Senior Data Scientist, Growth

About the role

The Growth Alliance powers the marketing engine at HelloFresh, managing everything from media investment to customer conversion. As a Senior Data Scientist, you will design and deploy statistical and machine learning models that translate data from experiments and customer behavior into actionable business decisions. You will work within cross-functional teams to ship production-ready models that optimize marketing spend and personalize customer touchpoints.

Responsibilities

• Design, build, and take ownership of statistical and machine learning models, from data collection through to production, closely aligning the approach with non-technical stakeholders.
• Collaborate within cross-functional teams to translate business objectives into concrete, data-driven strategies.
• Design tests, define success metrics and guardrails, and interpret results while accounting for statistical uncertainty, noise, and bias.
• Continuously iterate and refine your technical approach, monitor model performance, data reliability, and drift once in production.
• Retrieve, manipulate, and analyze large, heterogeneous datasets, and build the data pipelines your models depend on.
• Think beyond the immediate ask to find new ways to improve the data products delivered to stakeholders.
• Support and coach more junior data scientists.

Required skills

• Python
• NumPy
• Pandas
• Scikit-learn
• Matplotlib
• SQL
• Git
• Docker
• AWS
• Statistical modeling
• Machine learning
• Marketing analytics

Nice to have

• Databricks
• Spark
• Media mix modeling
• Attribution modeling
• Bayesian forecasting
• Reinforcement learning
• Contextual bandits

Qualifications

• Bachelor’s, Master’s, or PhD in statistics, physics, economics, mathematics, data science, or a related quantitative field

About the Company

HelloFresh is a global company supporting over 6 million customers with complex supply chain operations. HelloTech operates in an autonomous, product-led setup with a culture of active knowledge sharing.