Senior Data Scientist at Snowflake working on predictive modeling and financial forecasting initiatives. Leading high - impact projects at the intersection of ML and business strategy.
About the role
- Hands-on analytics leader applying AI and data science to enhance eBay's shipping services. Collaborating with cross-functional teams and building advanced analytical models for operational excellence.
Responsibilities
- Solve complex, real-world business problems using AI and advanced analytics to optimize eBay’s domestic and cross-border shipping experience.
- Drive analytics to expand and scale and optimize eBay’s managed shipping and label platform globally, defining success metrics and measuring business impact.
- Build predictive models and carrier rate simulations to optimize cost, speed, reliability, and sustainability across global carrier networks.
- Analyze customer pain points to identify friction and propose data-informed product and business solutions that drive label adoption.
- Design and evaluate A/B experiments to guide smart decisions on product features, pricing, and policy.
- Develop AI-powered systems for real-time anomaly detection and operational performance monitoring.
- Build data pipelines and dashboards to democratize insights and accelerate decision-making across teams.
- Collaborate with Product, Engineering, and Finance partners to translate analytical findings into measurable business outcomes.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field (Master’s degree or MBA preferred)
- 8+ years of experience in data science, analytics, or a related quantitative role, with at least 2 years of people management experience and hands-on leadership responsibility
- Proven track record as a strong individual contributor, independently owning high-impact analytical initiatives end-to-end
- Expertise in SQL, Excel, and data visualization tools; proficiency in Python or R preferred
- Hands-on experience in product analytics, experimentation (A/B testing), and causal inference
- Demonstrated ability to apply data science and AI techniques to drive measurable business impact and solve optimization problems
- Excellent communication skills with the ability to translate complex analytical insights into clear, actionable recommendations for diverse stakeholders
- Working knowledge of modern AI tools such as Gemini, GPT, and large language models (LLMs) for data-driven automation and insights.
- Ability to thrive in a fast-paced, cross-functional, and collaborative environment.
Benefits
- Target bonus
- Restricted stock units
- Full range of medical benefits
- 401(k) eligibility
- Various paid time off benefits (PTO and parental leave)
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