Senior Data Scientist, Commercial

HelloFresh
Toronto
Workplace: HybridFull timeCAD 104,000 - 114,000Function: Data Science & Machine LearningExperience: 3-5 yearsEducation: bachelorsSkills: ["Collaboration","Mentorship","Project execution","Strategic thinking","Communication"]

Build, test, deploy, and continuously improve statistical and machine learning models that deepen understanding of customers, products, and operations. Lead end-to-end AI integration across business workflows by working with data engineering, analytics, enterprise architects, and business teams. Architect production-ready solutions (including GenAI, ML pipelines, and monitoring) and help advance global MLOps/LLMOps platforms while coaching junior data scientists.

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FursaFursa
HelloFresh
HelloFresh
23 hours ago

Senior Data Scientist, Commercial

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Last checked: 4 hours agoStatus: Live

Job Summary

Build, test, deploy, and continuously improve statistical and machine learning models that deepen understanding of customers, products, and operations. Lead end-to-end AI integration across business workflows by working with data engineering, analytics, enterprise architects, and business teams. Architect production-ready solutions (including GenAI, ML pipelines, and monitoring) and help advance global MLOps/LLMOps platforms while coaching junior data scientists.
Location: Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Collaborate with data engineers, data analysts, enterprise architects, and business units to design and execute end-to-end AI integration strategies.
  • •Lead design, building, fine-tuning, and deployment of data and AI solutions, including statistical models, ML pipelines, and Generative AI applications.
  • •Architect and integrate AI models, APIs, and microservices into production environments with operational performance, security, and scalability in mind.
  • •Coach junior data scientists on AI engineering, ML integration best practices, and effective delivery.
  • •Contribute to developing, implementing, and governing global MLOps and LLMOps platforms in Canada.

Pay and Benefits

Salary: CAD 104,000 - 114,000
Perks:Health InsuranceDentalRrsp MatchingParental LeaveLearning Budget

Key Requirements

  • •3–5 years of experience leading data science projects and delivering measurable business value.
  • •Experience integrating AI models into existing business workflows and production software applications.
  • •Ability to identify AI/ML business opportunities, scope and prioritize projects, and structure execution strategies.
  • •Hands-on experience with MLOps/LLMOps, including API integrations and model monitoring/evaluation in production.
  • •Strong proficiency in Python and advanced SQL querying skills; STEM bachelor’s degree preferred.
Experience:3-5 years
Education:Bachelor's
Skills:CollaborationMentorshipProject executionStrategic thinkingCommunication
Languages:English
Tech Stack:PythonSQLMLOpsLLMOpsGenerative AIMachine LearningDeep LearningAPIsMicroservicesML pipelinesModel monitoringModel evaluationStatistical analysis

Company Brief

HelloFresh
HelloFresh is a meal-kit and food subscription company that delivers fresh ingredients and recipes to consumers, offering convenient home-cooked meals through weekly subscription boxes across multiple international markets.
Industry: FoodTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn