Data Scientist III

Role: Data Scientist III

Location: Menlo Park, CA (Onsite)

We are seeking a highly experienced Data Science Contractor to join our team and provide essential support for strategic initiatives across the Client’s 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.

Responsibilities:

1. Data Analysis & Modeling: Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to Client’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 Client’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:

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

Nice-to-Have Skills:

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