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Ebay Sr. Manager Analytics Data Science India, Karnataka, Bengaluru 782029094
16.09.2025
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Key Responsibilities
- Leadership & Team Management
- Lead, mentor, and develop a team of 20+ business analysts and data scientists, fostering a culture of innovation, collaboration, and problem-solving.
- Drive adoption of best practices in analytics, experimentation, and machine learning deployment.
- Analytics & Data Science Delivery
- Design and deliver interactive dashboards, AI-driven data products, and predictive ML models to enable business-critical decision-making.
- Lead initiatives to predict customer behavior, including purchase patterns, CRM campaign responses, and churn/upsell/cross-sell potential.
- Oversee product analytics efforts, including experiment design, A/B testing, and statistical validation, to optimize customer experiences and business outcomes.
- Business Partnership & Stakeholder Management
- Act as the primary analytics partner to senior business leaders in Focus Categories (Fashion, Collectibles, Vehicle Parts & Accessories, Live Commerce).
- Translate complex data insights into actionable recommendations, influencing strategic decisions across category management and customer engagement.
- Represent the India Analytics Center to global stakeholders, building trust and credibility through impactful delivery.
- Innovation & Thought Leadership
- Champion the application of advanced ML modeling techniques to business challenges.
- Identify opportunities to leverage emerging technologies and tools in AI/ML for competitive advantage.
- Drive continuous improvement in analytics methodologies, data quality, and automation.
- Experience
- 12–15 years of progressive experience in data analytics and data science, with at least 5+ years in leadership roles.
- Proven track record of applying analytics in a consumer internet / e-commerce environment highly preferred.
- Strong people management experience, with demonstrated ability to lead and scale teams of 15+ professionals.
- Technical Expertise
- Hands-on background as an analyst/data scientist, with deep proficiency in SQL, R, Python, and standard ML libraries.
- Exposure to advanced ML techniques (predictive modeling, classification, clustering, recommendation engines, NLP).
- Expertise in product analytics: experimentation frameworks, A/B testing platforms, and causal inference techniques.
- Strong understanding of data visualization, BI tools, and dashboard design.
- Educational Background
- Degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Economics, or related field. Advanced degree (Master’s/PhD) is a plus.
- Leadership & Soft Skills
- Excellent stakeholder management skills, with the ability to communicate complex analyses to non-technical audiences and influence at senior levels.
- Strong problem-solving mindset with a bias for action and an entrepreneurial spirit.
- Passion for leveraging AI and data science to solve high-impact business problems.
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