[Remote] Senior Data Scientist, Distribution & Partnerships

Note: The job is a remote job and is open to candidates in USA. Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. We are hiring a Senior-level Data Scientist to lead analytics for Yahoo.com News Group distribution and syndication partnerships, defining measurement success and building the analytical foundation for partnership management.

Responsibilities

• Define and own the measurement frameworks for distribution and syndication partnerships — identifying the right metrics for each deal type and building the infrastructure to track them reliably
• 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 that inform BD targeting and partnership strategy
• 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
• Lead AI-augmented analytical workflows — leveraging tools like Gemini or Copilot - to automate routine queries, synthesize complex contracts, draft documentation, and accelerate SQL/Python script generation
• Actively 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

Skills

• 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
• Comfort operating without a playbook; proven success in environments where the right metrics weren't obvious and had to be established through stakeholder alignment and strong analytical judgment
• 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
• Experience with consumer-facing or large-scale digital products (10M+ DAU), particularly in a distribution or growth context
• Experience building analytical frameworks, processes, or entire measurement playbooks from scratch in an ambiguous, fast-moving environment
• Advanced degree in a quantitative field (Statistics, Economics, Computer Science, etc.)
• Familiarity with the OEM, carrier, or browser distribution ecosystem
• Familiarity with structured prompt engineering to manipulate unstructured datasets and extract strategic intelligence from commercial agreements

Benefits

• Incentive compensation opportunities in the form of discretionary annual bonus or commissions
• Healthcare
• A great 401k
• Backup childcare
• Education stipends

Company Overview

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