Senior Data Scientist, Growth

The Growth Tech Alliance's goal is to enable HelloFresh to drive smarter marketing through AI-powered automation, intelligent systems, and advanced optimization. We've pioneered cutting-edge approaches to programmatic campaign optimization using state-of-the-art AI/ML technologies and are now scaling these capabilities across our global marketing operations. Our team’s key responsibilities include designing, building, maintaining autonomous decision-making systems, advanced ML models for marketing optimization, and real-time intelligence that drives measurable business impact. We work at the intersection of modern AI architectures, deep statistical modelling, and enterprise-scale ML operations. S'more about the team As a Senior Data Scientist in AdTech, you will design, build, and deploy production-grade machine learning models that drive significant marketing ROI. You will provide critical expertise in advancing our intelligent marketing optimization systems, focusing on the entire ML lifecycle from data preprocessing and feature engineering to large-scale deployment and performance monitoring. By translating complex marketing challenges into robust production systems, you will ensure our AI-driven capabilities deliver measurable business impact and enhanced efficiency at a global scale Lettuce share what this role will be responsible for Develop, build, and iterate on advanced machine learning models across core adtech domains to optimize marketing performance and contribute to the orchestration of highly efficient marketing workflows. Design and implement ML models for Media Optimization, and contribute to their operationalization into high-impact production systems. Contribute to Creative Automation efforts by building and enhancing predictive AI models to guide our global production studios. Design and build ML models for Value Optimization to intelligently isolate high-value customers. Adhere to and contribute to the team's ML operations (MLOps) practices, focusing on experiment tracking, system observability, and model reliability in production. Rapidly prototype innovative machine learning solutions, including Gen AI-forward approaches, and integrate them into our existing, orchestrated multi-agent systems to enable complex autonomous workflows. Collaborate closely with Product, Engineering, and Marketing to identify high-impact programmatic automation opportunities and execute robust A/B testing and experimentation designs for models in high-noise environments. All other duties, as assigned Sound a-peeling? Here's what we're looking for MSc or equivalent experience in a quantitative discipline with proven experience building and deploying AI/ML systems from prototype to production at scale Expert proficiency in Python, PySpark, and SQL, hands-on experience with cloud environments (GCP, AWS, or Azure), and practical experience with modern machine learning frameworks such as HuggingFace, TensorFlow or similar. Expertise in applied machine learning relevant to AdTech, including predictive modeling, optimization algorithms, and modern LLM capabilities preferred. Proven experience tackling complex marketing data problems, such as algorithmic budget pacing, LTV prediction pipelines, or AI-driven media optimization systems. Strong foundation in statistical analysis and experimentation, with practical experience designing A/B tests to validate the incremental business impact of algorithmic systems Demonstrated ability to effectively communicate intricate analytical findings to diverse audiences, bridging the gap between deep technical implementation and core business KPIs Track record of building production ML systems with robust practices, demonstrating a bias for action and extreme ownership, treating the business outcomes of your algorithms with a true Founder Mentality Experience with programmatic advertising ecosystems, marketing analytics, and the operational aspects of running performance-critical ML models in high-traffic environments 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! 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. Toronto, ON Pay Range $140,000—$175,000 CAD

The Senior Data Scientist will design, build, and deploy production-grade machine learning models to optimize marketing performance and drive business impact. Responsibilities include managing the full ML lifecycle, from data preprocessing and feature engineering to large-scale deployment and MLOps practices.

Candidates must hold an MSc or equivalent in a quantitative discipline with proven experience building and deploying AI/ML systems at scale. Proficiency in Python, PySpark, SQL, and cloud environments is required, along with a strong foundation in statistical analysis and experimentation.

• Meal kit discounts • Health benefits • Dental benefits • Health spending account • Headspace app access • Fitness membership discount • Paid time off • Parental leave top-up • Career development • Employee resource groups

• SQLSouhaitée
• Apprentissage automatiqueSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• PySpark
• SQL
• Machine learning
• MLOps
• Predictive modeling
• Optimization algorithms
• LLM
• Statistical analysis
• A/B testing
• Data preprocessing
• Feature engineering
• Cloud computing
• Programmatic advertising
• Marketing analytics
• Generative AI
• Statistical Analysis
• Pipelines
• MLOps (Machine Learning Operations)
• Generative Artificial Intelligence
• Hugging Face (NLP Framework)
• Observability
• Workflow Management
• Data Preprocessing
• Technology Ecosystems
• Machine Learning Model Monitoring And Evaluation
• Advertising Technology
• A/B Testing
• Multi-Agent Systems
• Artificial Intelligence
• Applications Of Artificial Intelligence
• Algorithms
• Amazon Web Services
• Automation
• Microsoft Azure
• Business Continuity Planning
• Decision Making
• Forecasting
• Global Marketing
• Marketing
• Innovation
• Intelligent Systems
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Loan-To-Value Ratios
• Machine Learning
• Marketing Analytics
• Marketing Performance Measurement And Management
• Marketing Optimization
• Return On Marketing Investment

• Data & Analytics
• Technology
• Marketing
• Software
• Food & Beverage
• Data Scientist
• Systems Analysts
• Data Scientists

Formation minimale

Maîtrise

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

2 jours par semaine