Senior Data Scientist (Product Analytics)

TL;DR

Senior Data Scientist (Product Analytics): Leading analytics for distribution and syndication partnerships to measure success across carriers and OEMs with an accent on measurement frameworks and market landscape analysis. Focus on translating ambiguous business goals into measurable outcomes and optimizing distribution strategy through rigorous statistical analysis.

Location: Hybrid (United States)

Salary: $102,000 - $212,500 per year

Company

hirify.global is a global media and technology company serving hundreds of millions of users through its iconic portfolio of products.

What you will do

• Define and own measurement frameworks for distribution and syndication partnerships, identifying key metrics for various deal types.
• Evaluate end-to-end partnership performance from pre-deal sizing and goal-setting to post-mortem analysis.
• Conduct market landscape analysis to map the distribution ecosystem and identify strategic whitespace opportunities.
• Influence product strategy and roadmap through data-driven storytelling with Product and Engineering teams.
• Apply advanced statistical methods, including regression, cohort analysis, and causal inference, to analyze user behavior.
• Implement AI-augmented workflows using tools like Gemini and Copilot to automate SQL/Python generation and research.

Requirements

• 5+ years of experience in product or business analytics with ownership of large-scale measurement frameworks.
• Proven experience supporting strategic partnerships, specifically defining partnership-specific success metrics.
• Strong statistical foundation in hypothesis testing, regression, and causal inference.
• Proficiency in SQL and Python or R, and experience with BI tools such as Looker or Tableau.
• Hands-on experience with generative AI tools (Gemini, ChatGPT, Claude) and coding assistants like GitHub Copilot.
• Must be based in the US (indicated by 401k and US healthcare benefits).

Nice to have

• Experience with consumer-facing digital products with 10M+ DAU.
• Advanced degree in a quantitative field such as Statistics, Economics, or Computer Science.
• Familiarity with the OEM, carrier, or browser distribution ecosystem.
• Knowledge of structured prompt engineering for extracting intelligence from commercial agreements.

Culture & Benefits

• Flexible hybrid work options with occasional in-person team sessions and events.
• Comprehensive benefits package including healthcare and a 401k plan.
• Practical perks such as backup childcare and education stipends.
• Inclusive environment with 11 employee resource groups (ERGs) to foster belonging.