Senior Data Scientist (hybrid/remote)

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