Company: Project X Ltd.
Location: Toronto, Ontario
Employment Type: Full Time
Location: (Hybrid working model)
Salary Range: $96,000-125,000 CAD
Role Summary As a Consultant, Data Science at Project X Ltd., you will be providing our clients with your knowledge and experience of making sense of messy, unstructured data. Using your computer science, statistics and mathematics expertise, you will analyze, process and model data, then interpret the results to create actionable data driven solutions for our clients.
Key Responsibilities - Participate in the requirements gathering, analysis, project plans, and solutions design.
- Work with internal and external stakeholders to identify opportunities for leveraging company data to drive business solutions.
- Feature engineering, selection and optimization models with ML techniques.
- Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity ofdata.
- Productionalize data models with feedback loop to automate the refinement process for deployed models over time.
- Participate in the development of project plans to establish appropriate workload expectations and schedules.
- Maintain up-to-date knowledge of, and adopt relevant market trends and practices.
What We're Looking For - Required Qualifications - 3-5 years of hands-on experience as a Data Scientist
- Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Familiarity with LLMs, prompt engineering, and AI application development using APIs (e.g. OpenAI, Anthropic, or similar)
- Experience building and deploying data pipelines and ML workflows in cloud environments; Snowflake experience is a strong asset
- Exposure to Snowflake Cortex AI features (e.g. Cortex LLM functions, Cortex Search, or Cortex Analyst) is considered a plus
- Strong understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) patterns
- Ability to translate complex model outputs into clear business insights for non-technical stakeholders
- Comfort working in agentic and multi-agent system design is considered an advantage
Nice to Have - Experience with testing automation is an asset.
Use of Artificial Intelligence in Recruitment Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment.
How to Apply Please apply with your resume.
