דרושים Data Science Analyst ב-איביי ב-India, Bengaluru

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

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.

Key Responsibilities:

• Research and analyze global payment trends, emerging technologies, and the competitive landscape to identify opportunities for innovation and improvement

• Present research findings, payment trends and process improvement opportunities to stakeholders

• Create and document business requirements, policies and procedures that support the execution of the strategic vision

• Partner with product managers and cross-functional teams to ensure alignment and successful delivery of payment platform initiatives

• Collaborate with business development and finance teams to develop data driven business cases and recommendations

• Act as a liaison between vendors and internal teams to facilitate smooth daily operations and resolve issues efficiently

• Define, manage and implement compliance policies; oversee vendor portal access and coordinate with auditors to ensure SOX and other regulatory compliance requirements are met

Qualifications

• BA/BS required, MBA preferred in finance, economics, business, information technology or a related field

• 5+ years of experience in ecommerce, payments, investment banking, cross border, payment networks or related fields. Experience in fintech is a plus

• 5+ years in product strategy, product management, and/or go-to-market roles

• Strong business judgement and quantitative analytical skills with the ability to engage deeply in technical discussions as needed

• Solid understanding of global payments ecosystems, gateways, and cross border transactions processes

• Proven ability to extract insights from research and analysis to inform business recommendations

• Excellent communication skills, being clear, concise and effective in both written and verbal formats

• High intellectual curiosity, passion for problem solving and comfort operating in ambiguous, fast paced environments

• Ability to foster relationships and influence across teams and partners without direct authority

• Innovative mindset with a proactive approach to identifying and solving problems

• Capable of managing multiple projects simultaneously in a dynamic, evolving work environment

Job Description

Responsibilities will include, but are not limited to the following:

• Monthly forecasting, annual budgeting, and ad-hoc reporting support.
• Responsible for the execution of the monthly financial close, journal entries, accurate financial reporting of expenses, and hiring plans
• Drive analysis of cost trends and articulate related cause and effect to managers
• Work closely with Controllership team to coordinate compliance with US GAAP, ensure that the relevant financial control processes are used and appropriate audit trail maintained at all times
• Build and maintain positive relationships with various parts of the business to understand their needs and/or requests, and challenge methodologies to ensure balance between shareholders, customer and business partner expectations
• Continuously identify opportunities to automate and streamline processes to increase efficiency and accuracy in the operational planning processes
• Provide insightful and actionable monthly reports comparing actual trends against budget and forecast assumptions
• Build presentation content for Monthly Business Review of key metrics and expense drivers

Experience and qualifications required:

• Bachelor’s degree in Business, Accounting, or Finance
• Passionate about business and the related performance
• 3+ years of finance experience with exposure to different areas (business analysis, accounting, FP&A, etc.)
• Experience with financial systems such as Anaplan, SAP[, BW, etc. is a plus
• Strong interpersonal skills and a proven track record to partner effectively with all functions and levels within the organization
• Excellent written and verbal communication skills
• Ability to multi-task and manage timelines
• Ability to perform in a matrix organization with multiple partners with a high degree of complexity and ambiguity
• The ideal candidate will have outstanding technical skills with spreadsheets, presentations, along with proven financial analysis capabilities

What you will accomplish:

• Modeling & NLP Development
  • Design LLM-based pipelines (e.g., using Langchain frameworks) to identify and summarize customer pain points from textual data.
  • Develop summarization, clustering, and topic modeling approaches to group recurring themes across markets and product lines.
  • Apply prompt engineering , retrieval-augmented generation (RAG) , and embedding search to improve model accuracy and relevance.
  • Use machine learning methods in concert with LLM.

• Data Engineering & Processing
  • Build and maintain data pipelines to ingest and clean data from diverse sources (e.g., surveys, customer support tickets, product reviews, social media, and CRM systems).
  • Ensure data quality, scalability, and compliance with internal governance and data privacy policies.
  • Productionize models and integrate outputs with downstream systems and dashboards.

• Insights Delivery & Visualization
  • Design and build interactive visualizations (in JavaScript) that make model outputs accessible and actionable for non-technical stakeholders.
  • Partner with Insights teams to create data stories and presentations that influence business strategy using clear, human-readable summaries of complex findings.

What you will bring:

• Ability to derive insight from data, visualize it appropriately and influence others to drive outcomes
• MSc or PhD in Computer Science, Data Science, Statistics, or a related field .
• 4+ years of experience in machine learning , NLP , or data-driven product development .
• Strong coding proficiency in Python (Pandas, PyTorch, Hugging Face, LangChain, umap, hdbscan, etc.)
• Strong experience with front end development with JavaScript and data visualization libraries (e.g. D3.js)
• Experience deploying and managing machine learning services in containerized environments using Docker and Kubernetes .
• Deep understanding of vector databases , semantic search , and embedding-based retrieval systems .
• Proficient with GitHub and modern version control best practices (e.g. code reviews, CI/CD workflows).
• Proven experience working with large-scale unstructured text data .

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 )

Key Responsibilities:

• Research and analyze global payment trends, emerging technologies, and the competitive landscape to identify opportunities for innovation and improvement

• Present research findings, payment trends and process improvement opportunities to stakeholders

• Create and document business requirements, policies and procedures that support the execution of the strategic vision

• Partner with product managers and cross-functional teams to ensure alignment and successful delivery of payment platform initiatives

• Collaborate with business development and finance teams to develop data driven business cases and recommendations

• Act as a liaison between vendors and internal teams to facilitate smooth daily operations and resolve issues efficiently

• Define, manage and implement compliance policies; oversee vendor portal access and coordinate with auditors to ensure SOX and other regulatory compliance requirements are met

Qualifications

• BA/BS required, MBA preferred in finance, economics, business, information technology or a related field

• 3+ years of experience in ecommerce, payments, investment banking, cross border, payment networks or related fields. Experience in fintech is a plus

• 3+ years in product strategy, product management, and/or go-to-market roles

• Strong business judgement and quantitative analytical skills with the ability to engage deeply in technical discussions as needed

• Solid understanding of global payments ecosystems, gateways, and cross border transactions processes

• Proven ability to extract insights from research and analysis to inform business recommendations

• Excellent communication skills, being clear, concise and effective in both written and verbal formats

• High intellectual curiosity, passion for problem solving and comfort operating in ambiguous, fast paced environments

• Ability to foster relationships and influence across teams and partners without direct authority

• Innovative mindset with a proactive approach to identifying and solving problems

• Capable of managing multiple projects simultaneously in a dynamic, evolving work environment