Senior Data Scientist, Distribution & Partnerships

About the role

We are hiring a Senior-level Data Scientist to lead analytics for Yahoo.com News Group distribution and syndication partnerships. Key responsibilities include:

• Define and own the measurement frameworks for distribution and syndication partnerships.
• Evaluate partnership performance end-to-end, from pre-deal sizing and goal-setting through ongoing measurement and post-mortem analysis.
• Conduct market landscape analysis to map the distribution ecosystem, identify coverage gaps and whitespace, and deliver prioritized opportunity assessments.
• Support the Business Development team with data-driven analysis: sizing potential partners and modeling expected impact to frame the analytical case for pursuing or passing on deals.
• Influence product strategy and roadmap through data-driven storytelling, partnering closely with Product, Engineering, and Business Development.
• Conduct deep-dive analyses to identify growth opportunities and surface insights that wouldn't emerge from standard reporting.
• Apply advanced statistical methods (e.g., regression, cohort analysis, causal inference) to understand how distribution channels drive user behavior and long-term retention.
• Build dashboards and scalable data assets that enable self-service analytics for partnership and BD stakeholders.
• Partner with Data Engineering to build reliable, scalable datasets that serve as sources of truth for partnership data.
• Leverage AI tools (like Gemini or Copilot) to automate routine queries, synthesize complex contracts, draft documentation, and accelerate SQL/Python script generation.
• Identify and implement AI-driven efficiencies in your daily tasks, replacing manual, repetitive workflows with automation or AI-assisted data procedures.
• Perform rigorous validation and governance checks on AI-assisted code and analysis outputs, serving as a validator to guarantee exceptional statistical integrity and accuracy.
• Provide guidance, strategic mentorship, and methodologies that raise the analytical bar for the broader cross-functional team.

Requirements

Qualifications include:

• 5+ years of experience in product analytics, business analytics, or data science with ownership of metrics and measurement frameworks at scale.
• Demonstrated experience supporting distribution, syndication, or strategic partnerships with analytics — including defining partnership-specific success metrics.
• Strong statistical foundation, including hypothesis testing, regression, and causal inference.
• Experience conducting market landscape or competitive analysis — synthesizing internal performance data with external signals to surface strategic opportunities for business or BD teams.
• Strong proficiency in SQL and Python or R.
• Experience with BI tools (e.g., Looker, Tableau).
• Experience partnering with Data Engineering to build reliable datasets and event instrumentation.
• Ability to operate independently and influence cross-functional stakeholders — including non-technical BD and business audiences — through clear, confident communication.
• Hands-on experience leveraging generative AI tools (such as Gemini, ChatGPT, or Claude) and AI-assisted coding assistants (such as GitHub Copilot) to optimize analytics workflows, troubleshoot code, and accelerate strategic research.