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About the Role
The Senior Data Scientist is responsible for building, testing, and deploying statistical and machine learning models, and conducting data deep dives which drive a better understanding of our customers, products, and operations. This role will devise and build effective and scalable data-driven solutions.
Responsibilities
- Collaborate with data engineers, data analysts, enterprise architects and functional business units to design and execute end-to-end AI integration strategies across business workflows.
- Lead the design, building, fine-tuning, and deployment of data and AI solutions, including statistical models, ML pipelines, Generative AI applications, and advanced statistical analysis.
- Architect and integrate AI models, APIs, and microservices into production environments, ensuring seamless operational performance, security, and scalability.
- Coach junior data scientists on AI engineering, ML integration best practices, and effective data science project delivery.
- Maintain up-to-date knowledge of emerging machine learning, deep learning, and Generative AI frameworks, identifying novel applications for the business.
- Liaise with Global data science teams to identify opportunities for cross-functional collaboration, code reviews, joint AI initiatives, and the adoption of new technologies.
- Contribute to the development, implementation, and governance of the global MLOps and LLMOps platforms in Canada.
- Perform other duties as assigned.
Requirements
- 3–5 years of experience leading data science projects and driving quantifiable business value.
- Proven track record of integrating AI models into existing business workflows and production software applications.
- Experience identifying business opportunities for AI and ML solutions, scoping and prioritizing projects, and structuring execution strategies.
- Hands-on experience with MLOps/LLMOps frameworks, API integrations, and model monitoring/evaluation in production.
- Strong proficiency in Python programming and modern ML/AI frameworks.
- Advanced SQL querying skills.
- Possible exposure to common allergens (e.g., peanuts, tree nuts, milk) in the work environment.
Skills
- Python
- Machine Learning
- AI
- Statistical Models
- ML Pipelines
- Generative AI
- Advanced Statistical Analysis
- API Integrations
- Microservices
- MLOps
- LLMOps
- SQL
Location
- Toronto, ON
Work Type
- Hybrid
- Flexible Hybrid Approach
- Minimum of 2 days in office per week
Experience Level
- Senior
- 3-5 years
Education Level
- Bachelor’s degree in STEM, Economics, or Business preferred, or equivalent work experience.
Salary/Compensations
- $104,000—$114,000 CAD
Benefits
- 75% discount on weekly HelloFresh and Chefs Plate meal kits
- 50% off weekly Factor meal box
- Health & Dental benefits from day 1
- Health Spending Account
- Unlimited access to the Headspace app
- 25% discount on GoodLife fitness memberships
- Competitive RRSP matching program
- Generous vacation and PTO
- Parental leave top-up program
- Development opportunities
- L&D fund
About the Company
- HelloFresh Canada is a food company.
- HelloFresh Canada uses AI-integrated technology to help process and evaluate applications more efficiently.
Equal Opportunity
- With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.