- Bengaluru, Karnataka, India
- Hybrid
- Full-time · Senior
- 4–6 years
We are hiring a hands-on Data Scientist with 4–6 years of experience building and shipping classical machine-learning models on enterprise business data. The role sits in a central AI team at an enterprise client that serves the whole business.
Responsibilities
- Pick up problems from any function as the business needs them and frame them as supervised-learning tasks — e.g. deal win/loss and churn classification, price and margin prediction, demand and revenue forecasting, lead scoring and customer segmentation for marketing, supplier risk and spend classification in procurement, attrition prediction in HR, anomaly detection in operations.
- Build, tune and validate models end to end: feature engineering, model selection, cross-validation, hyperparameter tuning, calibration and error analysis.
- Work with structured enterprise data from CRM, ERP, product master and finance systems — profiling, cleaning, joining and resolving data-quality gaps before modelling.
- Run exploratory analysis and statistical tests (hypothesis testing, A/B analysis, causal reasoning) to back recommendations with evidence.
- Explain model behaviour to business stakeholders using interpretability techniques (SHAP, feature importance, partial dependence) and plain-language insight.
Requirements
- statistics
- mathematics
- computer science
- engineering
- economics