Data Scientist

Factspan Analytics; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Factspan Analytics in Bengaluru, India is seeking a Data Scientist to own the full ML lifecycle from problem framing to monitoring. You'll build predictive models for CLV, churn and behavioral segmentation to drive targeted marketing campaigns, and lead rigorous experimental design including A/B testing and causal inference.

We value strong Python/SQL skills, cloud familiarity and experience in MLOps, with 5+ years in Data Science and 2+ years in Marketing/Consumer Analytics.

Qualifications

• 5+ years of professional experience in Data Science, with at least 2 years focused specifically on Marketing or Consumer Analytics.
• Strong end-to-end ownership across ML lifecycle: problem framing, data exploration, feature engineering, model development, deployment and monitoring.
• Experience with Python and SQL; familiar with cloud platforms and MLOps.
• Excellent verbal and written communication; ability to translate model outputs into growth levers for leadership.
• Proven track record leading data products from ideation to production.

Responsibilities

• Develop Customer Lifecycle Intelligence: Predictive models for CLV, churn or buying propensity, and behavioral segmentation to drive campaigns.
• Design and implement A/B testing and Causal Inference roadmap; validate incrementality testing and lift studies.

Skills

Python

SQL

ML models

MLOps

Cloud platforms

Data science lifecycle

Education

Bachlor's in Engineering

Job description

Position: Data Scientist

Bengaluru, Karnataka

Role Overview:

We are looking for a Data Scientist with strong end-to-end ownership across the entire machine learning lifecycle - spanning problem framing, data exploration, feature engineering, model development, experimentation, deployment and monitoring.

Key Responsibilities:

• Develop Customer Lifecycle Intelligence: Lead the development of predictive models for Customer Lifetime Value (CLV), churn or buying propensity, and behavioral segmentation to drive marketing campaigns.
• Optimize Experimental Design: Design and implement A/B testing and Causal Inference roadmap, ensuring rigorous statistical validation for incrementality testing and lift studies.

Technical Excellence & Code Standards:

• Conduct rigorous peer reviews of Python/SQL code and ensure the scalability of ML pipelines in production (MLOps).
• Stakeholder Influence: Translate technical model outputs into actionable "Growth Levers" for the CMO and Product heads, aligning data science initiatives with marketing targets.
• Communication: Excellent communication, both verbal and written is a must.

Technical skills:

• Experience with statistical and ML models, for both supervised and unsupervised learning. Hands-on expetise in Python and SQL is required. Knowledge of working in cloud platforms and familiarity with MLOps.
• 5+ years of professional experience in Data Science, with at least 2 years focused specifically on Marketing or Consumer Analytics.
• Proven track record of leading or working through the full data product lifecycle (from ideation to production.

Preferred Qualifications:

• Bachlor's in Engineering