Data Scientist (Product Company, Mumbai)

People Interactive

Website: peopleinteractive.in
Job details:

About the Role

We are looking for a Data Scientist / Machine Learning Engineer to build and deploy high-impact ML solutions that directly influence business metrics such as revenue, customer experience, and risk mitigation.

This is a product-focused role, where you will work closely with Product and Engineering teams to identify opportunities, build models, and ship them into production at scale.

What You’ll Do

• Partner with Product teams to identify high-impact ML use cases tied to business outcomes
• Work with large structured and unstructured datasets to build robust features and pipelines
• Build and deploy ML models for:
• Personalization and recommendation systems
• Pricing and discount optimization
• User matching, ranking, and discovery systems
• Fraud detection and risk modeling
• Churn / conversion / propensity modeling
• Develop and productionize models using APIs, CI/CD pipelines, Docker
• Work on cloud platforms (AWS / GCP) for scalable ML deployment
• Design and run A/B experiments with proper guardrails
• Build monitoring systems for model performance, data drift, and business KPIs
• Collaborate closely with engineering teams to ensure scalable implementation

Ideal Candidate

• 3+ years of experience as a Data Scientist / Machine Learning Engineer
• Strong programming skills in Python
• Solid understanding and hands-on experience with:
• Classical ML algorithms (regression, decision trees, gradient boosting)
• Deep Learning frameworks (TensorFlow / PyTorch)
• Hands-on experience in at least 2+ ML use cases:
• Recommendation systems
• NLP / text processing
• Fraud / risk modeling
• Pricing models
• Propensity modeling
• Strong experience in NLP:
• Text classification / generation
• Embeddings and similarity models
• Feature extraction from unstructured data
• Experience with productionizing ML models (APIs, Docker, CI/CD)
• Hands-on exposure to AWS / GCP environments
• Strong problem-solving and business-oriented thinking

What We’re Not Looking For

• Profiles with only academic/research experience (no production ML)
• Candidates from pure financial/banking domains
• Candidates without hands-on model deployment experience

Why Join Us

• Work on real-world ML problems with direct business impact
• Opportunity to build and scale production-grade ML systems
• Collaborative environment with product + engineering alignment
• High ownership and visibility in a fast-growing product company

Location Requirement

• Candidates must be based in Mumbai or originally from Mumbai

Click on Apply to know more.