Staff Data Scientist at HelloFresh

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

10 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architectures, Machine Learning, Optimization Theory, Software Engineering, MLOps, Programmatic Advertising, Marketing Analytics, Cloud-Native Architectures, Micro-Services, Technical Leadership, Statistical Modelling, Decision Making, Experiment Tracking, Model Governance, Performance Monitoring, Generative AI

Industry

Consumer Services

Description

Staff Data Scientist - Global AdTech, AI-Driven Media Optimization 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. The Role... We are hiring a Staff Data Scientist to take our AI capabilities to the next level by leading the evolution and scaling of our intelligent media optimization systems. You will provide technical leadership for our AI initiatives, architecting sophisticated multi-agent systems and ensuring robust ML model development for complex optimization challenges. As the dedicated technical leader for this domain, you will drive the maturation of our existing prototypes into production-grade systems while establishing best practices for ML operations and system observability. This role offers the opportunity to shape the future of how HelloFresh leverages AI for marketing optimization at unprecedented scale. What You'll Do... Scale and mature our AI-driven optimization capabilities by architecting production-grade multi-agent systems that orchestrate complex marketing workflows autonomously Advance our ML models for marketing optimization challenges including budget allocation, marginal efficiency modeling, and performance prediction, ensuring they meet the rigor required for billion-dollar decision making Establish comprehensive ML operations practices including experiment tracking, model versioning, and system observability to enable continuous improvement and reliable performance at scale Lead by example' by rapidly prototyping innovative machine learning solutions across diverse domains including customer value prediction, dynamic pricing optimization, generative AI applications, and emerging marketing intelligence use cases Define and evangelize best practices for AI system development, including agent design patterns, governance strategies, and quality assurance frameworks Drive the technical roadmap for evolving our AI capabilities from successful prototypes to enterprise-scale production systems with appropriate governance and monitoring Partner with marketing stakeholders to identify high-impact automation opportunities and translate business requirements into technical solutions that deliver measurable value What You'll Bring... PhD / MSc in a quantitative discipline with proven experience taking AI/ML systems from prototype to production at scale Deep expertise in modern AI architectures including agent-based systems, LLM orchestration, and advanced prompt engineering for complex autonomous workflows Strong foundation in optimization theory and algorithms, with practical experience applying these to real-world business problems in marketing, pricing, or resource allocation domains Demonstrated ability to effectively communicate intricate analytical findings to diverse audiences, including technical experts and senior leadership. Track record of building production ML systems with robust MLOps practices, including comprehensive experiment tracking, model governance, and performance monitoring Experience with programmatic advertising ecosystems, marketing analytics, and the ability to translate business KPIs into technical optimization objectives Expert-level software engineering skills with modern ML frameworks and the ability to build reliable, scalable systems that handle real-time decision making Experience with cloud-native architectures, micro-services, and the operational aspects of running ML systems in production Proven technical leadership with the ability to drive consensus on architectural decisions, establish technical standards, and elevate team capabilities through mentorship and knowledge sharing What You'll Get... 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

Responsibilities

The Staff Data Scientist will lead the evolution and scaling of intelligent media optimization systems, providing technical leadership for AI initiatives. Responsibilities include architecting multi-agent systems and ensuring robust ML model development for complex optimization challenges.