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