The Data Scientist is responsible for building, testing, and deploying statistical and machine learning models, and conducting deep analytical data dives to drive better understanding of our customers, products, and operations. Reporting to the Manager of Data Operations, this role will design and develop scalable data science solutions to solve complex problems across the business and advance our data capabilities.Position : 15‑Month ContractResponsibilitiesCollaborate with data engineers, business intelligence analysts, automation specialists, and other stakeholders to deliver best‑in‑class data science and machine learning solutions.Lead the design, build, and deployment of data products, including statistical and machine learning models, data deep dives, and statistical testing/analyses for stakeholder groups across various applications.Develop project plans based on large‑scale stakeholder requirements and provide updates to data team peers and stakeholders on delivery.Maintain up‑to‑date knowledge of machine learning and deep learning algorithms, AI tools, and their potential applications, recommending evaluation and testing where relevant.Liaise with global data science teams to identify collaboration opportunities, support code reviews, and adopt new tools and techniques.Contribute to the development and implementation of the global ML Ops platform in Canada.Perform all other duties as assigned.Qualifications2‑3 years of experience in data science, data engineering, or related data disciplines.Experience identifying business opportunities for data science and ML solutions, scoping and prioritizing projects, and resourcing with appropriate skills.Strong grasp of advanced statistical concepts (e.G., Bayesian statistics, multilevel and generalized linear models, time series, bootstrapping) and data science methodologies (e.G., NLP/LLM, quasi‑experimentation,



A/B testing).Intermediate Python programming skills.Advanced SQL querying proficiency.Understanding of data visualization best practices and proficiency with BI platforms (Tableau preferred).Strong analytical and problem‑solving skills.Ability to communicate complex concepts and analyses to both technical and non‑technical stakeholders.Bachelor’s degree in STEM, Economics, or Business (preferred) or equivalent work experience.BenefitsBox Discount – 75% off weekly HelloFresh and Chefs Plate meal kits, 50% off weekly Factor meal box.Health & Wellness – Health & dental benefits from day 1, Health Spending Account, unlimited access to Headspace, 25% discount on GoodLife fitness memberships.Vacation & PTO – Generous vacation and paid time off to support work‑life balance.Family Perks – Parental leave top‑up program for expectant parents.Growth & Development – Career progression support, development opportunities, and L&D; fund investment.Work Hard & Have Fun – Team socials and engaging company days.Diversity & Inclusion – Commitment to diversity, equity, and inclusion through ERGs such as FreshPride, Women Empowered, and LIMES.Food Puns – Punny meeting room names and a lighthearted culture.Flexible Hybrid ApproachAt HelloFresh, flexible work arrangements enable employees to do their best work while balancing personal life. We offer remote work flexibility along with the opportunity to collaborate in the office. The approach requires a minimum of 2 days in office per week, with most teams working from the office 2–3 days a week.Working ConditionsAs a food company, we handle ingredients that may be allergens (e.G., peanuts, tree nuts, milk). Whether based at headquarters or a distribution center, you may be exposed to these allergens. If you have concerns about exposure, please disclose them during the hiring process.Application Process: HelloFresh Canada uses AI‑integrated technology to assess candidate qualifications. All final selection decisions are made by our hiring team. This posting is an active vacancy we are seeking to fill.Location : Toronto, ON |Pay Range : $90,000—$100,000 CAD#J-18808-Ljbffr

📌 Data Scientist - C$90,000 - C$100,000 A Year (Toronto)
🏢 HelloFresh
📍 Toronto