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

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

As a senior engineer, you'll take part throughout the product development lifecycle—from conceptual design to product launch—while working closely with Product Managers, Designers, and Architectural teams.

What you'll do and learn:

• Translate requirements to software design and create clean, efficient, extensible, maintainable crash-free code thats aligned with native platform guidelines

• Responsible for subsytems within a large domain, possessing in-depth knowledge and expertise. Taking full responsibility for the entire software life cycle, including design, development, testing, deployment, observability and monitoring.

• Serve as a key player in influencing and guiding others towards the right technical decisions.

• Identifying areas of features likely to change and integrating flexibility in the design for these area improving engineering velocity.

• Collaborate effectively with cross-functional partners to develop innovative solutions that adhere to development goals and principles.

• Manage project features, break into sub-tasks, identify and resolve issues for efficient execution.

• Provide technical guidance, code review for immediate team and other teams, coaching, and mentorship to individual team members.

• Identify gaps and issues across systems and functional areas, propose solutions, build the engineering roadmap, and drive resolution.

• Leads and improves E2E testing quality and increase delivery velocity across features

What you will bring:

• 6+ years professional experience in native mobile development

• Understanding of advanced swift features such as generics / concurrency mgmt /

• Experience with dependency management tools in iOS - SPM/Cocoapods/Carthage etc

• Basic understanding of system design for large scale consumer mobile applications

• Familiarity with CI/CD tools

• Advanced networking skills ie. migration between stacks, graphql, protobuff, streaming protocols, pub-sub ect.

• Experience monitoring and improving app performance

• experience designing, implementing, maintaining shared code

• Advanced understanding of iOS design paradigms (HIG)

• Innovative, team player, excellent communication and decision-making

• Strong sense of ownership and interpersonal skills to work effectively across teams

• Strong learning ability, self-driven

• Excited about new and innovative technologies within immediate field of expertise

• Attending knowledge sharing sessions, both within the company and externally

• Learning transferable skills

• Bachelor's degree in EE, CS or other related field..

You will be responsible for creation of concept, design, development, testing and maintenance of applications for reliability, security, manageability, scalability, extensibility, performance, and re-use; provides technical expertise in the areas of architecture, design, and implementation. Works with technical and business team members to create excellent software. You will help determine the best implementation that will meet the design of the Application Architect. Ensures that thorough unit and component testing is carried out. Sets and adheres to software coding and style guides to ensure consistency.

What you will accomplish:

• Design and architect scalable, highly available, and fault-tolerant systems
• Own the development and optimization of our core applications using Python & Java, ensuring high-quality standards are maintained
• Work closely with cross-functional partners to understand requirements and translate them into effective technical solutions
• Ensure security best practices are coordinated into our development and deployment processes
• Stay current with new Python/Java/JavaScript development, and architectural standard methodologies
• Manage a team of technical professionals to align, commit & deliver common purpose of this team
• Lead by example, giving high-quality code reviews, and encouraging a culture of excellence and continuous improvement

What you will bring:

• Experience in building large scale Web Services and Backend Applications using Java/J2EE, RESTful Web Services, HTTP and JSON technologies
• A minimum of 12+ years of software development experience on large-scale, high-volume, technical systems in a microservice based architecture for cloud infrastructure
• Bachelor’s degree and 15+ years (or) a MS in Computer Science and 12+ years of software design and proven experience
• A minimum of five years of management experience
• Proven success providing project management artifacts in an agile environment.
• Excellent problem-solving abilities and strong oral and written communication skills with engineers and non-engineers alike
• Strong ability to coach engineers & great at mentoring, helping them improve their skills and grow their careers (including managing remote engineers)
• Strong sense of ownership, embrace differences and disagreement to get things done and move forward.
• Knowledge of networking, security, and database design. Design & Implemented CI/CD pipelines.
• Proficient in microservices, event driven architecture and container orchestration tools (e.g., Kubernetes, Docker).

• Developed and drove adoption of technical patterns that significantly improved engineering practices across the organization.
• Expertise in Python & Java, with a deep understanding of its ecosystems and frameworks.
• Expertise with Node.js / JavaScript / Scala is a plus
• 1+ years of experience in applying AI to practical and comprehensive technology solutions

Responsibilities:

• This individual will partner with eBay Paid Marketing team along with other cross functional teams to meet their analytic needs and conduct extensive analyses of eBay's rich data, generating insights, and communicating those insights to the team to guide the project roadmap.

• In the process, this person will develop a deep understanding of eBay Marketplaces and site functionality, further strengthen their analytical, leadership, and presentation skills, and gain exposure to a wide variety of functional teams within eBay.

• This person will bring strong technical, analytical, and strategic strengths with a deep background in statistics, mathematics, and/or engineering. We are looking for a very customer-focused Data Science Professional with who can contribute and build breakthrough, outstanding analytical solutions to help solve sophisticated problems and drive key business decisions.

• Builds scalable AI based Products solving for end-to-end robust use cases. Defines standards for model development and deployment. Identifies and champions the adoption of new AI and quantitative methods, by staying abreast of industry trends and innovations.

• Analytics at eBay is a multidisciplinary craft and it is foundational; it is a strategic arm that heavily influences critical decisions made by eBay leaders. As a Senior Manager / Lead Data Scientist , qualified candidates will also assume leadership responsibilities for departmental activities/responsibilities, including:

  • Advising, guiding, and counseling junior staff members as and when needed to ensure full team alignment and compliance with eBay Marketplaces policies and procedures.

  • Identifying, recruiting, hiring, developing, and mentoring top talent across a broader team.

  • Act as a functional leader for assigned Business areas/domains including defining Analytics roadmap, guiding Business strategy and influencing decision making

Day-to-day duties include:

• Build close partnership with the business and product teams to Innovate, identify and explore new analytics and operational opportunities to help get results to enable the Business Units to track and drive initiatives.

• Identify, quantify, prioritize, test, launch and monitor improvements in business initiatives, marketing programs, website experience or policy changes.

• Key “go-to” person to provide thought leadership and recommendations to future business direction collaborating with commercial and development groups.

• Function as a liaison across multiple product or business domain teams and take ownership of driving analytics impact into cross-department initiatives.

• Evaluate performance of tested features and programs and deliver final test results in a clear, concise and actionable manner.

• Post-launch monitoring: measure performance of features and programs post launch and report back to product and business teams

• Communicate findings to partners, product management, business and product development teams

• Promote a self-serve analytics culture for the organization by educating partners on key reports, data, and interpretation standard methodologies

Job Skills required:

• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity

• A passion for understanding and serving the unique community of eBay

• Exceptional business judgment and quantitative analytic ability and demonstrate assertive decision making

• A proven track record of end to end analytics - problem definition, collating the required information, analyzing the results, synthesizing and communicating a compelling argument and influencing collaborators to act

• Ability to collaborate with key partners in a highly matrixed environment including regional business teams, product, technology, and finance in order to plan and implement eBay's analytics roadmap.

• Experience with data and analytical tools including R and Python. Knowledge of statistics (e.g., multivariate statistics, predictive modeling, controlled test design)

• Ability to identify and take on critical projects, as well as lead multiple projects simultaneously in a dynamic, changing environment. Excellent time management, willingness to take calculated risks and make decisions with imperfect information

• Prior experience or deep knowledge of Performance Marketing including Paid Search, Affiliate Marketing, Programmatic Display & Social or related fields will be highly preferred

Desired Qualifications:

• BTech/BE/BS/BA degree (ideally in a quantitative field such in Engineering, Statistics, Applied Econometrics, Math, Physics, Computer Science, other related Core Sciences or equivalent) with 8+ years of experience in analytics and exposure to varied functions within analytics/finance OR Master’s degree in similar field/MBA and 6+ years of experience in analytics and exposure to varied functions within analytics/finance

• Advanced Excel, PowerPoint skills and database query skills (e.g., Teradata SQL, SparkSQL); and an understanding of data warehouse architecture, impacting large domain/business unit results and partner relationships

• Experience with Hadoop/Hive/Python/R/R Shiny and Tableau, ideally in web analytics or at a leading management consulting, financial services or marketing company.

• Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.

• At least 1-2 years of experience as business partner to senior executives in a business unit within an organization, with proven results and outstanding quantitative and qualitative analytic impact

• Effective project leader who understands business problems and current business trends, responsible for improving financial and business performance

• Real-world problem-solving experience for business using Data Science and Machine Learning a plus

As a , you will work at the intersection of , and . You will be responsible for performing high-volume reconciliations and analysis between internal ledgers, payment pipelines, and banking partners. Additionally, you will apply to detect mismatches, predict anomalies, and support proactive financial risk management.

Reconciliation & Data Integrity

• Execute automated reconciliations between payment gateways, banking settlements, and internal transaction records.
• Maintain reconciliation SLAs (e.g., T+1, T+3 variance resolution) and build recon dashboards for daily break monitoring.
• Build and monitor dashboards for break detection, aging summaries, and resolution tracking.
• Use spark SQL queries and semi-structured data extraction for deep reconciliation pipelines.

Data Engineering & Automation

• Write scalable Hive/BigQuery queries to do RCA automation
• Build web tool using Python scripts to reduce manual work and data research.
• Develop and maintain recon tools and workflows using orchestration platforms (e.g., Airflow, DLS).
• Support pipeline enhancements by collaborating with engineering teams to optimize recon job performance.

Reporting & Audit

• Provide payment insights to support business decision and monitoring
• Present analysis findings and root cause summaries to finance controllers and auditors.
• Ensure data integrity in SOX-auditable recon processes; assist with documentation for internal controls.
• Support audit and compliance teams with automated variance tracking logs and break classification logic.

AI/ML-Driven Anomaly Detection & Forecasting

• Build lightweight ML models (e.g., classification, outlier detection) to provide issue summary, RCA of exception, payment data insight.
• Implement anomaly detection frameworks
• Work closely with data scientists and engineering to deploy detection pipelines within scheduled recon workflows.

Required:

• 4–7 years in data analytics, reconciliation, financial operations, or payments analytics
• Proficient in SQL , Hive/Presto , Python (Pandas, NumPy)
• Experience with Hadoop , Spark , or cloud-scale data platforms
• Ability to work independently with large-scale financial data systems
• Strong skill of Tableau or other BI tools

Preferred:

• Working knowledge of ML algorithms applied to anomaly detection or classification problems is plus
• Familiarity with financial data flows: settlements, payments, general ledger, etc.
• Understanding of ledger reconciliations, journal entries , and financial compliance

This is an opportunity to:

• Lead and manage a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI, recommender systems, and ML production engineering
• Drive personalization strategy for eBay recommendations and influence look and feel of the eBay homepage
• Influence how customers will interact with shipping AI systems in the future and drive AI technology evolution and adoption
• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users
• Develop and deploy state of the art AI models
• Deploy big data technology and large scale data pipelines
• Drive marketplace revenue, margin and customer delight by driving lower shipping costs, faster delivery speed and accurate product classifications for international shipments

Qualifications

• MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI
• Experience leading a nimble applied science team, preferably in a ML/AI technology environment
• Experience with using cloud services, big data pipelines and databases
• Experience in Machine Learning, Deep Learning, Natural Language Processing (NLP) and Large Language Models
• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high-volume traffic webapp development in an industrial setting
• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus

As a senior engineer, you'll take part throughout the product development lifecycle—from conceptual design to product launch—while working closely with Product Managers, Designers, and Architectural teams.

What you'll do and learn:

• Develop features that are modular and loosely coupled

• Able to translate product and design documents into clean, high-quality, crash-free, well-tested and maintainable production code autonomously

• Write unit tests and automation code for all shipped features

• Conduct code review for immediate team

• Develop and maintain technical documentation to support software applications.

• Propose and evaluate multiple design options, providing estimates for each.

• Structure and complete tasks independently, meeting deadlines and milestones.

• Effectively communicate assumptions and seek clarification from stakeholders, ensuring alignment and understanding across all domains.

What you will bring:

• 4+ years professional experience in native mobile development

• Understanding of advanced swift features such as generics / concurrency mgmt /

• Experience with dependency management tools in iOS - SPM/Cocoapods/Carthage etc

• Basic understanding of system design for large scale consumer mobile applications

• Familiarity with CI/CD tools

• Experience implementing modern platform design patterns

• Understanding of testing iOS applications using platform tools

• Experience with production monitoring

• Basic proficiency with swift memory management

• Strong learning ability, self-driven

• Excited about new and innovative technologies within immediate field of expertise

• Attending knowledge sharing sessions, both within the company and externally

• Innovative, team player, excellent communication and decision-making

• Bachelor's degree in EE, CS or other related field or equivalent exp.