As of November 7, 2026, Jobsy lists 19 staff data scientist jobs in Canada. The most active employers are Fetch, Reddit and Royal Bank of Canada. Skills often requested: python, sql, communication skills and statistics.
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7+ YOEMercury needs 7+ years building ML models that drove automated decisions, strong production Python and SQL, and depth in time series, anomaly detection, NLP, deep learning and LLMs. Candidates also need a quantitative degree or equivalent and the ability to explain models to credit, validation, product and engineering audiences.
5+ YOECandidates need deep machine learning and deep learning skills, experience running ML systems in production, and strong advanced Python and software engineering skills. Git and GitHub experience and strong communication are also required.
5+ YOECandidates need deep machine learning and deep learning skills, experience running ML systems in production, and strong advanced Python and software engineering fundamentals. Git and GitHub experience and strong communication skills are required.
8+ YOECandidates need 8+ years in data science or applied statistics, including 3+ years building advertising platform products. They must have strong causal inference skills, experience with predictive and ranking systems, and tools like Python, SQL, Snowflake and dbt.
8+ YOECandidates need 8+ years in data science or analytics, advanced Python and SQL, and experience building and deploying machine learning models. Strong skills in statistics, experiment design and causal inference are required, along with the ability to influence senior stakeholders and communicate clearly.
8+ YOECandidates need 8+ years in data science, economics, statistics or applied research, at Staff or Principal scope. They need deep causal inference and experimentation expertise, experience owning company-level metrics, and strong communication with senior audiences. A bachelor's degree in a quantitative field is required.
5+ YOECandidates need 5+ years of applied data science with measurable business impact, including models that drove paid media decisions such as spend, bidding or ad serving. Expert Python and SQL, and experience with late labels, sparse data and drift, are required.
8+ YOECandidates need 8+ years in data science or machine learning, including 2 to 3 years shipping LLM-based or agentic systems to production. They need deep LLM evaluation skills, strong Python, and experience influencing technical direction beyond their own team.
7+ YOECandidates need 7+ years of applied data science or machine learning experience at internet scale, with strong statistical skills in classification, prediction and time series models. They need expert Python skills (pandas, NumPy, scikit-learn) and a bachelor's or master's in a quantitative field.
5+ YOECandidates need 5+ years in data science or machine learning with a focus on fraud prevention or anti-money laundering, plus Python and experience with large datasets on distributed systems. Strong analytical, problem-solving and communication skills are required.
5+ YOECandidates need 5+ years of data science experience delivering production ML systems, strong statistical and ML modeling skills, and proficiency in Python and SQL. Cloud experience, mentoring and strong communication with technical and non-technical stakeholders are also required.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
8+ YOECandidates need 8+ years in data science or applied machine learning, with experience leading others and designing evaluation frameworks for generative or agentic AI. They need hands-on LLM evaluation skills, strong Python, SQL and statistics, and the ability to turn governance and business requirements into measurable controls.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
8+ YOECandidates need 8+ years in data science or applied machine learning, with experience building evaluation frameworks for generative or agentic AI. Royal Bank of Canada also asks for strong Python, SQL and statistics skills, LLM evaluation experience, and the ability to turn governance and model risk needs into measurable controls.
8+ YOECandidates need 8+ years of experience in data science or growth analytics, strong SQL and Python, and deep knowledge of experimentation, causal inference and forecasting. Strong product intuition and clear communication skills are also required.
6+ YOECandidates need a master's or PhD in a quantitative field and 10+ years (master's) or 6+ years (PhD) of industry experience in marketing science or econometrics. Strong Python or R and SQL, marketing mix modelling and incrementality testing experience, and the ability to influence C-suite leaders are required.
6+ YOECandidates need a Master's or PhD in Statistics, Mathematics, Physics, Economics or Operations Research, plus deep ads ecosystem knowledge. They also need expertise in measurement, identity graphs or predictive modeling with signal loss, and advanced Python or R and SQL skills.
10+ YOECandidates need a Master's or PhD in a quantitative field plus 10+ years (M.S.) or 6+ years (Ph.D.) of industry applied science experience. Strong expertise in ads measurement, identity or predictive modeling with signal loss, plus advanced Python or R and SQL, is required.
7+ YOECandidates need 7+ years of analytics experience, strong SQL, and a track record of shaping strategy and influencing senior leaders. They should know experimentation and statistical methods and have used tools such as dbt, BigQuery and Mixpanel.
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.