Description Role Overview We are looking for an experienced Data Scientist to support in developing advanced analytics, predictive models, and data-driven business solutions. The candidate will work closely with business stakeholders, data engineering teams, and BI developers to transform large-scale sales, dealer, distributor, and customer datasets into actionable business insights. The role requires solid technical expertise in Python, SQL, machine learning, and Azure Databricks, along with an understanding of sales and distribution business processes.

Key Responsibilities

- Data Science & Predictive Analytics
- Develop predictive models for sales forecasting, demand planning, and revenue optimization.
- Build dealer and distributor performance prediction models.
- Perform customer segmentation, clustering, and behavioral analysis.
- Identify sales trends, anomalies, and business growth opportunities.
- Develop lead scoring and conversion prediction models.
- Implement churn prediction and customer retention analytics.
- Data Engineering & Analytics
- Extract, transform, and analyze large datasets using SQL, Python, and Azure Databricks.




- Develop scalable data preparation and feature engineering pipelines.
- Work with Delta Lake and structured datasets.
- Perform exploratory data analysis (EDA), statistical testing, and hypothesis validation.
- Collaborate with data engineers to ensure data quality and availability.
- Business Analytics
- Analyze primary and secondary sales performance.
- Evaluate dealer productivity, territory performance, and regional sales trends.
- Identify drivers of sales achievement and target deviations.
- Support Paint Craft lead lifecycle and conversion analytics.
- Develop actionable insights for sales, marketing, and finance stakeholders.
- Collaborate with Power BI teams to operationalize analytical outputs.
- Model Deployment & Monitoring
- Develop reusable machine learning pipelines.
- Deploy and monitor predictive models in Databricks environments.
- Track model accuracy, drift, and performance.
- Document model assumptions, methodologies, and business impact.

📌 Data Scientist (Mumbai)
🏢 IITjobs
📍 Mumbai