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Data Scientist, Analytics (Technical Leadership)

Meta
2 days ago
Full-time
On-site
London, United Kingdom
Data Scientist
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.

Work with complex data sets to solve 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 coordinating analytics efforts across teams

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 experience leading analytics work in an 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

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

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)