Data Scientist driving analytics and experiments for Jerry.ai’s AI - powered advisor for cars, homes, and other physical assets. Embedded across growth, product, AI, or strategic partnerships.
About the role
- Senior Manager leading Growth Product Insights for The Athletic, a sports media company. Guiding analysts and using experimentation to drive subscription and product decisions.
Responsibilities
- Manage, mentor, and grow a team of Data Analysts
- Model analytical rigor, evaluate statistical approaches, and contribute hands-on to ambiguous, high-stakes projects
- Shift the team from reactive service analytics and dashboard maintenance to proactive strategic inquiry
- Explain the reasons behind performance metrics and translate data into concrete business recommendations
- Partner with Product, Design, and Growth leaders to influence roadmap strategy and prioritize high-impact initiatives
- Establish clear learning objectives before analytical work begins
- Oversee product experimentation, including A/B testing, causal inference, and behavioral/cohort modeling across digital destinations and app ecosystems
- Define rigorous guardrails and success metrics
- Partner with upstream data and engineering teams to understand data pipelines and navigate data complexity
- Establish standardized, trusted metric definitions across the organization
- Integrate modern data tools and generative AI capabilities into daily workflows
- Demonstrate commitment to The Athletic’s values, journalistic independence, and The New York Times Company mission
- Report to the Director, Data & Insights
Requirements
- 7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles delivering reporting, analysis, and strategic insight
- 1–3+ years of experience formally managing, leading, or mentoring data scientists or analysts
- Expertise in SQL
- Experience with large-scale relational databases and modern cloud data warehouses, such as Snowflake or BigQuery
- Proficiency in Python or R for statistical modeling, data manipulation, and deeper quantitative analysis
- Experience with modern BI/data visualization tools such as Looker, Tableau, or Mode
- Strong background in experimentation (A/B testing), causal inference, and cohort/retention modeling within a digital subscription or media environment
- Experience in digital media or subscription-based business model highly preferred
- Familiarity with version control workflows (Git, Github, code reviews) highly preferred
- Experience navigating upstream data complexity and working with high-volume, real-time event data highly preferred
- Passion for sports media and digital publishing highly preferred
- Bachelor’s, Master’s, or PhD in a quantitative field highly preferred
Benefits
- Variable pay, such as an annual bonus and restricted stock, may be available for U.S. roles depending on the role
- Medical, dental and vision benefits
- Flexible Spending Accounts (F.S.A.s)
- Company-matching 401(k) plan
- Paid vacation
- Paid sick days
- Paid parental leave
- Tuition reimbursement
- Professional development programs
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