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Qventus
3+ YOECandidates need 3+ years of experience putting machine learning systems into production, 1+ year of developing and tuning LLM systems, and strong Python and SQL skills. Strong communication with technical and non-technical audiences and solid software development habits are also required.
Python, SQL, Databricks, AWS, DBT
Randstad Canada
5+ YOECandidates need 5+ years of hands-on data management or governance experience and 2+ years implementing enterprise cataloging or governance tools such as Informatica. They also need deep knowledge of governance frameworks, strong SQL skills and Agile delivery experience.
Informatica, SQL, Azure Data Factory, Power BI
Randstad Canada
5+ YOECandidates need at least 5 years of hands-on data science and machine learning experience, plus 5 years with Azure SQL, Azure Synapse and Azure Databricks. Strong advanced Python and SQL skills, experience deploying production AI models, and Power BI dashboard experience are also required.
Azure Databricks, Azure Synapse, Azure SQL Server, Azure Machine Learning, Azure OpenAI, Apache Spark
5+ YOECandidates need 5+ years analyzing data with statistical and quantitative methods such as machine learning, forecasting and econometrics. Strong SQL and Python or R skills, online experimentation knowledge, and clear communication with technical and non-technical partners are required.
SQL, Python, R
Tiger Analytics Inc.
10+ YOECandidates need 10+ years as a Data Scientist with supply chain or inventory optimization experience, an MS or PhD in a quantitative field, and hands-on use of solvers such as Gurobi, CPLEX, or OR-Tools. Strong Python, PySpark, and SQL skills and clear communication are essential.
Python, PySpark, SQL, Gurobi, CPLEX, Xpress MP
DataVisor
3+ YOECandidates need a Master's or PhD in a quantitative field, 3+ years of applied fraud, cybersecurity or risk experience, and production machine learning skills. Strong Python and SQL are required, with PySpark, Spark and cloud platforms as assets.
Spark, Hadoop, AWS, GCP, Azure, SQL
DataVisor
3+ YOECandidates need a Master's or PhD in a quantitative field, 3+ years of applied fraud, cybersecurity or risk experience, and production machine learning skills. Strong Python and SQL are required, with PySpark, Spark and cloud platforms as assets.
Spark, Hadoop, AWS, GCP, Azure, SQL
DataVisor
3+ YOECandidates need a Master's or PhD in a quantitative field, 3+ years of applied fraud, cybersecurity or risk experience, and production machine learning skills. Strong Python and SQL are required, with PySpark, Spark and cloud platforms as assets.
Spark, Hadoop, AWS, GCP, Azure, SQL
Deloitte
4+ YOECandidates need a bachelor's degree in an engineering, data science or quantitative field, and 4 to 7+ years of power systems or data science experience. Required skills include Python, SQL, power system analysis tools and utility data such as SCADA, AMI and GIS.
Python, SQL, CYME, PSS®E, PSCAD, ETAP
JDI
5+ YOECandidates need 5+ years applying statistical analysis, machine learning and forecasting to business problems, plus expert skill in Python, SQL and machine learning frameworks. Five years of Canadian residence is required for security clearance.
Python, SQL, Azure AI
Upshop
Candidates need hands-on experience with gradient boosted trees (LightGBM, CatBoost) and time-series retail forecasting, plus strong Python and PySpark skills. They also need Databricks experience (Workflows, Delta Lake, MLflow) and solid software engineering practices such as pytest and Git.
Databricks, MLflow, PySpark, Delta Lake, Git, pytest
Symbiotic Digital: Serving IT & Business leaders, Symbiotic Digital provides a business system that enable us to provide the Expert Technical staff needed to solve…
Candidates need strong skills in statistics, machine learning, SQL, Python or R, and data visualization tools such as Power BI or Tableau. They also need experience with data governance, large datasets and clear communication with technical and non-technical audiences.
SQL, Python, R, Power BI, Tableau, R Shiny
Financeit
Candidates need a quantitative university degree and 0 to 3 years of analytics or risk experience. Python, SQL and Excel skills are required, and machine learning, credit risk or IFRS 9 exposure is a strong asset.
Python, SQL, Excel, Confluence
Opendoor
Candidates need experience as a data scientist, product analyst or similar quantitative role, with strong statistics, experimentation and causal inference skills. They also need strong SQL and Python, experience with large datasets, and clear communication.
SQL, Python
Larus Technologies
2+ YOECandidates need 2+ years of experience deploying AI/ML models in production, a STEM undergraduate degree, and strong Python programming skills. Client-facing experience and strong communication skills are also required, and a Canadian government security clearance must be obtainable.
Python, TensorFlow, Keras, Scikit-learn, PyTorch, Git
Rodan Energy Solutions Inc.: Rodan Energy is a leading North American provider of DER asset optimization, demand response and energy intelligence solutions.
3+ YOECandidates need a quantitative degree or equivalent industry experience, at least 3 years building optimization models, and strong Python and SQL skills. Experience backtesting models and tracking results in MLflow or a similar tool is also required.
Python, SQL, MLflow, Databricks, Unity Catalog Model Registry, Gurobi
THE EMPIRE LIFE INS. CO: The Empire Life Insurance Company (Empire Life) is a proud Canadian company that has been in business since 1923.
2+ YOECandidates need a master's degree or higher in a quantitative field and 2+ years in a quantitative role. They need strong Python and SQL skills, plus experience with machine learning, statistics and Generative AI tools.
Python, SQL, Microsoft Azure, Snowflake, Azure OpenAI, OpenAI
Ample Insight Inc.
Ample Insight needs candidates with a degree in computer science or a coding-based engineering field, hands-on machine learning and statistics experience, and production deployment experience. Strong Python, R and TensorFlow skills and a strong business sense are also required.
Python, R, TensorFlow, pandas, NumPy, scikit-learn
19 companies