Data Scientist III

SGS Consulting; Sacramento (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

SGS Consulting seeks a data analytics professional to analyze complex datasets, identify trends, and deliver actionable insights for the ecosystem of products, partners, and users.

You will design metrics, build dashboards, and run structured experiments to evaluate new features and partnerships, collaborating with Product and Engineering to inform strategic decisions and communicate findings to stakeholders.

Qualifications

• Strong SQL and at least one programming language (Python or R) required.
• Experience with data visualization tools and dashboards.
• Ability to present complex findings clearly to cross-functional teams.

Responsibilities

• Analyze datasets to identify trends and actionable insights for the product ecosystem.
• Develop metrics to measure ecosystem health, growth, and engagement.
• Design and run experiments to evaluate features, partnerships, and strategies.
• Collaborate with Product and Engineering to define requirements and deliver insights.
• Create dashboards and detailed reports for technical and non-technical stakeholders.
• Provide timely, high-quality analytical responses to urgent inquiries.

Skills

Advanced Data Analysis & Modeling

Data Visualization

Communication & Collaboration

Large-Scale Data Experience

Client Internal Tools

Experimentation & Causal Inference

Education

Bachelor's degree

Tools

Presto

Scuba

Hive

Job description

Job Responsibilities

Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to Client's ecosystem (products, partners, platforms, and user interactions). Design, implement, and meticulously maintain critical metrics to accurately measure ecosystem health, growth, and engagement. Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies. Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making. Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders. Provide timely, high-quality analytical responses to urgent business inquiries.

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.
• 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.

Education/Experience

• Bachelor's degree