Senior Data Scientist, Analytics Leadership

Summary: Join our dynamic team of experienced Data Scientists and make a significant impact across diverse product areas. As a Senior Data Scientist, you will collaborate with cross-functional teams to tackle complex problems through data analysis and insights. Your contributions will shape product development, uncover new opportunities, and ensure our offerings deliver exceptional value to users and the organization. You will leverage data-driven insights to guide teams, formulate hypotheses, and employ robust analytical methods to test them. Your ability to articulate compelling data narratives and present clear insights will foster credibility with stakeholders. By becoming part of our team, you will be immersed in a world-class analytics community focused on professional development and growth in analytics and beyond. Key Responsibilities: Utilize complex data sets to address challenging problems through analytical and statistical methods. Bring technical expertise in quantitative analysis, experimentation, and data mining to craft effective product strategies. Establish success metrics and monitor key indicators to assess performance and progress. Work closely with cross-functional teams to shape and execute strategic product initiatives and investments. Develop and communicate a long-term vision and strategy for various programs and products. Collaborate with executives to design and implement data platforms and analytical instrumentation. Present insights and recommendations effectively to various stakeholders. Define success metrics, anticipate changes, and establish team objectives. Contribute to the development of analytics roadmaps and coordinate efforts across 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 initiatives in individual contributor roles, working collaboratively with Engineering and cross-functional partners to drive data-informed product planning and strategy. A proven track record of leading complex analytics projects across various stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics, and Finance. Experience in predictive modeling, machine learning, and experimentation/causal inference techniques. Strong communication skills, with the ability to convey complex technical topics clearly and concisely. Preferred Qualifications: 10+ years of experience engaging with leadership teams to communicate analytical results and influence strategic decision-making. Master's 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 performing intricate quantitative analysis in product analytics. Compensation: $210,000/year to $281,000/year + bonus + equity + benefits. Industry: Internet Equal Opportunity Employer: Meta is committed to diversity and inclusion in our workplace. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender, age, disability, or any legally protected characteristics. We welcome applications from qualified individuals with diverse backgrounds. Note that we may utilize artificial intelligence and machine learning technologies in our hiring processes. Accommodations: If you need assistance or accommodations during the recruitment process due to a disability, please reach out to us.

Created: 2026-03-04