Senior Data Scientist, Customer Value Forecasting

S'more about the team

We are hiring a Senior Data Scientist in our Customer Value Forecasting Squad inside the Customer Value Optimization Tribe to help build scalable machine learning models and predictive frameworks that drive value forecasting products at HelloFresh. As a Senior Data Scientist, your work will be pivotal in enabling our team to derive actionable insights, develop production-grade predictive models, and advance our customer valuation capabilities. Additionally, you will master the design and development of robust machine learning solutions capable of processing massive datasets and supporting critical business workflows.

Lettuce share what this role will be responsible for

• Collaborate with engineers and product managers in a cross-functional team to improve HelloFresh’s customer value forecasting accuracy and efficiency.
• Take ownership of the end-to-end machine learning lifecycle, including research, feature formulation, model development, validation, and monitoring for production-level inference.
• Mentor junior team members and promote best practices in statistical modeling, experiment design, and data science methodology across the team.
• Stay up-to-date on the latest advancements in data science and machine learning. Propose and implement methodological improvements or advanced algorithms to enhance predictive modeling accuracy and team efficiency.
• Design and refine predictive frameworks to determine optimal personalized recommendations and sequential customer interventions in real-time.
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• A passion for solving complex business problems with advanced machine learning and statistical modeling within a fast-paced environment. Experience with customer lifetime value modeling or personalization is a plus.
• Strong programming skills in Python and SQL, with expertise in data science libraries (e.g., pandas, NumPy, scikit-learn) and ML frameworks (e.g., CatBoost, LightGBM, PyTorch/TensorFlow). Experience processing large-scale data and working with Spark is a plus.
• Hands-on experience designing, training, evaluating, and deploying large-scale predictive models and machine learning pipelines for production use cases.
• Pick up new technologies and modeling methodologies quickly while solving actual business problems.
• Interest in working with modern data science tooling such as cloud platforms, MLOps platforms, experimentation tools, version control, and model monitoring frameworks.
• Ability to communicate complex technical findings to both technical and non-technical stakeholders.
• An AI-native mindset, continuously leveraging generative AI tools and workflows to enhance productivity, code quality, and problem-solving efficiency.

Let’s cut to the cheese, this is why you'll love it here

• 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!
• RRSP Matching - Competitive RRSP matching program offered
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good 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 are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.