529 Data Science jobs in Washington

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

**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're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/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