Data Scientist - Consumer Internet Product

Description:

Data Scientist Consumer Internet Product (Mumbai)

Location: Mumbai

Experience: 2-5 years

About the Role:

We are hiring a Data Scientist to build and scale machine learning solutions for a large-scale consumer internet product. The role focuses on solving real business problems using data, experimentation, and production-grade ML systems.

You will work closely with Product and Engineering teams to design, deploy, and monitor models that directly impact personalization, discovery, pricing, and platform safety.

Key Responsibilities:

- Partner with Product teams to identify high-impact ML opportunities aligned with business KPIs

- Build, train, and deploy ML models for recommendations, ranking, pricing optimization, and fraud/risk detection

- Work with large structured and unstructured datasets to create reliable features

- Productionize models using APIs, CI/CD pipelines, and Docker

- Deploy and manage ML systems on AWS or GCP

- Design and evaluate experiments using A/B testing frameworks

- Monitor model performance, data drift, and business impact metrics

Mandatory Requirements:

- 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer

- Strong proficiency in Python and SQL

- Solid understanding of classical ML algorithms (regression, tree-based models, boosting techniques)

- Hands-on experience in at least two of the following areas:

Recommendation systems:

NLP (text classification, embeddings, similarity models, user profiling)

Fraud or risk detection

Pricing or demand modeling

Propensity or churn modeling

- Experience deploying ML models into production environments

- Exposure to AWS or GCP

- Background in product-based companies (consumer internet/B2C preferred)

- Candidates from banking, fintech, or financial services backgrounds will not be considered

Preferred Profile:

- Experience working on consumer-facing, high-scale products

- Strong understanding of experimentation and model evaluation metrics

- Ability to communicate insights clearly and work with cross-functional stakeholders