Data Science Manager, Growth Alliance (f/m/x)

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

The Role

Are you ready to drive a huge business impact? As Data Science Manager for Search Optimisation, you will lead a team dedicated to maximizing the efficiency of our marketing investments. You will oversee the design of optimization algorithms and implementation measurement frameworks that directly steer our Paid Search ecosystem. In this role, you will take ownership of various data sources from internal conversion data to external ads platform data and translate them into production-grade data products. We are looking for a leader who thrives at the intersection of economic logic, data science and machine learning, translating complex business constraints into scalable data products that drive HelloFresh’s growth. 

What you'll do

• Lead and mentor a team of data scientists and machine learning engineers, fostering a culture of technical excellence and scientific curiosity.

• Ensure scientific rigor across the team by overseeing ML systems and pipelines as well as experimental design, causal inference methodologies, and the validation of optimization logic.

• Provide technical oversight through code reviews and architectural discussions, ensuring that ML pipelines are robust, explainable, and aligned with business goals.

• Drive innovation and explore opportunities to refine approaches using emerging techniques as the role evolves (e.g., pLTV, keyword mining, or reinforcement learning).

• Bridge the gap between complex DS concepts and marketing strategy, acting as a key partner to senior stakeholders in the Marketing and Product organizations.

• Foster a collaborative and knowledge-sharing environment that attracts and develops top talent

• Think out of the box to come up with new ways of how we can improve our data products we deliver to our stakeholders

  
  

What you'll bring

• Leadership Experience: 8+ years in Data Science / Machine Learning, with 3+ years in a people management role.

• People Management Skills: Track record of managing and developing high-performing data science teams, with a focus on mentoring technical talent and fostering a culture of continuous learning.

• Domain Expertise: 3+ years building/deploying ML systems in AdTech/MarTech, with a focus on marketing measurement or ad optimization.

• Subject Matter Expertise: Deep knowledge of MMM, attribution models, and causal inference.

• Optimization Specialisation: Strong background in mathematical optimization (e.g., constrained optimization, budget steering) and forecasting.

• Technical Literacy: Fluency in SQL/Python. You can navigate complex codebases and perform reviews (familiarity with scikit-learn, PyMC, or Statsmodels).

• Strategic Communication: Exceptional ability to influence senior leadership and translate complex technical concepts into clear business ROI.

• Mindset: You are a critical thinker and creative problem solver who strives for excellence.

Above all, we are looking for people who will make HelloFresh Group better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer 

• Health - You’re covered from your first day with  private health insurance.

• Flexible Working - We work in-office 3 days a week to align on goals, with flexible hours to support work-life balance and personal needs

• Time Off - You receive 26 days of paid vacation each year, providing you time to rest and recharge.

• Learning and Development - An annual Learning & Development budget and a Mentoring Program to support your ongoing professional growth.

• Employee Referral Program - Our team members can take part in our internal employee referral program and receive a bonus for recommending successful candidates to open roles.

• Daily Comforts - Free coffee, drinks, and fresh fruit are available to keep you refreshed throughout the day.