Data Scientist - Data Modeling/analytics

Overview

Senior Associate Data Scientist role focused on developing and deploying advanced machine learning models for forecasting and decision support.

What you'll do

• Analyze large, complex datasets using statistical modeling, forecasting, and analytics to generate insights for decision-making.
• Develop simulation and scenario-analysis capabilities to better understand data.
• Contribute across the modeling lifecycle from problem framing and EDA to feature engineering, model development, validation, deployment support, monitoring, and explainability.
• Collaborate with senior team members to evaluate and apply new forecasting, data science, and AI tools and methodologies.
• Communicate analytical findings and model results to technical and non-technical stakeholders.
• Ensure models are trained with the latest data and meet SLA expectations.

What you'll need

• 4–7 years of Information Systems experience (minimum 4 years, maximum 7 years stated).
• Master’s or Bachelor’s degree in computer science, statistics, or STEM majors.
• Strong Python and SQL skills for data analysis, statistical modeling, and automation.
• Hands-on experience with machine learning, predictive analytics, and forecasting models.
• Knowledge of statistics, including hypothesis testing and descriptive statistics.
• Experience across the end-to-end model lifecycle including deployment support, monitoring, and explainability.
• Familiarity with MLOps practices including model pipelines, versioning, retraining, and performance monitoring.

Details

• Location: India, Hyderabad.