Job highlights

- Expertise in forecasting, predictive modeling, and advanced analytics with hands-on experience in demand and sales forecasting

- Design, develop, and deploy machine learning models for forecasting and predictive analytics; build time-series forecasting solutions; analyze large datasets; collaborate with stakeholders; deploy and monitor models in production

About The Role

We are looking for a highly skilled Data Scientist / Machine Learning Engineer with robust experience in Forecasting, Predictive Modeling, and Advanced Analytics. The ideal candidate should have hands-on expertise in developing and deploying machine learning solutions for demand forecasting, sales forecasting, pricing analytics, inventory optimization, and business planning problems.

Key Responsibilities

- Design, develop, and deploy machine learning models for forecasting and predictive analytics.

- Build time-series forecasting solutions using statistical and ML techniques.

- Develop demand, sales, revenue, inventory,



and supply chain forecasting models.

- Analyze large structured and unstructured datasets to generate business insights.

- Perform feature engineering, model selection, hyperparameter tuning, and model validation.

- Collaborate with business stakeholders to translate business problems into analytical solutions.

- Deploy and monitor models in production environments.

- Create scalable ML pipelines and automate model retraining processes.

- Present analytical findings and recommendations to business and leadership teams.

Required Skills

Forecasting

- Time Series Forecasting

- Demand Forecasting

- Sales Forecasting

- Inventory Forecasting

- Revenue Forecasting

- Price Elasticity Modeling

Machine Learning

- Regression & Classification Models

- XGBoost, LightGBM, Random Forest

- Ensemble Learning

- Statistical Modeling

- Optimization Techniques

📌 Lead Data Scientist (Pune)
🏢 Tredence
📍 Pune