Data Scientist (Technical Leadership)

Meta•Washington, DC

About The Position

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.

Requirements

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

Nice To Haves

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

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