Data Scientist III

Job Title: Data Scientist III

Location: Meta's Menlo Park (MPK) campus

Summary

We are seeking a highly experienced Data Science Contractor to join our team and provide essential support for strategic initiatives across the FB Social ecosystem. This position is ideally suited for a data scientist possessing robust analytical capabilities, substantial experience within large-scale data environments, and a commitment to generating significant impact through data-driven insights.

Job Description / Responsibilities

1. Data Analysis & Modeling:
   ● Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to Meta's ecosystem (products, partners, platforms, and user interactions).
2. Metric Development:
   ● Design, implement, and meticulously maintain critical metrics to accurately measure ecosystem health, growth, and engagement.
3. Experimentation:
   ● Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies.
4. Stakeholder Collaboration:
   ● Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making.
5. Reporting & Visualization:
   ● Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders.
6. Ad Hoc Analysis:
   ● Provide timely, high-quality analytical responses to urgent business inquiries.

Minimum Qualifications

• ● A Bachelor's or Master's degree is required in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field.
• ● A minimum of five (5) years of professional experience in data science, analytics, or a functionally equivalent role (either contract or full-time employment).
• ● Demonstrated proficiency in SQL and at least one high-level programming language (e.g., Python, R).
• ● Practical experience utilizing data visualization platforms (e.g., Tableau, Unidash, Metrics360).
• ● Exceptional communication skills, with the proven ability to articulate and present complex findings with clarity and precision.
• ● The capacity to operate autonomously and effectively manage competing priorities within a dynamic, high velocity operational environment.

Preferred Qualifications

• ● Significant experience working with large-scale data infrastructure within technology or platform ecosystems.
• ● Familiarity with Meta's proprietary internal data tools (e.g., Presto, Scuba, Hive).
• ● Previous professional engagement in a contractor or consulting capacity.
• ● Substantive knowledge of formal experimentation design principles and causal inference methodologies.

Must have skills

1. Advanced Data Analysis & Modeling: Strong proficiency in SQL and at least one programming language (Python, R, etc.).
2. Data Visualization: Experience with tools like Tableau, Unidash, or Metrics360.
3. Communication & Collaboration: Ability to present complex findings clearly and work cross-functionally.

Nice to have skills

1. Large-Scale Data Experience: Prior work with big data in tech/platform ecosystems.
2. Meta Internal Tools: Familiarity with Presto, Scuba, Hive, etc.
3. Experimentation & Causal Inference: Knowledge of experiment design and causal analysis.

Day-to-Day Responsibilities

• ● Analyze complex datasets to uncover actionable insights.
• ● Design and maintain key metrics for ecosystem health and growth.
• ● Develop and execute experiments for new features and strategies.
• ● Collaborate with Product and Engineering teams to deliver insights.
• ● Build dashboards/reports for technical and non-technical audiences.
• ● Respond quickly to urgent business questions with high-quality analysis.