Lead Data Scientist

Tredence; Pune District, Gurugram District, Bengaluru; Híbrido; INR 1.200.000 - 1.900.000; Jornada completa

Descripción de la vacante

Tredence Inc. in Pune seeks a Data Scientist / Machine Learning Engineer to design and deploy forecasting and analytics solutions across demand, sales, pricing, and inventory.

You will build time-series models, perform feature engineering, validate models, and collaborate with stakeholders to translate business problems into scalable ML pipelines. The role emphasizes production deployment, monitoring, and presenting insights to leadership.

Formación

• Experience in forecasting and predictive analytics across demand, sales, pricing and inventory.
• Hands-on ML model development, evaluation, and feature engineering.
• Ability to translate business problems into analytical solutions and present results.

Responsabilidades

• Design, develop, and deploy ML 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 leadership.

Conocimientos

Time Series Forecasting

Demand Forecasting

Sales Forecasting

Inventory Forecasting

Revenue Forecasting

Price Elasticity Modeling

Regression & Classification Models

XGBoost

LightGBM

Random Forest

Ensemble Learning

Statistical Modeling

Optimization Techniques

Herramientas

XGBoost

LightGBM

Random Forest

Descripción del empleo

About The Role:

We are looking for a highly skilled Data Scientist / Machine Learning Engineer with strong 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