Data Scientist III – Strategic Partnerships & Affiliates

Overview

The Data Scientist III is a senior individual contributor responsible for delivering advanced analytics, experimentation, and decision science solutions in support of SPA’s commercial objectives. This role focuses on advanced reporting and dashboarding, statistical analysis and experimentation, partner and client performance analysis, leadership decision support, and decision science tooling. It is expected to work independently on complex, well-defined problems and influence decisions through high-quality insights.

• Advanced Reporting & Analytics:
  Design, develop, and maintain advanced dashboards and performance reporting used by commercial, finance, and leadership stakeholders. Ensure outputs are accurate, scalable, and aligned with KPIs. Proactively identify improvements in reporting structure, clarity, and usability.
• Experimentation & Statistical Testing:
  Design and analyze commercial experiments, including A/B tests, incrementality tests, and quasi-experimental analyses. Apply appropriate statistical methods and clearly document methodology, results, and implications.
• Commercial & Partner Performance Analysis:
  Perform in-depth analyses of partner and client performance to identify drivers of growth and risks. Surface trends and actionable insights for leadership; collaborate with commercial and finance partners to interpret results.
• Decision Support & Investment Analytics:
  Deliver analytical insights for prioritization and investment decisions. Build scenario analyses, forecasts, and decision frameworks; support leadership discussions with data-driven recommendations.
• Decision Science Tooling & Automation:
  Build and maintain tools, models, and reusable analytical assets. Contribute to AI-powered workflows and automations; identify repeatable processes to standardize or automate.

• Experience:
  
  Typically 3–5+ years in data science, analytics, or related quantitative role. Bachelor’s degree in a quantitative field;
  Master’s degree a plus. Ecommerce/marketing/partner analytics experience preferred.
• Technical & Analytical
  
  Skills:
  
  Advanced SQL on large multi-source datasets; strong statistics, experimentation, causal analysis; proficiency in Python or R; experience with data engineering, visualization, and dashboarding tools (e.g., Databricks, Tableau, Power BI).
• Business & Communication
  
  Skills:
  
  Ability to translate analysis into commercial insights; communicate clearly to non-technical audiences; engage with senior stakeholders using data-driven narratives; willingness to adopt new tools and automate to speed insights.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.