Manager Data Science Analytics jobs at Ebay in India, Bengaluru

You will lead the architecture and delivery of our AI-native analytics applications, integrating insight generation with robust, scalable platform design . This role combines hands-on technical leadership with an analytical product mindset - crafting interactive agentic experiences that reason over data, generate insights, and accelerate decisions.

You’ll own the frontend and middleware layers powering our analytics agents - from React-based interfaces that blend charts, chat, and narrative, to API orchestration layers that retrieve, ground, and validate data through LLMs. You’ll lead by code, by architecture, and by influence - setting patterns, mentoring, and collaborating with analysts, data scientists, and PMs to ship meaningful outcomes fast.

Architect the intelligence layer

• agentic workflows that connect user intent to data - integrating chat, worksheets, streaming, and visual explanations.

• Define the application and service architecture for how AI retrieves, reasons, and presents insights (tool use, citations, schema validation).

Build for analytics at scale

• Build the orchestration layer that connects user interactions to AI reasoning - handling auth, rate limits, experiments, and data retrieval pipelines.

• Establish data contracts and APIs that unify metrics, events, and visualizations across analytics domains.

Elevate the user experience

• Drive performance, accessibility, and visualization excellence with standardized components and fast, reliable UI states.

• Champion data storytelling - enabling users to go from metric → narrative → action.

Make AI analytics safe and trustworthy

• Implement grounding (RAG), output validation, PII scrubbing, prompt-injection defenses, and human-in-loop review patterns.

• Optimize for observability - OpenTelemetry, tracing, latency/cost dashboards, and model performance analytics.

Grow and scale the team

• Mentor teams to prototype fast, validate with data, and evolve solutions through evidence-based iteration.

• Work with eBay Engineering team, AI platform team, Legal to productionalize new use cases.

• 5+ years building data-intelligent applications ; 2+ years shaping the design and direction of complex, insight-driven products.

• Deep experience with React and the visual language of data - interactive charts, responsive layouts, and dynamic states.

• Strong grasp of service design and orchestration - building APIs and interaction layers that connect user intent to AI reasoning (e.g. FastAPI).

• Proven experience with LLM-powered systems - tool/function calling, vector search, schema validation, and performance optimization.

• Familiar with modern analytics patterns - self-serve exploration, experimentation, metric stores, and KPI workflows.

• Solid grounding in observability, security, and privacy - with an emphasis on transparency, traceability, and data trust.

• An articulate systems thinker with a product mindset and clear communication style.

• Experience with design systems and charting libraries (e.g. Highcharts, Plotly).

• Background in BI or analytics platforms (e.g., Looker, Mode, Amplitude, Tableau).

• Familiarity with models and software deployment (e.g. Kubernetes).

• Hands-on experience implementing agent analytics or AI copilots for data exploration.

• agentic UI that fuses chat, visualization, and live data into one seamless insight experience.

• A resilient, observable backend that keeps agents reliable, secure, and cost-efficient.

• Noticeably faster time-to-insight and growing active usage

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

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 person will need to work with a large number of teams within eBay to make these visions successful, so building close, effective relationships with partner Product Managers will be critical. In addition, this person will translate product strategy into detailed specifications, make functional and user interface design tradeoffs, manage product launches and own the product successes post-launch. Having the experience and ability to write clear, consistent and detailed product specs will be essential. He or she will work closely with a cross-functional team of engineering, analytics, product marketing, and user research to deliver these products.

• Act as primary liaison between partner Product Managers to ensure fluid planning, design, and development of new and existing features
• Plan roadmaps according to strong product visions, bounded by finite engineering resources
• Define product requirements including writing clear, detailed, and thorough specifications for complex features and products
• Analyze user behavior data, user experience research, and marketing research to understand and drive new features & improvements
• Work with the Design team to ensure the user interface leverages industry and eBay standards, and fits into the overall product vision of the item details page
• Work with the Product Development team to ensure extensibility and scalability with the technical design
• Work with the Quality Engineering team to ensure the final delivery meets product requirements
• Solicit feedback and communicate product benefits and changes to the user community
• Ensure product vision and requirements are defined globally and for all devices, meeting the needs of global eBay sites and mobile apps, and support the goal of a single global marketplace

Job Requirements:

• 5+ years of product management or related experience. Passionate about quality products.
• Strong understanding of user interaction, design, and research
• Strong analytic skills and ability to synthesize data from multiple sources
• Demonstrated experience in writing unambiguous and clear technical specifications
• Experience working closely with internal partners on product planning, design, and development
• Experience successfully managing multiple projects through product life cycle from concept to delivery while meeting schedules and budget
• Passionate advocate for user, and has proven results in achieving superb user experience within tight constraints
• Strong cross functional team leader
• Demonstrated leadership ability, self-motivated and directed, entrepreneurial ability to innovate quickly

Basic Qualifications:

• MS Master's Degree
• Degree in a technical discipline or equivalent industry experience

Responsibilities:

• Analyze eBay’s large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.

• Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.

• Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why

• Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.

• Develop strategies for channel optimization and content strategy.

• Design, develop, and execute experimentation frameworks, including A/B testing and uplift modeling, to measure marketing effectiveness.

• Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).

• Provide data support for business operation, design self-service tools, dashboards etc.

• Communicate business performance in a clear and insightful way to the business.

• Develop, improve and systemize crisp & accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities. Leads automation of recurring tasks.

• Translates business problems into a scientific formulation for an AI/Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products

Job Skills required:

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

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

• Sound business judgment and quantitative analytic ability.

• Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.

• Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.

• Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.

• Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.

Desired Qualifications:

• BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.

• 5+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.

• Skilled in database query tools utilizing SQL, and Hadoop experience is a plus.

• Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.

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

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 people will interact with recommender systems in the future, and how recommender systems technology will evolve

• 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 GMB as well as advertising revenue via organic and sponsored recommendations

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 engineering/research team, preferably in a ML/AI technology environment

• Experience with using cloud services, big data pipelines and databases

• Experience in Natural Language Processing (NLP) and industrial recommender systems

• 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.

Links to some of our previous work:

• (GenAI Agentic Platform)

Team & Process Leadership

• Manage a blended team of Reconciliation Operations Analysts and Reconciliation Data Analysts focused on transaction-level accuracy, data recovery and ledger control.
• Works closely with the global Team and leadership to deliver on reconciliation operation goals
• Oversee T+1/T+3 reconciliation cycles across global payment processors, internal systems, and ledger platforms.
• Drive SOP compliance and internal control readiness (e.g., SOX), including documentation for audit support.

Cross-Functional Collaboration

• Work closely with Engineering, Product Managers, Finance Controllers, Risk, and Compliance teams.
• Review exception reporting and analysis with accounting.
• Follow the SOP global recon teams created to ensure alignment on reconciliations and reporting standards.

Technical Oversight

• Strong problem solving and issue investigation skill in production
• Provide strategic direction for data automation , Python/SQL scripting , and Big Data analysis to improve reconciliation coverage and efficiency.
• Review and guide implementation of machine learning models for anomaly detection, failure prediction, and reconciliation intelligence.

Required Qualifications

• 8+ years of experience in financial operations, reconciliation, data analytics , or payments ecosystems
• 4+ years of experience managing high-performing teams in a cross-functional environment
• great team ability to work across multiple offices and time zones in a very diverse setting.
• Strong tech background especially skills in SQL , Python , and familiarity with Big Data technologies (Hive, Spark, BigQuery)
• Knowledge of accounting flows, journal entries , and reconciliation automation
• Demonstrated understanding of AI/ML models (e.g., classification, clustering, anomaly detection)

Preferred Qualifications

• Experience in e-commerce , fintech , or payments operations
• Hands-on exposure to BI/reporting tools (Tableau, MicroStrategy, Power BI)
• Proven ability to scale data-driven reconciliation solutions across multiple payment channels and geographies