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 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.
- 3+ years of experience applying machine learning, forecasting, or statistical modeling in an applied business setting.
- 2+ years of experience building tools/applications in a high-level language, such as Python or Java.
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.
