Data Scientist

Rwindia; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Rwindia is seeking a Data Scientist to build, validate, and deploy statistical and machine learning models across forecasting, customer analytics, and market modelling. You will collaborate with clients and cross-functional teams to translate business needs into robust models.

The role requires strong experience in market mix and Bayesian modeling, time-series forecasting, and deploying ML models, with hands-on experience in PyTorch/TensorFlow/Keras.

Qualifications

• Experience in Market Mix Modeling and Bayesian Modeling.
• Proficient with supervised/unsupervised and reinforcement learning.
• Strong time-series forecasting and modeling capabilities.
• Experience in churn and propensity modeling.
• Hands-on with ML frameworks such as PyTorch/TensorFlow/Keras.
• Experience in model training, validation and deployment.
• Strong client-facing experience.

Responsibilities

• Develop Market Mix Models and Bayesian models.
• Build supervised, unsupervised, and reinforcement learning models.
• Perform time-series analysis and forecasting.
• Develop churn and propensity models.
• Work on sales and inventory forecasting.
• Train, validate, and deploy ML models.
• Collaborate closely with clients and cross-functional teams.

Skills

Market Mix Modeling

Bayesian Modeling

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Time Series Forecasting

Churn Modeling

Propensity Modeling

PyTorch

TensorFlow

Keras

TorchServe

Model Deployment

Client-facing

Education

BE/BTech in any stream

Tools

PyTorch

Keras

TensorFlow

TorchServe

Job description

Job Summary

Data Scientist responsible for building, validating, and deploying statistical and machine learning models across forecasting, customer analytics, and market modelling.

Key Responsibilities

• Develop Market Mix Models and Bayesian models.
• Build supervised, unsupervised, and reinforcement learning models.
• Perform time-series analysis and forecasting.
• Develop churn and propensity models.
• Work on sales and inventory forecasting.
• Train, validate, and deploy ML models.
• Collaborate closely with clients and cross-functional teams.

Required Skills & Experience

• Strong experience in Market Mix Modeling & Bayesian Modeling.
• Supervised/Unsupervised Learning and Reinforcement Learning.
• Time Series & Forecasting.
• Churn and Propensity Modeling.
• PyTorch/Keras/TensorFlow/TorchServe.
• Model training, validation, and deployment.
• Strong client-facing experience.

Preferred Qualifications

• BE/BTech in any stream

Other Requirements

• Excellent communication and conversational intelligence.
• Comfortable working with onshore/offshore cross-functional teams.
• Immediate interview availability and prompt responses.