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Meta · 1 day ago

Data Scientist (Technical Leadership)

Washington, DC

Full-time

Onsite

Senior Level, Lead/Staff

$210K/yr - $281K/yr

8+ years exp

Meta builds technologies that help people connect and grow businesses. They are seeking experienced Data Scientists to collaborate with cross-functional partners to identify and solve complex problems using data and analysis, shaping product development and ensuring value for users and the company.

Computer Software

Comp. & Benefits

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

Qualification

SQLPythonPredictive modelingMachine learningStatistical analysisData storytellingComplex problem solvingCross-functional collaboration

Required

Bachelor's degree in Computer Science, Computer Engineering, 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 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