a full-stack Data Scientist, you will own the effectiveness of models that you develop and maintain, throughout the life cycle of production ML systems.
You will:
Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods.
Define and implement model/algorithm improvements to refine the behavior of existing ML-based systems.
Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies.
Produce high-quality, one-off, aggregate analyses of model behavior, including producing high-quality studies for publication.
Design and create proofs of concept of innovative and original ML solutions to clinical challenges.
Investigate to understand and communicate model behavior in specific cases.
Write scripts to perform calculations for internal/external reporting and dashboards, to enable investigation of model performance (individual cases as well as statistics).
Investigate data coming from EHRs and build high-quality data mapping code.
Be an integral part of our diverse, inclusive, collaborative, fully-remote technology team.

Who You AreAs a full-stack Data Scientist, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren’t afraid to get your hands dirty by writing data mapping code, debugging a specific patient case by following patient data as it moves through our AWS services, or improving the timeliness of your model’s predictions by reading and writing production-grade Python and SQL code.
You either have a Ph.D. in a relevant field plus 3+ years relevant experience, or a relevant Master’s degree and 5+ years experience as a full-stack data scientist. Relevant degrees include Machine Learning, Computer Science, Statistics, and Biostatistics.
You are an expert in state-of-the-art machine learning approaches, and more importantly, you stay up to date on relevant works in the literature to guide your design and development strategy.
You have experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems.
You have experience in the design and execution of health outcomes/effectiveness studies and in relevant statistical methods.
You have experience using messy clinical data to solve health care challenges. In this experience you have built a solid understanding of health care, clinical data, and clinical coding standards such as SNOMED and ICD.
You have experience using MLOps tools such as SageMaker and MLFlow.
You are passionate about making clinical care more effective and efficient.
You believe data has a larger role to play at the point-of-care, and want to make that a reality.
You have a track record as a good communicator and a collaborative, driven team player.


Lead Advanced Analytics Trust Safety

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our Trust organization. The Trust organization protects, guides, and mobilizes the creation and defense of trust in our community and on our platform. The Trust Experience Analytics team within Global Operations enables, facilitates, and streamlines integrated data-driven decision making across the Trust Product, Operations & Policy organizations. The team is committed to operational excellence and community experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product defense and frictions, processes and implement objective indicators of success.
The Difference You Will Make:
You will be a part of a Trust product & operations data squad composed of product managers, engineers, ops analysts, data analysts and data scientists designing and building scalable and robust products and systems to detect and support the mitigation of fraud activities across the entire platform (Account Integrity, Content Integrity, Financial Fraud, Safety, Identity etc.). You will both develop and support the creation of robust data insights through cross-functional partnerships, and will utilize and help to strengthen and improve the end-to-end trusted user journey (pre-trip, on-trip and post-trip). You will create data narratives and influence experimentation platforms to guide the seamless execution of new products, processes and systems, balancing the safety and expression needs of our community and business and operational challenges.
In addition, you will leverage Airbnb’s rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb’s community safe and trusted.
You are passionate about solving complex problems within the Trust & Safety domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships
You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey
A Typical Day:
Lead and drive data-driven product roadmap for the Trust - Safety & Identity working groups. Recommend actionable solutions backed by data and metrics to product problems, with the ability to effectively communicate with Product & Engineering managers of varying technical levels
Build the business insights & reporting platform to detect and support the mitigation of potential fraud behavior and actors across the Airbnb platform
Perform data modeling of the various entities involved in the Trust creation and defense including hosts, guests, agents, and others using tools & frameworks for optimizing community end-to-end journey by minimizing undesired frictions while introducing proactive product defenses on our platform
Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development. Communicating a robust understanding of what moves these metrics and why
Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space
Your Expertise:
A minimum of 5+ years of industry experience in business analytics and a degree (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Have experience supporting trust and safety team and/or have worked closely with policy, content moderation, or security teams
Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). Experience with  non-experimental causal inference methods, experimentation and machine learning techniques,  ideally in a multi-sided platform setting
Working knowledge of  schema design and high-dimensional data modeling (ETL framework like Airflow)
Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$155,000—$180,000 USD
Apply now


Senior Data Scientist

About Us
At Virtuous, our mission is to build better solutions and create a culture of collaboration and growth. We aim to move the needle on global generosity by making a positive impact on the nonprofits we serve and intrinsically, the world. At our core, we aim to blend philanthropy and technology into one cohesive force.
Our team is made up of humble individuals who are driven by using their skills and expertise to push the boundaries of what is possible. We strive to break the status quo and offer the best products and services for the needs of our nonprofits, exceeding their expectations.
We also recognize the importance of giving back and making a difference in the communities where we live and work. That's why we practice radical generosity, whether it's through charitable donations, volunteering our time and resources, or simply being kind and compassionate to those around us. We enjoy the journey in all of our pursuits, recognizing that the destination is only a small part of the overall experience.
Our Philosophy
At Virtuous we hire the best talent which is not solely defined by skillset but rather the heart and passion for growing generosity in the world. We are not partners but rather champions for the success of the nonprofits we serve. We believe that it's not just about achieving our goals but having fun along the way. We try not to take ourselves too seriously and no one around here is a “big deal”.
The ideal candidate for Virtuous embodies the following beliefs and behaviors that our team shares. We believe the following attributes are how we bring our values to life.
Attributes of a great team member:
Asks questions with a spirit of curiosityGives feedback freely with candor & grace, welcomes it in returnDisplays a passion for philanthropy and technology Actively listens to & empathizes with customers, partners, & teamLeads by serving. Everyone is willing to make the coffee!Celebrates wins & milestones of others Assumes good intent & demonstrates trust in others Pursues relationships with people different from themselves & creates space to be human
Find our core values & more here.
Position Summary
As a Data Scientist, you will be at the forefront of building out the data analytics and ML/AI function on our Engineering Team. You’ll be responsible for architecting and building the data and machine learning capabilities for new Virtuous products. Responsibilities will include identifying the datasets that help drive business value, choosing the tool/technology needed to hit our goals, and building scalable predictive models to accelerate the growth of our nonprofit customers.
In this role, you should be highly analytical with a background in analysis, ML/AI, math and statistics. You should also have a customer-facing product mindset focused on delivering measurable wins for both Virtuous and our customers.
Responsibilities
Identify valuable data sources and work with data engineer to automate collection and ingestion processesAnalyze complex data sets using statistical analysis and machine learning techniques to identify business opportunities and provide actionable insights.Design and implement machine learning models to automate business processes and improve decision-making.Build predictive models to forecast behavior and improve personalized targeting and engagement.Collaborate with cross-functional teams and customers to identify business needs, define requirements, and develop solutions that meet the business needs.Develop and implement data-driven solutions to drive value to Virtuous customers.Implement models in production by collaborating with software developers on API and performance requirementsCommunicate findings and recommendations to non-technical stakeholders in a clear and concise manner.Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence.
Requirements
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.3+ years of experience in data analysis, statistical modeling, and machine learning.Strong programming skills in SQL, Python, R, and similar languages.Experience with SQL, BI, data visualization tools, and big data platforms such as Hadoop, Spark, ClickHouse, Snowflake or AWS.Strong problem-solving skills and ability to work independently and in a team environment.Excellent communication skills, including the ability to communicate complex technical concepts to non-technical stakeholders.Experience working with large and complex data sets.Strong analytical and critical thinking skills.Knowledge of statistical analysis and machine learning techniques. Ability to adapt to new technologies and tools quickly.
What We Offer
Market competitive pay leveraging Carta dataEmployee recognition through Bonusly (birthdays, anniversaries, achievements, etc.) 401(k) retirement plan with company matching- 6% match up to 50% after 90 days We value our employee’s work-life balance and encourage taking advantage of Unlimited PTO Supportive time off including paid volunteer days and company holidays Ample Medical/Dental/Vision healthcare benefits including dependent plans & HSA/FSA offerings Fully funded mental and Wellness memberships to nurture employees- Kindbody, OneMedical, Talkspace & Teladoc 12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well) We pride ourselves on Community and host exciting company outings and events.


Lead Data Scientist Simulation

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees 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.   We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of simulation and experiment design, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities 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 solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science      experience with simulation and experiment design, modeling coding capability as this person needs to make designs      happen.   Strong statistics foundation and knowledge of      statistical packages. Proficiency with Python and SQL and ability to write      complex Python codes and SQL queries.   A solid knowledge of deep learning, quick      learner, and a strong coding capability. This person will be responsible      for writing complex production-level codes.   Hands-on experience building models is a must. Experience with supply chain/retail is good to have.   Exceptional communication and collaboration skills to understand      business partner needs and deliver solutions. 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.


Senior Data Scientist

Position Summary
As a Sr. Data Scientist at Looma, you will play a vital role in shaping our understanding of shopper behavior in support of our mission to connect grocery shoppers with makers. You will join a highly skilled product team that values joy in work, organizational excellence, and empathy towards teammates and partners. As an early member of this team, you will be trusted with a high degree of ownership and have influence over key strategic decisions once you have your feet underneath you. We are seeking candidates with demonstrated experience in full stack data science looking to advance their careers by taking on a challenging role with near term opportunity for growth. This role reports directly to our VP of Product.
The responsibilities for this role can be split into three primary categories:

Full Funnel Performance Modeling (40%)
Pilot & Product A/B Test Analysis (40%)
Data Ecosystem Development (20%)

Full Funnel Performance Modeling (40%)

Leverage sales data and machine learning models to drive our understanding of how we impact shopper behavior.
Advance and automate existing ML models to improve scalability, reliability, and generalization into new product categories and retail environments.
Develop new machine learning models to deepen understanding of various aspects of shopper behavior.

Pilot, Product, & Content A/B Testing (40%)

Design experiments which deliver high powered results efficiently, minimizing resource requirements and disruption to business operations.
Analyze test results by developing creative ways to derive insights from imperfect data that comes from external sources and real world environments.
Communicate findings to non-technical stakeholders, first working to ensure findings are highly polished and accurate, and then determining the right set of narratives and visualizations to use to communicate effectively.

Data Ecosystem Development (20%)

Support the development of Looma’s data science operations through automation, pipeline optimization, code documentation, data governance, and promotion of a data driven culture.
Design and implement APIs to make data insights available for customer-facing dashboards and tools managed by Looma’s engineering team.
Promote internal data accessibility by developing BI tools and encouraging their use.

Attributes & Experience
Key Attributes:

Polish: You deliver reliable results and are diligent in validation and verification.
Enthusiasm: You approach your work with energy and passion, and inspire creativity and innovation within the team.
Curiosity: You are constantly seeking to learn and grow, and have a strong desire to understand how things work and how to improve them.
Empathy: You relate to the needs and experiences of customers, teammates, and partners, and approach problem-solving with a user-centric perspective.
Organization: You maintain excellent organization in complex environments, taking initiative to automate, scale, and streamline systems.

Preferred Background:

A degree in a relevant field such as information science, mathematics, statistics, computer science.
5+ years of data science experience, including recent roles in a startup or early-stage company.

Preferred Technical Experience:

Proficiency with cloud-based data platforms (GCP preferred) and data extraction from SFTP servers, APIs.
Experience in building models with libraries such as scikit-learn, caret, TensorFlow, Keras in R (preferred) or Python, with bonus points for gradient boosting frameworks like LightGBM.
Familiarity with deploying interactive visualizations (R Shiny, Streamlit) and building BI dashboards (Tableau, PowerBI, Looker).
Proficient in data transformation using tools like dbt or similar data processing frameworks.

Preferred Strategic Experience:

Familiarity with modeling advertising performance and shopper behavior analysis within the CPG industry.
Experience in data security initiatives and regulatory compliance.
Involvement in strategic discussions with sales, product, and executive stakeholders.

Structure & Compensation
Looma will provide a competitive compensation package consisting of base salary and stock options. All Looma compensation packages include some cash / equity flexibility (i.e. you can opt for more equity and less cash or vice-versa).
Benefits

Employee coverage for health, dental, and vision (gold plan)
Unlimited PTO (3-week minimum)
Flexible office setting (office, flex, or WFH, with associated stipends)
$100/month craftsmanship stipend
6 weeks birthing leave, 6 weeks bonding leave
401(k) plan


Senior Data Scientist Go To Market Automation

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
Our Go-to-Market Automation team builds automation and machine learning solutions to optimize the efficiency and impact of the Sales and Account Management teams. The Data Science and Analytics team leverages business intelligence, engineering, analytics, and data science to maintain and develop a world class suite of data driven solutions that increase the efficiency and intelligence of our Account Managers and Sales Representatives.
As a Lead Data Scientist you will partner closely with Machine Learning, Data Engineering, Business Intelligence, Business Strategy, and Leadership to design and analyze experiments, develop statistical frameworks, and embed data-driven operations across the organization. You will own our experimentation program, testing the impact of third-party data sources, Machine Learning models, updates to internal products, and more to drive business growth. You will apply advanced statistical methods to answer complex business problems and guide decision making across Square’s go-to-market business units.

You will:
Be the subject matter expert in experimentation for Sales and Account ManagementDeeply understand the Sales and Account Management data ecosystem, and apply data science techniques to support the growth of the organizationPartner with Machine Learning engineers to support measurement and evaluation of ML modelsMentor and coach other data scientists and analysts on the team by providing technical guidance on experiments and other analysesAct as a trusted advisor to senior leadership on targeting strategy and help define a roadmap that aligns with key business prioritiesApply descriptive and predictive analytics to help drive insights and business decisionsCommunicate analyses and decisions to high-level stakeholders and executives in verbal, visual, and written formatsApply a diverse set of tactics such as causal inference, quantitative reasoning, and machine learning to research and produce insights
Qualifications
You have:
8+ years of analytics and data science experience, or 6+ years of experience with an M.S in a quantitative field (computer science, statistics, economics, or similar STEM field)Expertise in statistical analysis, hypothesis testing, and experimental design Familiarity with a range of lift and impact methodologiesStrong project management skills, with the ability to manage multiple projects and priorities in a fast-paced environment.Experience using quasi-experimental methods (IV, RDD, DiD, etc…) to estimate causal effects using observational dataStrong written and verbal communication skills and ability to build relationships and influence across the organizationProven ability to facilitate cross-functional projects that depend on the contributions of others in a variety of disciplinesFluency with data warehouse design practices, analytics, and visualization technologies (we use SQL, Looker, and Python)Familiarity with concepts beyond querying (schema and ETL design, and query optimization)
Nice to have:
Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, connect rateExperience working with revenue-generating teams such as Sales, Account Management, or Marketing
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.