HelloFresh

www.hellofresh.com

4 Jobs

16,372 Employees

About the Company

HelloFresh is on a mission to change the way people eat, forever!

From our 2011 founding in Europe’s vibrant tech hub Berlin, we’re evolving from the world’s leading meal kit company to the world's leading food solutions group. We delivered 243.3 million meals and reached 7.5 million active customers around the world in Q3 2022.

HelloFresh Group consists of six brands that provide customers with high quality food and recipes for different meal occasions. Every ingredient needed for our meals are carefully planned, responsibly sourced and delivered to your door when it’s most convenient for you. Only HelloFresh gives you the tools to achieve something delicious every day.

Making a meal a delicious achievement - not just fuel for your day - takes a lot of work and smart people. From Designers and Copywriters to Data Scientists and DevOps Engineers, to potato farmers, pasta makers and the people who ensure every box is perfectly packed for every customer, we’re collectively disrupting the food supply chain and the multi-trillion-dollar food tech industry.

Our more than 21,000 high-performing and ambitious employees across the globe from New York to Berlin, London to Sydney and Toronto to Milan enjoy a number of benefits including flexible working arrangements, discounts on our boxes, health and well-being and learning and development programs.

We’re always looking for quality ingredients to perfect our recipe, so join us now! https://www.hellofresh.com/careers/locations

Listed Jobs

Company Name: HelloFresh
Job Title: Supply Planner (12 Month Contract)
Job Description: **Job Title** Supply Planner (12‑Month Contract) **Role Summary** Plan, execute, and optimize inventory and replenishment for North American operations. Coordinate with sourcing, demand planning, procurement, and other stakeholders to ensure product availability, minimize stock‑outs, and improve supply‑chain performance through data‑driven analysis and cross‑functional collaboration. **Expectations** - Manage inventory levels and create replenishment plans aligned with weekly operational cycles. - Share short‑term purchasing/manufacturing forecasts with suppliers. - Establish and monitor supply‑planning KPIs (inventory position, stock‑outs, waste, capacity). - Analyze performance metrics, identify improvement opportunities, and lead ad‑hoc projects. - Support new product launches, category strategy, and offboarding of excess/obsolete items. - Maintain accuracy in supply‑planning tools and data flow. - Contribute to budget planning for storage and transportation. **Key Responsibilities** - Prepare national replenishment plans for assigned products. - Define inventory strategy and planning parameters (target levels, storage). - Report on KPIs and analyze supply‑chain performance. - Collaborate with Purchasing to assess risks and develop corrective actions. - Work with Strategic Sourcing and Demand Team on new launches and category plans. - Coordinate with Menu Planning & Inventory team to reduce excess inventory. - Ensure correctness of supply‑planning tools and data integrity. - Provide input on storage/transportation requirements for DCs and 3rd‑party warehouses. - Execute ad‑hoc process‑improvement projects. **Required Skills** - 2–5 years in supply chain, operations, or inventory management. - Strong analytical abilities; proficient with large datasets in Google Sheets/Excel. - Ability to manage multiple projects, prioritize, and meet deadlines. - Independent ownership mindset with the capacity to work autonomously. - Excellent interpersonal and communication skills; proven team player. - Basic statistical understanding (normal distribution, standard deviation) preferred. **Required Education & Certifications** - Bachelor’s degree or equivalent in Business, Supply Chain, or related field. - ASCM certification (CSCP, CPIM) or active pursuit is a plus. - Experience with database tools (SQL, Python, Tableau) is an asset. - Prior exposure to the food industry or related category is an advantage.

Company Name: HelloFresh
Job Title: Customer Care Operations Intern (M/F/X)
Job Description: **Job Title**: Customer Care Operations Intern **Role Summary**: Support customer service operations and drive continuous improvement initiatives to enhance customer experience for a French foodtech scale-up. Focus on operational support, process optimization, and data-driven insights. **Expectations**: - Pursuing a top engineering or business school degree with a focus on operations or customer experience. - Analytical mindset and problem-solving skills. - Bilingual in French and English (oral/written). - Familiarity with Excel/Google Sheets; SQL, Tableau, or Jira/GitHub advantageous. **Key Responsibilities**: - Assist with daily customer care tasks (case tracking, incident resolution, reporting). - Streamline workflows via Lean Management, automation, and process simplification. - Identify customer experience friction points through data analysis and recommend solutions. - Collaborate on tool development for operational performance monitoring. - Participate in improvement workshops and implement optimization strategies. **Required Skills**: - Analytical thinking and structured problem-solving. - Customer-centric approach with strong interpersonal skills. - Organizational agility in fast-paced environments. - Proficiency in data analysis tools (Excel/Google Sheets required; SQL/a data visualization tools preferred). **Required Education & Certifications**: - Enrolled in or graduate of a top-tier engineering or business program. - No certifications specified.

Company Name: HelloFresh
Job Title: Staff Data Scientist
Job Description: Job title: Staff Data Scientist Role Summary: Lead the design, scaling, and production of AI‑driven media optimization systems for global marketing operations. Deliver technical leadership on multi‑agent architectures, advanced ML models, and MLOps best practices to drive autonomous decision‑making and measurable business impact. Expectations: - Transition prototypes to production‑grade autonomous systems at enterprise scale. - Set and enforce technical standards, governance, and observability for AI solutions. - Communicate complex analytics to technical teams and senior leadership effectively. - Mentor and elevate team capabilities in AI/ML engineering. Key Responsibilities: - Architect and scale multi‑agent systems that orchestrate marketing workflows and autonomous decision‑making. - Develop robust ML models for optimization tasks (budget allocation, marginal efficiency, performance prediction). - Establish MLOps practices: experiment tracking, model versioning, monitoring, and governance. - Prototype innovative solutions in customer value prediction, dynamic pricing, generative AI, and marketing intelligence use cases. - Define and evangelize agent design patterns, governance strategies, and quality assurance frameworks. - Chart the technical roadmap from prototype to production, ensuring reliability and scalability. - Partner with marketing stakeholders to identify high‑impact automation opportunities and translate requirements into technical deliverables. Required Skills: - PhD or MSc in quantitative field with proven experience scaling AI/ML systems to production at large scale. - Expertise in modern AI architectures (agent‑based systems, LLM orchestration, prompt engineering). - Strong foundation in optimization theory and real‑world business application (pricing, marketing budgets, resource allocation). - Proficiency in MLOps tools (experiment tracking, model governance, performance monitoring). - Experience with programmatic advertising ecosystems and marketing analytics. - Advanced software engineering skills in ML frameworks, cloud‑native, micro‑services, and real‑time decision systems. - Demonstrated leadership in architectural decision‑making, consensus building, and knowledge sharing. Required Education & Certifications: - PhD or MSc in Quantitative Science (e.g., Computer Science, Statistics, Applied Mathematics, Economics). - Relevant certifications in ML Engineering or MLOps preferred (e.g., TensorFlow Practitioner, AWS Certified Machine Learning).

Toronto, Canada

Hybrid

26-12-2025

Company Name: HelloFresh
Job Title: Data Analyst
Job Description: **Job Title** Data Analyst **Role Summary** Provide actionable marketing insights by building, maintaining, and optimizing self‑service analytics tools and dashboards. Work closely with marketing and data teams to design forecasting models, integrate disparate data sources, and support user adoption of analytics platforms. **Expectations** - Deliver reliable, high‑quality analytics solutions within agreed timelines. - Serve as a liaison between technical data teams and non‑technical stakeholders, ensuring clear communication of metrics and findings. - Champion data literacy by onboarding, training, and supporting users of varying expertise. **Key Responsibilities** - Own and maintain self‑service analytics environments (access, documentation, best practices). - Coordinate user onboarding and drive adoption of analytics platforms. - Combine data from multiple sources to create unified, analytics‑ready datasets. - Design, build, and support forecasting and budgeting models for marketing performance. - Redesign dashboards and reports to improve clarity, usability, and insight delivery. - Conduct user acceptance testing for new tools, dashboards, and data products. - Partner with marketing stakeholders to translate requirements into analytical solutions. - Present analyses, dashboards, and recommendations to non‑technical and senior audiences. **Required Skills** - Advanced SQL and experience with BI/self‑service tools (Tableau, Looker, Power BI, etc.). - Strong understanding of marketing analytics concepts (performance measurement, ROI, budget tracking, campaign analysis). - Data storytelling and communication skills for non‑technical audiences. - Familiarity with forecasting and analytical modeling for marketing performance or budgeting. - Working knowledge of data warehouses (BigQuery, Snowflake, Databricks, or similar). - Proficiency in Python for analysis or modeling is a plus. **Required Education & Certifications** - Bachelor’s degree in Data Science, Analytics, Statistics, Computer Science, or related field (or equivalent experience). - Relevant certifications (e.g., Tableau Desktop Specialist, Power BI Certified, SQL certifications) are advantageous.

Toronto, Canada

Hybrid

08-01-2026