Manager Data Science – Analytics jobs at Ebay in India, Bengaluru

We’re seeking a Member of Technical Staff 1 (Software Engineer) who can work independently and is an expert in distributed systems . You’ll design and deliver well-scoped services and features that advance eBay’s Core Data Platform—improving scalability, reliability, and developer experience. This role is Data Platform Engineering not data engineering ): you’ll build and evolve the platform itself rather than author application pipelines.

• Independently design, implement, and ship distributed services and features end-to-end (design → code → tests → deploy → operate).

• Build core platform capabilities across ingestion, streaming, lakehouse/warehouse, catalog, and governance .

• Write production-grade code with strong observability (metrics, logs, traces) and SLOs , and participate in on-call for the services you own.

• Diagnose and resolve performance, scalability, and correctness issues in distributed environments.

• Contribute design docs for your areas; participate in reviews to uphold reliability, security, and cost best practices.

• Collaborate with product, infra, and analytics teams to align technical work with business outcomes.
  

• 6+ years of professional software engineering experience (or equivalent impact).

• Expertise in distributed systems fundamentals (consensus, replication, partitioning, consistency models, fault tolerance) and practical experience building and running such systems in production.

• Strong coding skills in Java/Python and familiarity with CI/CD .

• Hands-on with some of: Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .

• Proven ability to work independently , make sound tradeoffs, and deliver quality outcomes with minimal supervision.

• Solid debugging, performance analysis, and system design skills.
  

• multi-tenant platform services, data governance, or privacy-by-design controls.

• Contributions to open-source distributed systems or data platforms.
  

• ships independent, well-scoped features/services to production with strong reliability.

• Demonstrably improves throughput/latency/cost or availability/SLOs on owned services.

• Becomes a go-to engineer for distributed-systems debugging and design conversations within the team.

• Maintains high code quality, test coverage, and quality-in-release metrics.
  

• Impact at scale: Your platform work powers analytics and ML across a global marketplace.

• Hard problems: Streaming freshness/correctness, storage/compute efficiency, multi-region resiliency.

• Collaborative culture: Inclusive team that values autonomy, craftsmanship, and knowledge sharing.

• Growth:

​
​Job Responsibilities

• Hire, manage and mentor Product Managers responsible for the Landing Page Platform, Linking Services and Tools.
• Develop and lead the execution of a strategic vision for those areas.
  Define and prioritize product roadmaps, aligning with business goals and market trends:
• --Oversee the management and refinement of buyer intent data definitions for category and model landing pages. Collaborate with SEO experts to ensure pages are optimized for search engine visibility and user engagement.
• --Lead initiatives to improve navigational elements, ensuring seamless connectivity between landing pages and eBay's site structure. Innovate linking strategies to enhance user experience and site navigation efficiency.
• --Drive the development and enhancement of operational tools for manual intervention and automation. Ensure tools are user-friendly and facilitate efficient management of landing page operations.
• Work closely with engineering, product partners, technical SEO, business partners, operations and analytics teams to deliver cohesive product solutions.
• Foster a collaborative environment that encourages innovation and continuous improvement.
• Establish KPIs and metrics to monitor the quality, performance, and impact of the landing pages and linking services.
  Provide regular reports and insights to stakeholders, driving data-informed decision-making.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Business or a related field;
• MBA or advanced degree preferred.
• Proven experience in product management
• Excellent leadership skills with a track record of managing high-performing teams.
• Ability to think strategically and execute methodically, with a strong attention to detail.
• Exceptional communication and collaboration skills, capable of working across diverse teams.
• Familiarity with e-commerce platforms

We’re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us do it.

This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering—ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.

You’ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.

● Analyze & Optimize eCommerce Product Data – Run deep SQL & Python analyses to identify opportunities in taxonomy, ontology, and structured data for search & discovery improvements.

● Leverage LLMs for Analytical Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.

● Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.

● Drive Insights & Strategy – Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.

● Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.

● Prototype and Experiment – Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.

● Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation.

● Product Analytics Mindset – Familiarity with eCommerce search, recommendations, and knowledge graph applications

● Strong Communication – Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.

● AI/LLM Experience – Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred )

At the intersection of AI, data science, and product discovery , we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real.

As , you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics .

This is a embedded in our , where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage.

What You’ll Lead & Deliver

• Optimize Product Knowledge at Scale
  Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery.

• Build LLM-Powered Solutions
  Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence.

• Design Model Evaluation Frameworks
  Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems.

• Turn Data into Strategy
  Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution.

• Prototype & Experiment Rapidly
  Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions.

• Partner for Production Impact
  Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems.

What You Bring

• 7+ years of experience in analytics, data science, or ML roles

• Advanced proficiency in SQL and Python for analytics, automation, and experimentation

• Familiarity with eCommerce discovery , product classification, and search or recommendation systems

• Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required)

• Strong grasp of model evaluation , including metrics design and benchmarking

• A startup mindset—bias for action, high ownership, and comfort with ambiguity

• Excellent communicator with the ability to influence cross-functional stakeholders

Why You’ll Love It Here

• Drive real impact at the core of product discovery innovation

• Work hands-on with cutting-edge AI and data platforms

• Collaborate with some of the best minds in AI, Product, and Engineering

• Own high-visibility projects in a startup-like, high-trust culture

• Build scalable, magical, and relevant product data systems used by millions

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 .

Key Responsibilities:

• Provide leadership and strategic direction to the software development teams within the CDT organization.

• Collaborate with product management and other stakeholders to align development activities with business goals and product vision.

• Drive the design, development, and deployment of scalable and reliable data solutions.

• Foster a culture of innovation and continuous improvement in technology and processes.

• Ensure high standards of software quality and the adoption of best practices in software development.

• Manage resources effectively, including budget, personnel, and technology.

• Mentor and develop a high-performing team of software development professionals.

Qualifications:

• 10+ years of experience in software development, with a significant focus on data technologies and platforms.

• Previous experience in a leadership role within a large-scale, technology-driven organization.

• Strong technical expertise in modern data architectures, cloud technologies, and software engineering practices.

• Excellent project management skills and the ability to lead complex technical projects.

• Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Lead a diversely skilled team members comprising of engineers, ML developers and product owners.

• Drive engineering initiatives that enhance risk management and transaction security, ensuring a customer-centric approach and excellent developer experience.

• Collaborate with cross-functional teams to integrate robust technical solutions aligned with business objectives and focused on customer needs.

• Mentor and develop team members, fostering a culture of continuous learning and growth with emphasis on hiring and retaining top talent.

• Execute eBay’s Risk engineering strategies to achieve measurable performance improvements and optimize developer experience.

• Innovate and influence the adoption of market-leading technology capabilities, rapidly evaluating and scaling new technologies where appropriate.

• Lead cross-team collaborations that support eBay’s overall business metrics.

• At least 12 years of experience in software development, with the latest 4 years as an Engineering Manager.

• Hands-on experience with technologies like Java, JEE, Spark, Hadoop, Apache Flink, RDBMS, NoSql.

• Extensive experience in software development, especially within risk management platforms or related fields.

• Strong technical expertise in solution design patterns, data systems, and machine learning frameworks.

• Proven leadership skills with the ability to mentor and guide engineering teams.

• Excellent communication skills to translate and distill complex technical concepts for various audiences.

• Willingness to travel as needed for this role to collaborate with global teams.