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Lead Data Scientist · Retrieval and Agent Systems

Jatin Hans

9 years building production ML and AI systems - from marketing science for global brands to LLM products, search relevance, and agentic systems.

Immediately availableDubai, UAEUAE Golden Visa - no sponsorship needed
hello@jatinhans.comLinkedInGitHub

What I deliver

career-wide results - every number survives follow-up

  • 9 yearsproduction data science, prototype to shipped product
  • Better accuracy at lower costmanual and legacy operations transitioned to LLM-based systems
  • 90% fewer human hoursproofreading and manual review tasks automated with AI
  • Sharper searchmeasurable precision gains in AI agent retrieval and relevance systems
  • Millions of documents dailyhigh-volume data pipelines built and run across multiple companies
  • Brands kept their customerschurn reduced and customer bases grown on multi-million-user platforms
  • Global brand impactpricing and marketing science for Coca-Cola, KFC, Pizza Hut, and Abbott

About

I have spent 9 years turning data science into shipped products - most recently at Nebius (Acquired Tavily) working on search relevance and revenue intelligence, and before that leading AI at Momos, where I took LLM-powered products from prototype to production across multiple brand clients.

My work spans two threads that keep converging: retrieval and agent systems (production RAG, LLM migrations, search relevance, guarded generation with human-in-the-loop routing) and marketing science (MMM, attribution, pricing, segmentation - a core domain across 8 of my 9 years, from consulting at Kvantum to Pizza Hut and KFC pricing at Yum! Brands).

I have partnered directly with founders and C-level stakeholders in every role, and have led project teams of 3-4 - a mix of data scientists and data analysts - on a project-to-project basis. I care about the unglamorous parts: evaluation, guardrails, honest metrics, and systems that know when to hand off to a human.

Experience

Lead Data Scientist - Nebius (Acquired Tavily)

Oct 2025 - May 2026

Abu Dhabi, UAE

  • Search relevance. Designed a production content-relevance and ML filtering layer for search with a sub-1ms latency budget, delivering ~29% precision improvement via a hybrid score-normalization method for BM25-based retrieval.
  • Revenue data platform. Built a platform ingesting 1M+ records daily with Change Data Capture and SCD2 versioned history, powering leadership dashboards, forecasting, and automated alerting.
  • Forecasting. Engineered a 12-month forecasting engine for revenue, usage, and user growth, with automated refresh and 2x/3x scenario simulations for capacity and revenue planning.
  • Monetization intelligence. Developed user-level prediction of month-end usage and spend, supporting upsell planning and proactive deal upgrades.

Lead Data Scientist (AI) - Momos

May 2022 - Sep 2025

Abu Dhabi, UAE

  • RAG response agent. Shipped a production retrieval-augmented (RAG) agent that drafts on-brand responses to customer reviews for multiple brand clients, with confidence-based routing to humans. Routine cases fully automated; response time cut from days to minutes.
  • LLM migration. Led the migration of the product's AI features to a new LLM stack: 30% accuracy improvement, 60% cost reduction.
  • AI Insights. Built automation that cut manual review-analysis time by 90%.

Lead Data Scientist - Yum! Brands (Acquired Kvantum)

Apr 2021 - May 2022

Delhi, India

  • Pricing and promotions. Led pricing analytics for Pizza Hut and KFC across Canada, Brazil, and the UK - elasticity models, promotion evaluation, and marketing mix modeling - partnering directly with the Chief Analytics Officer.

Senior Data Scientist - Kvantum Inc (Marketing Insights Consulting)

Aug 2017 - Mar 2021

Delhi, India

  • Churn reduction. Reduced customer churn from 40% to 33% on a 5M+ user base through segmentation and targeted intervention models.
  • Cross-industry consulting. Delivered marketing-analytics engagements across CPG, retail, pharma, FMCG, and QSR - for clients including Coca-Cola, Ross Stores, Abbott, Reynolds, and Garden of Life - MMM, attribution, cross-channel models, market-basket analysis.

Marketing science

a core domain across 8 of 9 years, not a side skill

  • Marketing Mix Modeling (MMM) and media mix attribution
  • LTO (Limited Time Offer) calendar planning
  • Cross-channel models and market-basket analysis
  • Customer segmentation and profiling for targeted marketing
  • Media planning and spend-to-return curves
  • Pricing and promotion elasticity

Skills

Applied AI / ML
LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, agentic systems, forecasting, segmentation, churn, price optimization
ML methods
XGBoost, CatBoost, Random Forest, neural networks, Kalman filters, convex optimization, clustering, SHAP, A/B testing, simulations, elasticity models
Search and retrieval
BM25, hybrid retrieval, ranking and reranking, Elasticsearch, pgvector
Data engineering
Python, SQL, PySpark, Snowflake, BigQuery, Databricks, Airflow, AWS Lambda, Azure Data Factory, Docker, FastAPI, CDC, SCD2
BI and dashboards
Tableau, Power BI, Kibana, Omni

Certifications

  • AI Agents in LangGraph - DeepLearning.AI
  • Building and Evaluating Data Agents - DeepLearning.AI

Education

  • Post Graduate Diploma in Applied Statistics - IGNOU, Delhi
  • B.Tech, Computer Science Engineering - GGSIPU, Delhi

Contact

Hiring for a senior data science, ML, or AI systems role in the UAE? I am immediately available and reply fast.

hello@jatinhans.com
linkedin.com/in/jatin-hans-dsgithub.com/jatin-hans