Data Scientist

About Blue Ridge Solutions, Inc

We are Blue Ridge, creators of the leading supply chain platform for distributors, retailers, and manufacturers. Our fast-growing and exciting SaaS supply chain planning platform provides cutting-edge supply chain solutions including forecasting and demand planning, replenishment, S&OP, rough-cut capacity planning, and pricing. Our software helps businesses gain control, improve forecasting precision, reduce costs, improve service levels, and increase profit.

About the Role

Blue Ridge is modernizing its demand forecasting capabilities through an enterprise-grade ML platform. We are seeking a highly skilled Senior Data Scientist / ML Engineer to design and operationalize advanced forecasting solutions at scale. This role blends hands-on machine learning with solid software engineering practices to deliver robust, scalable, and transparent forecasting capabilities.

Key Responsibilities

• Design, build, and deploy production-grade forecasting models
• Develop end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment
• Build probabilistic models to quantify forecast uncertainty
• Write clean, modular, object-oriented code following best practices
• Implement MLOps best practices including model versioning, monitoring, and CI/CD
• Work with distributed training frameworks for scalable model development
• Collaborate with cross-functional teams (engineering, product, strategy) to align solutions with business needs
• Work with cloud-based environments (e.g., Databricks, AWS, GCP) for large-scale data processing

Essential Skills & Qualifications

• 3–6 years of relevant experience in Data Science / ML Engineering
• Strong proficiency in Python and core libraries such as pandas, numpy, scikit-learn
• Hands-on experience with deep learning frameworks (preferably PyTorch)
• Experience with distributed training and large-scale datasets
• Proven ability to build scalable, production-grade ML pipelines
• Familiarity with MLOps practices (CI/CD, monitoring, retraining pipelines)
• Solid understanding of statistical modeling, regression, and time series
• Experience working in cloud environments (Databricks, AWS, GCP)
• Strong software engineering skills with a focus on clean, modular, object-oriented code
• Excellent problem-solving, communication, and collaboration skills

Desirable Skills (Nice to Have)

• Experience in demand forecasting or retail/supply chain
• Exposure to containerization (Docker, Kubernetes)
• Familiarity with data orchestration frameworks (Airflow, Prefect)
• Experience with explainable AI frameworks

Join us in building a modern, enterprise-grade forecasting platform to power the future of demand planning at Blue Ridge.

EXPERIENCE

3-6 Years

EMPLOYMENT TYPE

Remote/Hybrid

LOCATION

ICC Trade Tower, Shivaji Nagar, Pune, Remote