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Arnab Dutta

@arnabdutta1

Data Science Manager at eBay who scaled a team to 45 and improved search with LLM-powered natural language capabilities.

Germany

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At eBay, I execute the applied research roadmap across Search, Relevance, and Catalogue, aligning AI work with business priorities. I scaled the local team from 0 to 45 in three months and currently manage a team of 20+ with a VP.

I built and scaled a Transformer-based Spell Correction model that reduced user exit rates by 2% and contributed over $6M incremental GMB. I also led development of LLM-powered natural language search, reducing zero-result pages by 9% and increasing engagement by 1%.

Before eBay, I led data science work at mobile.de and applied machine learning at N26, including a price prediction model and personalized user profiles. My earlier work at Lexmark and PwC covered data modeling, distributed systems, and workflow automation.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Science Manager

Current

eBay

Jan 2018 - Present (8 years 9 months)

Executed applied research roadmap across Search, Relevance, and Catalogue domains, driving multiple projects to production and creating positive customer and business impact. Scaled team from 0 to 45 and currently manages a 20+ team.

Leadership People Management LLM GenAI Search Relevance catalogue browse ML System Design Transformers NLP Research Mentorship KDD CIKM

Lead Data Scientist

mobile.de

Jan 2016 - Jan 2018 (2 years)

Led end-to-end development of a price prediction model, achieving a 5% increase in traffic conversion rates. Designed clustering algorithms for user segmentation and built propensity models to improve sales volume.

Price Prediction Clustering Propensity Modeling Stakeholder Collaboration Product Marketing Analytics Python SQL

Senior Data Scientist

N26

Jan 2015 - Jan 2016 (1 year)

Applied ML for banking using Neural Networks and NLP to enhance customer engagement. Developed personalized user profiles and managed end-to-end deployment of ML products, reducing time-to-deployment by 3x.

Neural Networks NLP Personalization ML Deployment Scaling Mentorship Recruitment

Sr Software Engineer

Lexmark

Jan 2008 - Jan 2010 (2 years)

Led data modeling for a web-based printer management tool, achieving a 10% efficiency improvement. Engineered a robust asynchronous data transaction pipeline between network devices and the application.

Data Modeling Database Design Distributed Systems Asynchronous Pipelines Java SQL

Senior Technical Consultant

PwC

Jan 2005 - Jan 2008 (3 years)

Automated data management workflows through stored procedures, improving operational efficiency by 40%. Designed a 100-user file sharing pipeline with Java Message Service.

Process Automation Stored Procedures JMS Distributed Pipelines data consistency Security