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HelloFresh is looking to improve how they predict and plan customer demand across their US supply chain by building models that directly drive business-critical decisions from menu planning and procurement to fulfillment.

Requirements

• Skilled in Python and familiar with common machine learning and optimization techniques.
• Experienced in data manipulation and analytics within cloud-based ecosystems.
• Experience applying machine learning, forecasting, or statistical modeling in an applied business setting.
• Experience building tools/applications in a high-level language, such as Python or Java.
• Experience working with large, complex datasets using SQL and Python-based data ecosystems.
• Familiarity with operations and supply chain management concepts - forecasting, planning, optimization, logistics experience preferred.

Responsibilities

• Develop, prototype, and deploy forecasting models that capture complex demand patterns and constraints across multiple brands, products, and time horizons.
• Build scalable data pipelines leveraging Databricks, Snowflake, and AWS.
• Create mathematical optimization models and tools to solve practical business problems; roll them out.
• Explore and apply state-of-the-art machine learning and statistical techniques to improve forecast accuracy, quantify uncertainty, and enable better planning decisions.
• Translate complex scientific insights into scalable tools and strategies that enhance efficiency and reduce waste throughout the supply chain.
• Identify problems proactively, formulate and implement robust and data-driven solutions.
• Share best practices in modeling, and scientific rigor to elevate overall team technical excellence.

Other

• Partner closely with product, engineering, and operations teams to design, test, and deploy advanced forecasting and decision systems.
• Collaborate cross-functionally with procurement, planning, and operations teams to translate scientific work into measurable business outcomes.
• Mentor and support analysts, engineers, and scientists within the team.
• A hands-on problem solver with experience applying scientific methods to real-world operational challenges.
• Agile – you thrive in fast-paced and dynamic environments and are comfortable working autonomously
• Comfortable balancing scientific rigor with business pragmatism; able to communicate insights effectively to both technical and non-technical audiences.
• Detail-oriented – you possess strong organizational skills and consistently demonstrate a methodical approach to all your work.