Are you passionate about food? Do you consider yourself an expert and enthusiast in developing and deploying large‑scale recommender systems? If so, this Senior Data Scientist position focused on menu personalization may be the perfect fit for you. You will join a high‑impact team of data scientists and work closely with personalization, data, backend, and machine learning engineers to deliver statistical solutions and ML models to production, ensuring customers always see the most relevant and appealing menu options. What you’ll do Join and become an integral part of a high‑impact team covering menu personalization. Contribute to designing and implementing the next generation of our recommender models, from experimentation and data collection to operationalization and closely aligning them with non‑technical stakeholders. Shape and transform the future of customer experience at HelloFresh by proposing new personalization approaches and evolving the statistical and ML models in pace with future company strategies. Design and execute A/B tests to measure the impact of new recommendation strategies on key metrics. Work with state‑of‑the‑art technologies like AWS (EMR, Glue, S3, etc), Kafka, PySpark, Airflow, Databricks, MLFlow, Claude (AI), as well as our in‑house MLOps tools. Collaborate closely within other functions (data engineering, backend engineering, ML engineering, product) to translate business objectives into concrete, data‑driven personalization strategies. Analyze the performance of our models to understand customer behavior, and come up with improvements. Contribute to a collaborative and knowledge‑sharing environment. What you’ll bring Proven track record of scientific work in your Bachelor's, Master's, or PhD in computer science, statistics, physics, economics, mathematics, data science or similar. Long‑term (3+ years) work experience as a (senior) data scientist focused on developing and deploying recommender systems or personalized ML models in a production environment. In‑depth knowledge of various recommendation algorithms, evaluation metrics, and the practical challenges of building and maintaining a modern recommender system. Fluency and long‑term experience in Python, including high familiarity with its scientific stack such as Numpy, Pandas, Scikit‑learn, Matplotlib. (Experience in Databricks and PySpark is a plus). Ability to retrieve (using SQL), manipulate, and analyse large, heterogeneous datasets.Experience with software development practices and tools (Git, CI/CD, Docker, AWS). You love to learn, are a critical thinker and creative problem solver who strives for excellence. You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment. Exceptional communication and collaboration capabilities. Experience working with and leveraging Generative AI tools (e.g., Claude, Copilot) to support model development, experimentation, code generation, and documentation. Benefits Box Discount – Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits and 50% off weekly Factor meal box. Health & Wellness – Health & dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self‑care needs, and 25% discount on GoodLife fitness memberships! Vacation & PTO – Time off is also an important part of self‑care! We offer generous vacation and PTO to help you create a healthy work‑life balance. Family Benefits – A parental leave top‑up program for expectant parents. Growth & Development – We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team. Work Hard & Have Fun – From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun! Diversity & Inclusion Initiatives – With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts. Food Puns – this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names! Flexible Hybrid Approach At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. To meet these needs, we provide Flexible Hybrid work. It is a people‑first approach based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and from home, in addition to team days and company days. This means a minimum of 2 days in the office per week, with most teams in office between 2‑3 days a week. Location: Toronto, ON Pay Range: $140,000—$170,000 CAD #J-18808-Ljbffr