Ebay Snr Data Science Analyst FC 

India, Karnataka, Bengaluru 

211547254

About the Role

The ideal candidate will apply advanced analytics and data science techniques to:

• Drive innovation,
• Build scalable data products, and
• Deliver actionable recommendations through rigorous analysis.

Key Responsibilities

• Apply strong analytical and statistical skills to solve complex and unstructured business problems with structured, data-supported solutions.
• Drive product decisions using A/B testing techniques and experimental design.
• Lead innovation and continuous improvement within the Focus Category Analytics team.
• Develop data products that enable faster and more accurate decision-making.
• Leverage advanced analytics tools and data science models to solve category-level challenges.
• Collaborate with cross-functional teams — including Business, Product Management, Engineering, and Finance — to identify, prioritize, and resolve key business challenges.
• Serve as a trusted partner and advisor to senior leaders, translating complex analytical insights into actionable business recommendations.
• Create tools, dashboards, and reports to monitor and ensure program success.

Additional Requirements

• This role operates in a hybrid work model .
• Flexibility to attend late evening meetings (audio/video conferences) with U.S. or Europe-based teams, and to occasionally respond to emails or complete tasks during late evenings.

What We Expect From You

• Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics , or a related quantitative field.
  • Master’s degree or MBA preferred.
• 6+ years of experience in data science, analytics, or a related field .
• Strong analytical skills with proficiency in:
  • SQL
  • Excel
  • Data visualization tools (e.g., Tableau, Power BI, Looker)
• Proficiency in statistical programming languages such as Python or R .
• Background in product analytics , with hands-on experience in A/B test design and measurement preferred.
• Proven track record of using analytics and data science to:
  • Drive significant business impact,
  • Build predictive models, and
  • Solve optimization or elasticity problems.
• Excellent communication skills with the ability to translate technical findings into business insights for non-technical audiences.
• Experience working in a fast-paced, cross-functional environment .