Senior Data Scientist, Growth

About the Growth Tech Alliance Team

The Growth Tech Alliance at HelloFresh focuses on empowering smarter marketing through AI-driven automation, intelligent systems, and advanced optimization techniques. We have led the development of innovative programmatic campaign optimization methods, applying the latest AI and machine learning technologies, and are expanding these capabilities globally. Our team specializes in creating and maintaining autonomous decision-making systems, complex machine learning models tailored for marketing performance, and real-time analytics that generate clear business improvements. We operate at the intersection of cutting-edge AI architectures, in-depth statistical modelling, and enterprise-scale machine learning operations.

Role Overview

As a Senior Data Scientist working within AdTech, your primary mission will be to construct and deploy production-ready machine learning models that significantly enhance marketing return on investment. You will lead efforts in evolving intelligent marketing optimization platforms, managing every phase of the ML lifecycle—from initial data preparation and feature engineering to scalable deployment and ongoing performance evaluation. Transforming intricate marketing challenges into reliable, productionalized AI solutions will be central to ensuring measurable global impact and operational efficiency.

Core Responsibilities

• Develop and refine advanced machine learning models across critical advertising technology areas to boost marketing efficacy and support the orchestration of efficient marketing workflows.
• Create ML models for Media Optimization and aid in integrating these solutions into impactful, production-level systems.
• Support Creative Automation initiatives by designing and improving AI predictive models that aid global content production teams.
• Develop models focused on Value Optimization to strategically identify and target high-value customer segments.
• Participate actively in the team’s MLOps practices, emphasizing experiment tracking, comprehensive system observability, and reliability of deployed models.
• Quickly prototype cutting-edge machine learning innovations, including those centered on generative AI, and incorporate them into existing orchestrated multi-agent frameworks to enable sophisticated autonomous workflows.
• Collaborate with cross-functional teams including Product, Engineering, and Marketing to spot promising programmatic automation opportunities and implement rigorous A/B testing and experimentation in noisy data environments.
• Perform other duties as assigned to support team objectives.

Required Qualifications and Skills

• Master’s degree or equivalent experience in a quantitative field, demonstrating significant expertise designing, building, and scaling AI/ML systems from prototypes to production.
• Advanced proficiency in Python, PySpark, and SQL; practical experience with cloud platforms such as GCP, AWS, or Azure; and familiarity with modern ML frameworks like HuggingFace or TensorFlow.
• Extensive applied machine learning knowledge relevant to advertising technology, including predictive modeling, optimization algorithms, and familiarity with large language model capabilities is highly desirable.
• Proven track record in solving complex marketing data challenges, including algorithmic budget pacing, lifetime value prediction pipelines, or AI-based media optimization architectures.
• Strong background in statistical methods and experimental design with hands-on experience creating and analyzing A/B tests to measure algorithmic business impact.
• Excellent communication skills to translate complex analytical insights to diverse stakeholders, effectively linking technical results to key business metrics.
• Demonstrated ownership and accountability in delivering robust, production-ready ML models, showing a founder’s mindset focused on business results.
• Experience working within programmatic advertising ecosystems, marketing analytics environments, and managing performance-sensitive ML models operating at scale.

Employee Benefits and Culture

• Exclusive discounts on HelloFresh meal kits: receive 75% off one box weekly for HelloFresh and Chefs Plate and 50% off on Factor meal kits.
• Health and wellness benefits starting from day one, including health and dental coverage, access to a Health Spending Account, unlimited use of the Headspace app, and 25% off GoodLife fitness memberships.
• Generous paid time off and vacation policies to support a balanced work-life integration.
• Parental leave top-up benefits to aid expectant parents during family expansions.
• Opportunities for career growth and continuous learning through dedicated learning and development initiatives.
• Engaging social events and company-wide days to foster team bonding and fun.
• Strong commitment to diversity, equity, and inclusion with active Employee Resource Groups such as FreshPride, Women Empowered, and LIMES.
• Playful work environment featuring creative food-related puns and whimsical meeting room names.

Work Arrangement

HelloFresh embraces a Flexible Hybrid work model to empower employees to balance professional and personal needs. This approach offers remote work flexibility alongside opportunities for in-person collaboration, expecting a minimum average of two days in-office per week, generally between two to three days depending on team alignment.

Additional Information

This role uses AI-enhanced technologies to assist in application review, ensuring efficient candidate evaluation. While automated tools screen candidates, final hiring decisions rest with the human recruitment team.

This is an active recruitment for an open position based in Toronto, Ontario.

Salary Range: CAD 150,000 to 190,000 annually.