Senior Data Scientist

eBay Inc.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading e-commerce platform is seeking an experienced Data Scientist to join the Shipping Analytics team. The role involves solving complex shipping challenges, driving analytics to expand the shipping platform, and building predictive models to optimize cost and reliability. The ideal candidate has over 8 years of experience in data science and a strong background in AI, SQL, and analytics. This position offers a collaborative environment focused on innovation and problem-solving in shipping logistics.

Qualifications

• 8+ years of experience in data science, analytics, or a related quantitative role.
• Proven track record as a strong individual contributor, owning high-impact analytical initiatives.
• Hands-on experience in product analytics, experimentation (A/B testing), and causal inference.

Responsibilities

• Solve complex, real‑world business problems using AI and advanced analytics.
• Drive analytics to expand eBay's managed shipping and label platform.
• Build predictive models and carrier rate simulations.

Skills

Data Science

Analytics

SQL

Excel

Python

R

Product Analytics

Communication

Education

Bachelor's degree in a quantitative field

Master's degree or MBA preferred

Tools

Data Visualization Tools

Job description

About the team & role: Shipping Analytics team drives eBay's key shipping initiatives through data‑driven insights and advanced analytics. We are a global, fast‑paced team passionate about making shipping at eBay more reliable, accurate, affordable, and seamless through the use of AI, innovation, and experimentation.

What You Will Accomplish

• 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 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.

What You Will Bring

• 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.
• 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.
• Nice to have: Prior experience with global logistics, shipping operations, or carrier network performance data.

Some Interesting Questions We’re Trying to Answer

• How can we model friction across the seller label purchase funnel to identify behavioral and product‑level barriers to adoption?
• How can large language models and AI‑driven simulations recommend carriers that balance cost, reliability, and SLA compliance?
• Which seller cohorts show the highest incremental response to targeted interventions, and how can predictive systems personalize label adoption at scale?
• How do category, item value, and delivery speed influence buyer sensitivity to shipping costs across global markets?
• How can AI improve the accuracy of package weight and dimension predictions, and what is the downstream impact on cost estimation and carrier selection?
• What early signals can AI‑based anomaly detection uncover in carrier network performance, and how can they be used to mitigate operational risks proactively?

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability.