Lead Data Scientist, Analytics StrategyMETA • United States

Lead Data Scientist, Analytics Strategy

Über

Summary: Join our innovative team as a Lead Data Scientist and have a meaningful impact across various product areas. In this essential role, you'll work closely with diverse teams to address intricate challenges through advanced data analysis. You will drive product development, uncover new opportunities, and ensure our offerings provide outstanding value to users and the company. Utilize data-driven insights to influence teams, formulate hypotheses, and rigorously test them. Your skill in crafting compelling data narratives and presenting clear insights will help build credibility and strengthen partnerships. Become a vital part of a world-class analytics community committed to your professional growth and development in analytics and beyond. Required Skills: Responsibilities: Analyze complex data sets to solve challenging problems using statistical and analytical methods. Apply your technical expertise in quantitative analysis, experimentation, and data mining to formulate effective product strategies. Establish and monitor success through goal-setting, forecasting, and evaluation of key performance metrics. Collaborate with cross-functional partners to shape and execute product strategy and investment decisions. Develop a long-term vision and strategic roadmap for programs and products. Engage with executive teams to design and refine data platforms and instrumentation. Effectively communicate insights and actionable recommendations to stakeholders. Define success metrics, anticipate changes, and set team objectives. 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 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, closely collaborating with Engineering and cross-functional partners to guide data-informed product planning and strategy. A 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 to convey complex technical topics clearly and actionably. Preferred Qualifications: 10+ years 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.

United States

Sprachkenntnisse

English

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