Responsibilities

- Frame ambiguous business problems (e.g., traveler personalization, price elasticity, fraud propensity, demand forecasting, ranking/recommendations) as well-specified ML problems with explicit success metrics.

- Design, train, and validate models spanning classical ML (GBMs, GLMs), deep learning (sequence models, embeddings, transformers), and causal inference / uplift modeling for pricing and marketing use cases.

- Research, adapt, or design novel ML algorithms and statistical estimators when off-the-shelf approaches fall short - custom loss functions, specialized estimators, and algorithmic optimizations for travel-scale problems.

- Design and analyze A/B tests and quasi-experiments to validate model impact; partner with Analytics/Data Science on metric selection and guardrails.

- Perform deep exploratory data analysis on large-scale travel data (bookings, clickstream, pricing, supply) using distributed compute (Spark, Databricks).





- Partner with Senior/Staff ML Engineers to translate research prototypes (notebooks) into production-ready model specs, feature definitions, and evaluation harnesses.

- Continuously monitor deployed models for drift, bias, and degradation; propose retraining/redesign strategies.

- Mentor mid-level data scientists/MLS on modeling rigor, experiment design, and statistical pitfalls.

- Communicate findings and trade-offs to product and engineering leadership in terms of business impact (conversion, revenue per visitor, margin, NPS).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Machine Learning Scientist (Bengaluru)
🏢 Affine Analytics
📍 Bengaluru