data scientist

<p>Company: Project X Ltd.&#160; Location:&#160;Toronto, Ontario&#160;&#160; Employment Type:&#160;Full Time&#160; Location:&#160;(Hybrid working model)&#160; Salary Range:&#160;$96,000-125,000 CAD&#160; About Project X&#160;Ltd.&#160; Project X Ltd.</p><p>builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges.</p><p>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.&#160; Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients.</p><p>We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates&#8212;because at Project X, our people are what make us great.&#160; Role Summary&#160; 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.</p><p>Using your computer science,&#160;statistics&#160;and mathematics&#160;expertise, you will analyze, process and model data, then interpret the results to create actionable data driven solutions for our clients.&#160; &#160; Key Responsibilities&#160; Participate in the requirements gathering, analysis, project plans, and solutions design.&#160; Work with internal and external stakeholders to&#160;identify&#160;opportunities for&#160;leveraging&#160;company data to drive business solutions.&#160; Feature engineering,&#160;selection&#160;and optimization models with ML techniques.&#160; Improve data collection procedures and pipelines.</p><p>Perform data profiling and exploration to ensure the integrity of&#8239;data.&#160; Productionalize&#160;data models with feedback loop to automate the refinement process for deployed models over time.&#160; Participate in the development of project plans to&#160;establish&#160;appropriate workload&#160;expectations and schedules.&#160; Maintain up-to-date knowledge&#160;of, and&#160;adopt relevant market trends and practices.&#160; &#160; What&#160;We&#8217;re&#160;Looking For &#8211; Required Qualifications&#160; 3-5 years of hands-on experience as a Data Scientist&#160; Proficiency&#160;in Python and SQL, with experience in data wrangling, statistical analysis, and model development&#160; Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or&#160;PyTorch&#160; Familiarity with LLMs, prompt engineering, and AI application development using APIs (e.g.&#160;OpenAI, Anthropic, or similar)&#160; Experience building and deploying data pipelines and ML workflows in cloud environments; Snowflake experience is a strong asset&#160; Exposure to Snowflake Cortex AI features (e.g.&#160;Cortex LLM functions, Cortex Search, or Cortex Analyst) is considered a plus&#160; Strong understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) patterns&#160; Ability to translate complex model outputs into clear business insights for non-technical stakeholders&#160; Comfort working in agentic and multi-agent system design is considered an advantage&#160; Nice to Have&#160; Experience with testing automation is an asset.&#160; Use of Artificial Intelligence in Recruitment&#160;&#160; Project X may use automated or AI-enabled tools as part of the recruitment and selection process.</p><p>These tools may support activities such as resume screening, candidate matching, or application management.</p><p>All hiring decisions involve human review and judgment.&#160; Employment Equity, Accessibility &amp; Accommodations&#160; Project X is committed to fostering an inclusive, accessible workplace.</p><p>Accommodations are available upon request&#160;in accordance with&#160;the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.&#160; Privacy Notice&#160; Personal information collected during

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20 août 2026