Data Science Manager

Job Description

What you will accomplish :

– Support C2C product analytics and experimentation strategy for M&A integrations.

– Support the leadership team in measuring, understanding, and driving success for eBay sellers through data science analysis, reporting, and competitive intelligence.

– Define and implement consistent metrics, experimentation frameworks, and measurement standards to support data-driven decision-making.

– Support AI-focused initiatives by prototyping and delivering data products and tools that enhance product performance and automate analytical workflows.

– Establish high standards for data quality, instrumentation, and metric definitions, aligning data architecture and semantic layers across teams.

– Own business performance tracking through domain scorecards, support regular reviews, and translate insights into clear recommendations for leadership and stakeholders.

– Partner with product, engineering, and business stakeholders to prioritise initiatives, remove bottlenecks, and deliver impactful outcomes.

– Develop scalable processes and solutions that improve the speed, quality, and effectiveness of analytics across the organisation.

Required qualifications :

– Bachelor’s or Master’s degree (or equivalent practical experience) in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field.

– 7+ years of Experience.

– Strong hands-on SQL skills, including experience working with large and complex datasets.

– Ability to create intuitive, user-friendly dashboards and data visualisations using appropriate BI or analytics tools, with a strong focus on usability, clarity, and actionable insights.

– Exposure to A/B testing, causal inference, or quasi-experimental methods.

– Experience in product analytics, including funnel analysis, feature adoption, customer behaviour, performance measurement, and insight generation.

– Strong analytical and problem-solving skills, with attention to data quality, metric definitions, and methodological rigour.

– Ability to connect data with product and business context and convert findings into clear, actionable recommendations.

– Effective written and verbal communication skills, with the ability to collaborate across product, engineering, business, and analytics teams.

– Ability to manage multiple priorities, work independently, and deliver high-quality outcomes in a fast-paced environment.

– An AI-first mindset and interest in using AI tools to improve analytical productivity and decision-making.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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