Data Scientist (Technical Leadership)

Meta; Bellevue (WA); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking an experienced Data Scientist (Technical Leadership) in Bellevue, WA to lead advanced analytics across multiple product areas. You will work with large data sets, apply rigorous quantitative methods, and influence product strategy with data-driven insights.

Collaboration with Product, Engineering, Research, and Finance teams is essential to drive impact and responsible AI adoption. You will shape measurement frameworks, forecast key metrics, and test opportunities to improve

Qualifications

• Bachelor's degree in a technical field required.
• 8+ years of experience leading analytics work and partnering with cross-functional teams.
• Experience communicating findings to stakeholders and guiding data-informed product decisions.
• Strong framing and communication skills.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems.
• Apply quantitative analysis, experimentation, data mining, and data presentation to develop product strategies.
• Identify and measure success of product efforts through metrics and forecasting.
• Test opportunities and levers to improve the product and drive roadmaps with insights.
• Partner with Product, Engineering, and cross-functional teams to inform and execute product strategy.
• Navigate ambiguity and form clear hypotheses to drive data-driven decisions.
• Collaborate with cross-functional teams to support product investment decisions.

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Job description

Summary

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others! As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross‑functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond.

Required Skills

Data Scientist (Technical Leadership) Responsibilities

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches

2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses

3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends

4. Understand and identify opportunities to more responsibly leverage cutting edge technology

5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

6. Partner with Product, Engineering, and cross‑functional teams to inform, influence, support, and execute product strategy and investment decisions

7. Navigate ambiguity and complexity by forming clear hypotheses, making data‑driven decisions, and proactively identifying areas for deeper investigation

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. 8+ years of experience in data science or analytics, leading analytics work in an IC capacity, working collaboratively with Engineering and cross‑functional partners, and guiding data‑influenced product planning, prioritization, and strategy development

3. Experience working effectively with multiple stakeholders and cross‑functional teams, including Engineering, PM/TPM, Analytics and Finance

4. Experience framing and communication skills

Preferred Qualifications

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

2. Masters or Ph.D. Degree in a quantitative field

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

4. Experience with predictive modeling, machine learning, and experimentation/causal inference methods

5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Public Compensation

$210,000/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 [e-mail].