HelloFresh

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

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

Company Name

HelloFresh

Job Title

Data Analyst, Growth

Job Description

**Job Title:** Data Analyst, Growth **Role Summary:** Deliver data-driven solutions to enhance marketing performance through analytical tools and insights. Collaborate with cross-functional teams on dashboard development, forecasting, and user support. **Expectations:** Own self-service analytics tools; build forecasting models for marketing spend and performance; optimize dashboards for usability; integrate multi-source data; translate stakeholder requirements into actionable insights. **Key Responsibilities:** Maintain analytics platforms; onboard and train users; design/validate analytics workflows; execute user acceptance testing; present insights to non-technical audiences; bridge data teams and business stakeholders. **Required Skills:** Advanced SQL; BI tool expertise (Tableau/Power BI/Looker); marketing analytics knowledge (ROI, budgeting); data storytelling; forecasting/modeling capabilities; familiarity with data warehouses (BigQuery/Snowflake). **Required Education & Certifications:** Bachelor’s degree in analytical field or related experience.

Toronto, Canada

Hybrid

19-02-2026

Company Name

HelloFresh

Job Title

Senior Software Engineer, Operations

Job Description

**Job Title:** Senior Software Engineer, Operations **Role Summary:** Design, develop, and maintain the Python‑based algorithmic engine and FastAPI backend that automate production planning. Drive end‑to‑end delivery across architecture, deployment, and operations in an AWS‑native environment, support internal React applications, and evolve the platform toward event‑driven architectures. **Expectations:** - Own and enhance the planning algorithmic engine (deterministic and constraint‑based). - Deliver scalable, reliable backend services and APIs. - Operate across the full technology stack from design to production monitoring. - Collaborate with engineers, analysts, and planners to translate domain knowledge into code. - Contribute to event‑driven system evolution (e.g., Kafka). - Ensure high reliability through automated testing, performance tuning, and robust design. - Mentor peers through pairing, design discussions, and knowledge sharing. **Key Responsibilities:** - Build and co‑own the Python algorithmic engine for automated planning. - Develop and maintain FastAPI services interfacing with internal applications. - Manage infrastructure using AWS services (EKS, RDS, S3, ElastiCache, Glue) and container orchestration. - Integrate backend with internal React front‑end, ensuring seamless data flow. - Implement event‑driven patterns and messaging via Kafka. - Write unit, integration, and performance tests; monitor and improve system performance. - Participate in code reviews, design workshops, and architecture decisions. **Required Skills:** - Strong Python development, including algorithmic/constraint programming. - Experience with FastAPI or similar modern web frameworks. - Proficiency with AWS ecosystem (EKS, RDS, S3, ElastiCache, Glue). - Knowledge of containerization (Docker) and orchestration (Kubernetes). - Familiarity with event streaming platforms, preferably Kafka. - Understanding of CI/CD pipelines and automated testing frameworks. - Basic front‑end knowledge (React) for API integration. - Excellent problem‑solving, communication, and teamwork abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred but not required). - Relevant certifications (e.g., AWS Certified Solutions Architect) are a plus.

Toronto, Canada

Hybrid

Senior

04-03-2026