Senior Data Scientist

Experience : 5–8 years Location : Flexible (Hybrid / Remote) Department : Data Science Type : Full-Time About the Role Blue Ridge is building the next generation of demand forecasting systems powered by advanced machine learning and deep learning. We are looking for a Senior Data Scientist who thrives at the intersection of applied research, software craftsmanship, and real-world impact. You will work on complex modeling problems involving large-scale, high-dimensional business data. The ideal candidate has strong statistical foundations, hands-on experience with PyTorch, and a desire to build robust and explainable models that scale to production. Strong programming skills and exposure to distributed environments are expected. Key Responsibilities Design, build, and validate machine learning and deep learning models for structured business data Explore large datasets, engineer meaningful features, and identify key drivers of behavior Work with distributed training frameworks for scalable model development Analyze model behavior, iterate to improve performance, and ensure generalizability Build clear, testable, and modular model code with strong attention to reproducibility Deploy models into production environments, enabling real-time or batch inference workflows Collaborate with cross-functional teams (Engineering, Product, Strategy) to align solutions with business priorities Work in cloud-based environments (e.g., Databricks, AWS, GCP) to scale training, experimentation, and deployment Essential Skills & Qualifications 5–8 years of experience in Data Science or Applied Machine Learning Strong background in statistics, supervised learning, and applied deep learning Mandatory hands-on experience with PyTorch for model development Strong programming fundamentals with ability to write clean, modular, testable code Experience with distributed training and large-scale datasets Experience working in cloud environments such as Databricks, AWS, or GCP Ability to build and maintain ML pipelines from data ingestion through to deployment Desirable Skills (Bonus) Familiarity with MLOps workflows (CI/CD, model monitoring, retraining pipelines) Exposure to data orchestration tools (Airflow, Prefect) Experience with containerization and deployment concepts (Docker, APIs, etc.) Domain knowledge in retail, e-commerce, or supply chain forecasting Why Join Us At Blue Ridge, you will be part of a collaborative team building a modern forecasting engine designed for flexibility, explainability, and scale. You will work on real problems that drive value for global retailers and manufacturers, using cutting-edge tools and ideas. If you are passionate about solving hard problems with elegant models and scalable systems, we would love to hear from you. EXPERIENCE 3 - 6 Years EMPLOYMENT TYPE Remote/Hybrid LOCATION ICC Trade Tower, Shivaji Nagar, Pune