Senior Data Scientist, Analytics Leadership

Summary:

Join our dynamic team as a Senior Data Scientist and make a significant impact across multiple product areas. In this pivotal role, you will collaborate with diverse teams to tackle complex challenges using advanced data analysis. You'll shape product development, identify new opportunities, and ensure our products deliver exceptional value to users and the company. Leverage data-driven insights to guide and influence teams, develop hypotheses, and rigorously test them. Your ability to craft compelling data narratives and present clear insights will build credibility and foster strong partnerships. Become part of a world-class analytics community that is committed to your skill development and career progression in analytics and beyond.

Required Skills:

Responsibilities:

1. Analyze complex data sets to solve challenging problems through statistical and analytical methods.
2. Utilize your technical expertise in quantitative analysis, experimentation, and data mining to formulate effective product strategies.
3. Establish and measure success through goal-setting, forecasting, and monitoring key performance metrics.
4. Collaborate with cross-functional partners to shape and execute product strategy and investment decisions.
5. Develop a long-term vision and strategic roadmap for programs and products.
6. Work with executive teams to design and refine data platforms and instrumentation.
7. Communicate insights and actionable recommendations effectively to stakeholders.
8. Define success metrics, anticipate changes, and set team goals.
9. Support the creation of roadmaps and coordinate analytics efforts across teams.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or another relevant technical field, or equivalent practical experience.
• 5+ years of experience with data querying languages (such as SQL), scripting languages (like Python), or statistical/mathematical software (including R, SAS, Matlab).
• 8+ years of experience leading analytics initiatives in an individual contributor capacity, working closely with Engineering and cross-functional partners to guide data-informed product planning and strategy development.
• Proven track record of successfully managing complex analytics projects involving multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics, and Finance.
• Experience with predictive modeling, machine learning techniques, and experimentation/causal inference methodologies.
• Strong communication skills with the ability to convey complex technical topics clearly and actionably.

Preferred Qualifications:

• 10+ years of experience presenting analytic results to leadership teams to influence strategic direction.
• Advanced degree (Masters or Ph.D.) in a quantitative field.
• Bachelor's Degree in an analytical or scientific discipline (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research).
• 10+ years of experience conducting advanced quantitative analysis in product analytics.

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 legally protected characteristics. Meta also considers qualified applicants with criminal histories, in accordance with applicable laws. Note that Meta may utilize artificial intelligence and machine learning technologies during the hiring process.

Meta is dedicated to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you require assistance or accommodations due to a disability, please inform us at accommodations-ext@fb.com.