Data Scientist, Analytics (Technical Leadership)

Über

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Responsibilities
Work with complex data sets to solve challenging problems using analytical and statistical approaches
• Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
• Identify and measure success through goal setting, forecasting, and monitoring key metrics
• Partner with cross-functional teams to inform and execute product strategy and investment decisions
• Build long-term vision and strategy for programs and products
• Collaborate with executives to define and develop data platforms and instrumentation
• Effectively communicate insights and recommendations to stakeholders
• Define success metrics, forecast changes, and set team goals
• Support developing roadmaps and coordinate analytics efforts across teams
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Mathematics, Statistics, Operations Research) 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 work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
• Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
• Experience with predictive modeling, machine learning, and experimentation/causal inference methods
• Experience communicating complex technical topics in a clear, precise, and actionable manner
Preferred Qualifications
• 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
• Masters 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 doing complex quantitative analysis in product analytics
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

United States

Sprachkenntnisse

English

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