Senior Data Scientist - Bengaluru, Karnātaka, India
Sourceo5+ yrsBengaluruOn-siteDirect career pageEst. 14–28 LPA
Posted on 6 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy statistical, probabilistic forecasting, and machine learning models for demand, capacity, and trend analysis.
- Own the full model lifecycle including development, backtesting, deployment, monitoring, and retraining on Google Cloud Platform (GCP).
- Collaborate with cross-functional teams to generate actionable insights and support decision-making through data visualization and stakeholder communication.
Minimum Requirements
- 5+ years of experience in data science, applied statistics, or machine learning.
- Strong expertise in statistics, time series analysis, probabilistic forecasting, and machine learning (regression, boosting, neural networks).
- Proficiency in Python, SQL, ML libraries (pandas, NumPy, scikit-learn, statsmodels, PyTorch/TensorFlow), and experience with GCP.
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field.
Ideal Candidate Profile
- Experienced in owning and scaling production-ready forecasting and ML models with end-to-end responsibility including MLOps.
- Skilled in handling large, complex datasets and collaborating effectively with data engineering and cross-functional teams.
- Strong focus on deploying robust, interpretable forecasting solutions balancing accuracy and operational needs in a cloud environment.