2+ Linear regression Jobs in Mumbai | Linear regression Job openings in Mumbai

What You’ll Do

● Partner with Product to spot high-leverage ML opportunities tied to business

metrics.

● Wrangle large structured and unstructured datasets; build reliable features and

data contracts.

● Build and ship models to:

○ Enhance customer experiences and personalization

○ Boost revenue via pricing/discount optimization

○ Power user-to-user discovery and ranking (matchmaking at scale)

○ Detect and block fraud/risk in real time

○ Score conversion/churn/acceptance propensity for targeted actions

● Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.

● Design and run A/B tests with guardrails.

● Build monitoring for model/data drift and business KPIs

What We’re Looking For

● 2–4 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.

● Proven, hands-on success in at least two (preferably 3–4) of the following:

○ Recommender systems (retrieval + ranking, NDCG/Recall, online lift;

bandits a plus)

○ Fraud/risk detection (severe class imbalance, PR-AUC)

○ Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs,

guardrails/simulation)

○ Propensity models (payment/churn)

● Programming: strong Python and SQL; solid git, Docker, CI/CD.

● Cloud and data: experience with AWS or GCP; familiarity with

warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).

● ML breadth: recommender systems, NLP or user profiling, anomaly detection.

● Communication: clear storytelling with data; can align stakeholders and drive decisions.

Dolat Capital is a multi-strategy trading firm, dedicated to producing superior returns by adhering to mathematical and statistical techniques. We trade actively in all Asset classes: equities, futures, options, commodities, currencies and fixed income taking advantage of our ultra-low latency infrastructure. Our low latency infrastructure is in C++, one of the most competitive in terms of latency.

The Quantitative Research team at Dolat Capital focuses on quantitative trading, specifically fully automated trading systems. We develop proprietary algorithms by using mathematical techniques and statistical analysis to identify patterns and behavior of markets.

The incumbent will be responsible to design, develop and implement computational algorithms/strategies that succeed in generating sizable profits consistently, in real life market for a high-frequency trading environment