Data Scientist

India, Tamil Nadu, Chennai

3 weeks ago

Applicants: 0

Machine Learning Engineering MARKETING Python Cloud Platforms Pandas NumPy Scikit-learn Azure Data Science SaaS Statistics Analytics Dashboards Probability

INR 12 - 20 LPA

3 months left to apply

Job Description

Job Description

We are seeking a Data Scientist to work on product, customer, and business data for a scalable B2B SaaS platform.

The role focuses on transforming large volumes of structured and semi-structured data into actionable insights, predictive models, and experimentation frameworks that directly influence product decisions, customer retention, and revenue growth.

This position is best suited for candidates with prior experience in B2B SaaS or product-led environments, where data is embedded into daily decision-making.

Key Responsibilities

Analyze product usage, customer behavior, and transactional data to identify trends, risks, and growth opportunities
Build and deploy statistical and machine learning models for:
Customer churn prediction
Retention and engagement analysis
Usage forecasting and demand modeling
Design, execute, and evaluate A/B tests and experiments for product and growth initiatives
Collaborate with Product Managers, Engineering, Marketing, and Business teams to define data-driven strategies
Develop dashboards and reports tracking SaaS metrics such as activation, retention, churn, LTV, and conversion funnels
Ensure data accuracy, quality checks, and monitoring for analytics pipelines
Communicate insights clearly to technical and non-technical stakeholders

Qualifications

3+ years of experience as a Data Scientist in a B2B SaaS or product-based company
Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
Advanced SQL skills with experience querying large datasets
Solid foundation in statistics, probability, and machine learning
Experience working with SaaS business metrics (churn, retention, cohorts, funnel analysis)
Experience with cloud platforms (AWS, GCP, or Azure)
Ability to translate business problems into data science solutions