Summary

Join our innovative team as a Senior Data Scientist and take the lead in making impactful contributions across diverse product areas. In this role, you will work closely with cross-functional partners to tackle intricate challenges using data analysis. Your expertise will be pivotal in shaping product development, uncovering new opportunities, and ensuring our products deliver maximum value to users and the company. You'll leverage data-driven insights to guide teams, propose hypotheses, and apply robust analytical methods to validate them. Expect to present clear insights, tell compelling data stories, and build strong credibility with stakeholders. As part of our world-class analytics community, you'll benefit from ongoing skill development and career advancement.

Responsibilities

• Analyze complex data sets to resolve challenging problems through analytical and statistical techniques.
• Utilize your technical skills in quantitative analysis, experimentation, and data mining to drive product strategies.
• Establish and assess success through goal setting, forecasting, and monitoring key performance metrics.
• Collaborate effectively with cross-functional teams to inform and implement product strategy and investment decisions.
• Develop a long-term vision and roadmap for programs and products.
• Work alongside executives to define and enhance data platforms and instrumentation.
• Communicate insights and recommendations effectively to stakeholders.
• Define success metrics, anticipate changes, and set team objectives.
• Support the development of roadmaps and coordinate analytics efforts across various teams.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 8+ years of experience leading analytics work in an individual contributor role, collaborating closely with Engineering and cross-functional partners, and guiding data-informed product planning and strategy development.
• Proven track record managing complex analytics projects across multiple stakeholders and disciplines, including Engineering, PM/TPM, Analytics, and Finance.
• Experience with predictive modeling, machine learning, and causal inference methods.
• Ability to convey complex technical topics clearly, succinctly, and actionably.

Preferred Qualifications

• 10+ years of experience presenting analytical results to leadership teams to influence strategic decisions.
• Master's or Ph.D. degree in a quantitative field.
• Bachelor's degree in an analytical or scientific field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research).
• 10+ years of experience conducting complex quantitative analyses in product analytics.
• Demonstrated success in integrating AI tools to refine workflows and achieve measurable outcomes (e.g., efficiency improvements, quality enhancements).
• Experience in adhering to and implementing responsible and ethical AI practices (e.g., risk assessments, bias mitigation, quality and accuracy evaluations).
• Evidence of continuous AI skill development (e.g., prompt/context engineering, agent orchestration) and staying updated on emerging AI technologies.

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 on 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 accommodations-ext@meta.com.