Consultant, Data Scientist (Databricks)

Project XToronto, ON
CA$96,000 - CA$125,000Hybrid

About The Position

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
  • 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

  • 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
  • Comfort working in agentic and multi-agent system design is considered an advantage
  • Experience with testing automation is an asset.

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.
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