Data Scientist- Demand Forecasting

Job Title: Data Scientist – Demand Forecasting

Location: Remote

Experience Required: 5+ Years

About the Role

MindBrain Innovations Pvt Ltd is seeking a skilled and driven Data Scientist – Demand Forecasting to join our advanced analytics team. This role is pivotal in developing accurate and scalable demand forecasting solutions to guide key business decisions across inventory planning, staffing, and financial forecasting.

The ideal candidate will combine technical proficiency in machine learning and time-series forecasting with strong communication and analytical problem-solving skills. You’ll collaborate with cross-functional teams to implement data science solutions that directly impact strategic planning and operations.

Key Responsibilities

• Develop and enhance time-series forecasting models using Python and SQL.
• Work with business stakeholders and software engineers to improve demand planning accuracy.
• Design, run, and analyze experiments to test improvements to current algorithms and forecasting strategies.
• Discover and integrate new data sources to improve model robustness and relevance.
• Translate complex model behavior into actionable business insights and clearly communicate underlying assumptions and limitations.
• Build and deploy scalable data pipelines that connect model development to production systems.
• Participate in cross-functional collaboration to ensure business users understand and trust forecast outputs.
• Stay current with industry trends and best practices to continually refine forecasting methodologies.

Required Qualifications

• Master’s degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Physics, or a related quantitative discipline.
• 5+ years of experience in data science, analytics, or a related field focused on statistical modeling and data extraction.
• Advanced programming skills in Python and strong proficiency in SQL.
• Experience with large-scale data processing tools (e.g., Hadoop, Hive, Scala).
• Deep knowledge of time-series forecasting techniques, multivariate algorithms, and model validation methods.
• Proficient in feature engineering, model tuning, and hyperparameter optimization.
• Ability to write clean, production-ready, and well-documented code.
• Strong communication skills to convey technical insights clearly to business and engineering teams.
• Experience building automated and production-grade data pipelines.
• Ability to work both independently and in a collaborative team environment.

Preferred Qualifications

• Experience working in supply chain or demand planning environments.
• Familiarity with data visualization tools and dashboarding.
• Knowledge of the Azure cloud platform and its data services.
• Hands-on experience in building and deploying APIs for model integration.
• Prior involvement in stakeholder engagement and influencing decision-making without direct authority.