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Meta

Data Scientist, Analytics (Technical Leadership)

Meta

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USA Full-time 16h ago
Data AnalysisSQLPythonMachine LearningStatistical Analysis

Job Description

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. ### 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. ### 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 work experience leading analytics work in an individual contributor capacity, working collaboratively with Engineering and cross-functional partners. - Experience with predictive modeling, machine learning, and experimentation/causal inference methods. - 10+ years of experience communicating the results of analyses to leadership teams to influence strategy.

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