Data Scientist (Machine Learning and AI)

Job summary

You will analyze, process, and model complex, unstructured data to create actionable business solutions for clients. Additionally, you will participate in solution design, feature engineering, and the productionalization of machine learning models.

Job details

Company: Project X Ltd. Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $96,000-125,000 CAD About Project X Ltd. 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. 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 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 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. Employment Equity, Accessibility & Accommodations Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. Privacy Notice Personal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation. How to Apply Please apply with your resume.

What you’ll do

You will analyze, process, and model complex, unstructured data to create actionable business solutions for clients. Additionally, you will participate in solution design, feature engineering, and the productionalization of machine learning models.

Requirements

Candidates must have 3-5 years of hands-on experience as a Data Scientist with proficiency in Python, SQL, and machine learning frameworks. Strong knowledge of cloud environments, LLMs, and data pipeline development is required.

Listed skills

• SQL · Preferred
• Machine learning · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Machine Learning
• Data Wrangling
• Statistical Analysis
• Scikit-learn
• TensorFlow
• PyTorch
• LLMs
• Prompt Engineering
• Snowflake
• Vector Databases
• Embeddings
• Retrieval-Augmented Generation
• Data Pipelines
• Cloud Computing
• Employment Equity
• Courage
• Vector Database
• Business Solutions
• OpenAI
• Workflow Management
• Curiosity
• Retrieval Augmented Generation
• Snowflake (Data Warehouse)
• Willingness To Learn
• Application Programming Interface (API)
• Multi-Agent Systems
• Artificial Intelligence
• Application Development
• Application Lifecycle Management
• Automation
• Customer Service
• Computer Science
• Creative Thinking
• Data Modeling
• Data Profiling
• Innovation
• Python (Programming Language)
• Market Trend
• Mathematics
• Requirements Elicitation
• Resume Screening
• SQL (Programming Language)
• Statistics
• Systems Design
• Unstructured Data
• Feature Engineering
• Data Science
• Scikit-Learn (Python Package)

Job areas

• Data & Analytics
• Technology
• Software
• Consulting
• Science & Research
• Machine Learning Data Scientist
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists

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