Senior Data Scientist- Demand Forecasting (6+ Years)

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About the Role

Data Scientist – Demand 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.