9,828 Data Science Manager jobs in the United States

**Summary:**
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Science Manager Responsibilities:
1. Help build and lead data science teams on projects to deliver world-class products.
2. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
3. Manage development of data resources, gather requirements, organize sources, and support product launches and data science projects.
4. Analyze data, business intelligence, and statistical results to identify actionable insights, suggest recommendations and influence the direction of Meta's product decisions and product launches by effectively communicating results to cross functional groups, including Online Ops, Product, and Engineering teams.
5. Leverage data to provide insights about user behavior and to inform business decisions based on data mining on large, complex data sets and applying concepts in number theory, computational theory, data structures and algorithms.
6. Predict and understand user patterns through analytical and statistical metric analysis.
7. Apply quantitative skills in predictive modeling, business intelligence analysis, A/B tests, regression models, and machine learning to gather data insights.
8. Partner with Product and Engineering teams to solve data problems and identify trends and opportunities.
9. Build and analyze dashboards, reports and key data sets to empower operations and exploratory analysis.
10. Automate analyses and author data pipelines via ETL framework.
11. Develop strong business partnerships with the Online Ops, Product, and Engineering teams by translating strategic questions into structured analyses, defining success metrics, and developing reporting channels.
12. Build key statistical data sets to empower operational and exploratory analysis, and automate analyses.
13. Track current incoming volumes and trends in order to create forecasting models for operational insights.
14. Assist in designing hypothesis testing experiments, analyze data collected and present results.
15. Conduct ad hoc data analysis based on current team needs.
16. Complete root cause analysis of different workflows in order to quantify problems, operationalize goals and identify priorities.
17. Train team members on the use of reporting tools and lead data-driven business case solving courses.
**Minimum Qualifications:**
Minimum Qualifications:
18. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Mechatronic Engineering, Applied Sciences, Mathematics, Physics or related field and 3 years of work experience in job offered or in a computer-related occupation
19. Requires 3 years of experience in the following:
20. 1. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
21. 2. Working with SQL or other programming languages
22. 3. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
23. 4. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
24. 5. Developing in scripting language: PHP, Python, or Perl
25. 6. ETL (Extract, Transform, Load) processes
26. 7. Communicating and presenting results of data analyses with product and leadership teams
27. 8. Working with cross-functional teams to choose/create metrics and set metric goals
28. and 9. Mentoring junior team members and contributing to organizational development
**Public Compensation:**
$289,786/year to $325,270/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Ready to be pushed beyond what you think you're capable of?
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights and drive decisions which directly move the company's bottom line.
We're looking for an experienced manager to lead the Developer data science team, a fast growing area of the business that's not only working on some of the most cutting edge web3 applications, but which is also critical to Coinbase's mission of bringing one billion people onchain. They'll work with their team to devise strategies to help grow the product, support a culture of experimentation, and hold a high bar for rigorous and analytical decision making.
*What you'll be doing (ie. job duties):***
* Manage, mentor and grow a team of data scientists and build solid working partnerships with product teams
* Act as a strategic thought partner to product teams and Coinbase executives; lead the team to execute on data-based analyses to help prioritize product opportunities and provide actionable recommendations
* Standardize best practices for analysis, modeling and experimentation; develop scalable processes to help the team solve pain points and meet goals
* Design communication structure and cadence with team members; synthesize data learnings into compelling stories and communicate them throughout Coinbase
* Act as the business metrics owner for performance management
* Drive data team and organizational level initiatives to scale our insights through better systems and automation
*What we look for in you (ie. job requirements):*
* BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree
* 5+ years of experience as a hands-on leader of a high-performing data science/analytics team
* 10+ years of experience providing business insights and driving data science initiatives
* Experience in both internal and external storytelling and executive presentations
* Experience overseeing large, complex and cross-functional initiatives
* Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics
* Deep knowledge of data models and experimental design and execution
* Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders
* Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
* Self-driven and able to create plans for analytics projects and build collaboration within the team
*Nice to haves:*
* Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree
* Experience building causal inference models and overseeing synthetic experimentation
* Domain experience in Fintech product and growth areas
* Experience manipulating large amounts of structured and unstructured data
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$243,865-$286,900 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com

**Summary:**
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at