Data Scientist

Data Scientist Product Company

Location: Mumbai (Onsite)

Experience: 25 Years

Industry: Consumer Internet / Product

About the Role

We are looking for a Data Scientist who can work closely with Product and Engineering teams to build scalable machine learning solutions that directly impact business metrics such as user engagement, revenue, and retention.

Key Responsibilities

• Partner with Product teams to identify high-impact ML opportunities aligned with business goals
• Work on large-scale structured and unstructured datasets to build robust data pipelines and features
• Develop and deploy machine learning models for:
• Personalization and recommendation systems
• User matching and ranking algorithms
• Pricing and revenue optimization
• Fraud detection and risk modeling
• Churn, conversion, and propensity modeling
• Collaborate with Engineering teams to productionize models using APIs, CI/CD pipelines, and cloud platforms
• Design and execute A/B experiments to evaluate model performance
• Monitor model performance, data drift, and business KPIs

Required Skills & Experience

• 25 years of experience in Data Science / Machine Learning roles (preferably in product-based companies)
• Strong programming skills in Python and SQL
• Hands-on experience in building and deploying ML models end-to-end
• Experience in at least 2 of the following:
• Recommendation systems
• Fraud / risk analytics
• Pricing or demand modeling
• Propensity / churn models
• Exposure to NLP, user profiling, or anomaly detection
• Experience with AWS / GCP, Docker, CI/CD pipelines
• Familiarity with data tools like Redshift, BigQuery, Tableau, or Looker
• Strong problem-solving and stakeholder communication skills

Preferred Background

• Experience in consumer internet / B2C product companies
• Proven track record of shipping ML models to production (78+ models preferred)
• Understanding of experimentation frameworks and statistical validation

Key Competencies

• Data-driven decision making
• Strong business understanding with technical execution
• Ownership mindset
• Ability to work in fast-paced product environments

Candidate Requirements (Mandatory)

• Minimum 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer
• Strong expertise in Python with hands-on implementation of classical ML algorithms (regression, decision trees, gradient boosting, etc.)
• Practical experience with Neural Networks / Deep Learning (TensorFlow or PyTorch preferred)
• Hands-on experience in at least 2 use cases: recommendation systems, image data, fraud/risk detection, pricing models, or propensity models
• Strong exposure to NLP (text classification, embeddings, similarity models, user profiling, feature extraction from unstructured text)
• Experience in productionizing ML models using APIs, CI/CD pipelines, Docker, and cloud platforms (AWS/GCP)
• Preference for candidates from product-based environments (non-financial domain preferred)
• Must be based in Mumbai or open to relocating immediately