Job Overview:

We are looking for an experienced Data Scientist to join our team and develop advanced analytics, machine learning, forecasting, anomaly detection, entity resolution, and data intelligence solutions for an enterprise data platform. The ideal candidate will have solid hands-on experience in statistical analysis, machine learning, Python, SQL, data profiling, predictive modelling, and business problem solving.
The role will focus on improving data quality, standardizing business entities, building forecasting models, identifying anomalies, and generating actionable insights for business teams.

Key Responsibilities:
- Analyze large-scale business datasets, including POS, sales, customer, distributor, product, territory, finance, and operational data.
- Perform detailed data profiling to identify missing values, duplicates, outliers, inconsistent formats, grain differences, and data quality gaps.
- Develop machine learning models for entity resolution, customer/product/distributor matching, data imputation, anomaly detection, segmentation, and forecasting.




- Design and implement POS file similarity cohorting models to group similar file structures and support reusable ingestion/mapping templates.
- Build Named Entity Resolution solutions to standardize customer, distributor, product, territory, and channel names against master data.
- Develop field-level data imputation strategies using rule-based, statistical, and ML-based methods.
- Create data quality scoring frameworks, dataset health scores, and business readiness metrics.
- Build sales forecasting, demand forecasting, and sales landing/projection models using statistical, machine learning, and ensemble techniques.
- Develop anomaly detection models to identify unusual movements in sales, quantity, revenue, unit price, distributor performance, and forecast variance.
- Perform customer and distributor segmentation using RFM, clustering, growth-value analysis, and opportunity scoring.
- Evaluate thir

📌 Data Scientist (Bengaluru)
🏢 Carnation Infotech
📍 Bengaluru