Senior Data Scientist, Analytics & Product Strategy

Meta; Oklahoma City (OK); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta seeks an experienced Data Scientist (Analytics Leadership) to drive impact across product areas by turning data into actionable insights. You will partner with cross‑functional teams to shape product strategy, quantify opportunities, and guide investments using rigorous analysis.

You will tell data stories and build credibility with stakeholders across the company. You will lead analytics initiatives, develop hypotheses, test them with experiments, and help scale data platforms for product

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 5+ years of experience with data querying languages and scripting/statistical tools.
• 8+ years leading analytics work in IC capacity with cross‑functional partners.
• Experience with predictive modeling, ML, and experimentation/causal inference methods.
• Excellent communication of complex topics to stakeholders.

Responsibilities

• Work with complex data sets to solve problems using analytical techniques.
• Apply quantitative analysis and experimentation to shape product strategies.
• Identify and measure success through forecasting and metrics.
• Partner with cross‑functional teams to inform product strategy and decisions.
• Build long‑term vision for programs and products.
• Collaborate with executives to define data platforms and instrumentation.
• Communicate insights and recommendations to stakeholders.
• Define success metrics and forecast changes.
• Support developing roadmaps and analytics coordination across teams.

Skills

Data analytics leadership

Cross-functional collaboration

Communication of insights

Experimentation

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Masters or PhD in quantitative field (preferred)

Tools

SQL

Python

R/SAS/Matlab

Job description

Meta seeks an experienced Data Scientist (Analytics Leadership) to drive impact across product areas by turning data into actionable insights. You will partner with cross‑functional teams to shape product strategy, quantify opportunities, and guide investments using rigorous analysis.

You will tell data stories and build credibility with stakeholders across the company. You will lead analytics initiatives, develop hypotheses, test them with experiments, and help scale data platforms for product