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Hello Fresh

Meal-kit delivery service with subscriptions

Senior Data Scientist - Customer Value Forecasting

Applied Machine LearningPosted on Nov 11
Full-timeToronto, ON, CanadaCA$170k - CA$200k

About the Job

Requirements

  • Strong programming skills in Python and SQL, including expertise with data science libraries such as pandas, NumPy, and scikit-learn, and machine-learning frameworks such as CatBoost, LightGBM, PyTorch, or TensorFlow.
  • Hands-on experience designing, training, evaluating, and deploying large-scale predictive models and machine-learning pipelines for production use cases.
  • Ability to quickly learn new technologies and modeling methodologies and apply them to business problems.
  • Interest in modern data science tooling, including cloud platforms, MLOps platforms, experimentation tools, version control, and model-monitoring frameworks.
  • Ability to communicate complex technical findings to technical and non-technical stakeholders.
  • Ability and inclination to leverage generative AI tools and workflows to improve productivity, code quality, and problem-solving efficiency.

Responsibilities

  • Collaborate with engineers and product managers in a cross-functional team to improve customer value forecasting accuracy and efficiency.
  • Own 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 current with data science and machine-learning advancements, and propose and implement methodological improvements or advanced algorithms to improve predictive-model accuracy and team efficiency.
  • Design and refine predictive frameworks to determine optimal personalized recommendations and sequential customer interventions in real time.
  • Perform other duties as assigned.

Desired Qualifications

  • Experience with customer lifetime value modeling or personalization.
  • Experience processing large-scale data and working with Spark.

About the Company

Hello Fresh

Meal-kit delivery service with subscriptions

HelloFresh provides meal kits that deliver fresh, pre-portioned ingredients and chef-curated recipes to customers’ doors through a subscription service. Customers choose from a weekly menu of meals and dietary options (vegetarian, low-calorie, family-friendly), select their delivery day, and receive ingredients and step-by-step instructions to cook at home. The service eliminates meal planning and grocery shopping and can be flexibly managed—subscribers can skip weeks or cancel anytime. The company differentiates itself with a broad, customizable menu, focus on fresh produce and sustainable sourcing, and convenience for busy households. Its goal is to make home cooking easy, healthy, and accessible while providing flexible, affordable meal options.

Company size
10,001+
Company stage
IPO
Headquarters
Berlin, Germany
Founded
2011

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