Consultant, Data Scientist

Project X • Toronto, ON

1d • Hybrid

About The Position

Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done. Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great.

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.

Requirements

• 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
• 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

Nice To Haves

• Exposure to Snowflake Cortex AI features (e.g. Cortex LLM functions, Cortex Search, or Cortex Analyst) is considered a plus
• Comfort working in agentic and multi-agent system design is considered an advantage
• Experience with testing automation is an asset.
• Use of Artificial Intelligence in Recruitment

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 of data.
• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed