Manager, Data Science Analytics (Shipping)

Overview :

We are seeking a Manager to lead the Shipping Analytics function at eBay. In this role, you will partner closely with the Shipping business, product and engineering teams, leveraging eBay's vast data ecosystem to uncover insights, influence the Shipping team roadmap, and drive customer-centric innovation across our marketplace.

Shipping sits at the intersection of buyer experience, seller economics, and marketplace growth - influencing conversion, cost, speed, and trust across global transactions.

You will lead a team of talented analysts, data scientists, champion experimentation excellence, and shape analytics strategy for one of eBay's most critical user experiences - Shipping. This role combines hands-on analytics depth, strategic impact, and leadership responsibility.

Key Responsibilities :

1. Strategic Analytics Leadership :

- Serve as the analytics thought leader for eBay's shipping product, setting the vision for data-driven decision-making to optimize eBay's shipping experience.

- Partner with Product, Engineering, and Business stakeholders to define success metrics, establish analytical frameworks, and guide prioritization.

- Own the end-to-end analytics roadmap for Shipping - from opportunity sizing and hypothesis generation to measurement, experimentation, and impact evaluation.

2. Technical Ownership :

- Build and scale AI-enabled analytics systems (e.g., automated insight generation, agentic workflows, decision-support tools).

- Leverage LLMs and modern data tooling to accelerate analysis and insight delivery.

- Ability to hypothesize and design experiments, data science simulations to solve complex shipping problems at eBay.

3. Cross-Functional Collaboration :

- Drive alignment across product areas, ensuring consistent measurement standards and shared learnings.

- Advocate for data democratization by building scalable and trusted data pipelines, self-serve tools, and metric documentation.

4. Operational & Execution Excellence :

- Evaluate feature and experiment performance, ensuring decisions are rooted in robust data analysis.

- Enable rapid insight generation through automation and scalable experimentation pipelines.

- Continuously improve analytical workflows and frameworks for speed and reliability.

- Set a high bar for analytical thinking, problem framing, and business impact.

Required Skills & Experience :

- 6 - 9 years of experience in product analytics, data science, or rigorous analytics roles; 2+ years leading analytics teams.

- Deep expertise in SQL, Python, and building AI applications.

- Strong foundation in statistics, data science fundamentals, and data-driven hypothesis testing.

- Proven track record of delivering insights that drive measurable business and product impact.

- Excellent communication skills - able to translate data into actionable narratives and influence senior executives.

- Demonstrated success in highly matrixed, cross-functional environments.

Preferred Qualifications :

- Advanced degree in a quantitative field (Statistics, Economics, Computer Science, Engineering, Mathematics, etc.).

- Familiarity with big data platforms, experimentation frameworks, and LLM/AI tools.

- Experience building or influencing data and metric infrastructure for large-scale experimentation systems.

- Strong presentation and stakeholder management skills.