Senior Data Scientist

Overview

Senior Data Scientist responsible for designing and deploying statistical, forecasting, and machine learning solutions to solve complex business problems.

What you'll do

• Build and deploy statistical and probabilistic forecasting models for demand, capacity, and trends.
• Apply time-series methods including regression-based models, ARIMA/SARIMA, and state-space models.
• Develop machine learning models for forecasting and prediction, including regression, tree-based models, gradient boosting, and neural networks.
• Own the model lifecycle: development, backtesting, deployment, monitoring, and retraining.
• Perform exploratory data analysis, feature engineering, and hypothesis testing on large datasets.
• Create visualizations and translate model results into actionable insights.

What you'll need

• 5+ years of experience in data science, applied statistics, or machine learning.
• Strong statistics foundation and experience applying statistical methods in production.
• Proven experience with time series analysis and probabilistic forecasting.
• Hands-on experience with ML models such as regression, boosting, and neural networks.
• Experience owning production data science models, including deployment and monitoring.
• Experience using SQL and Python; proficiency in Python and DS/ML libraries (pandas, NumPy, scikit-learn, statsmodels, PyTorch/TensorFlow).

Details

• Location: Bangalore Office BLS2.