Intermediate Data Scientist (Python, Databricks, Spark, Ml), Financial Institution, Montreal (Hybrid
Abbeal
Build machine learning and predictive analytics models that help a Canadian financial institution make decisions. Montreal, hybrid 3 days on site, bilingual.Abbeal is looking for an intermediate data scientist for a Canadian financial institution in Montreal.Context
The data and AI team builds machine learning solutions that inform business decisions, working closely with the data engineers and AI engineers who take them to production.The role
Statistical modelling and predictive analyticsExperimentation: A/B testing and causal inferenceFeature engineering, model evaluation and interpretabilityProduction deployment with data and AI engineersData storytelling and prescriptive recommendations for business teamsWhat we are looking for
At least 3 years in data science, quantitative degree (bachelor, master or PhD)Python and SQL (pandas, NumPy, scikit-learn)Databricks (notebooks, workflows) and SparkGit and Azure DevOps or JiraPower BI or TableauTerms
Montreal, hybrid: 3 days on site, 2 days remoteFreelance contractFluent French and English
#J-18808-Ljbffr
The data and AI team builds machine learning solutions that inform business decisions, working closely with the data engineers and AI engineers who take them to production.The role
Statistical modelling and predictive analyticsExperimentation: A/B testing and causal inferenceFeature engineering, model evaluation and interpretabilityProduction deployment with data and AI engineersData storytelling and prescriptive recommendations for business teamsWhat we are looking for
At least 3 years in data science, quantitative degree (bachelor, master or PhD)Python and SQL (pandas, NumPy, scikit-learn)Databricks (notebooks, workflows) and SparkGit and Azure DevOps or JiraPower BI or TableauTerms
Montreal, hybrid: 3 days on site, 2 days remoteFreelance contractFluent French and English
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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