Data Scientist

Location: Etobicoke, ON

*** Mention DataYoshi when applying ***

Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex, high volume data from a variety of sources;
Analyzes large quantities of data and presents insights and predictions (e.g., on client behaviors and preferences, new products and services) to support management planning, execution and monitoring of business decisions; Builds and maintains the production execution of Data Science into enterprise systems and architecture

You will be accountable to:
  • Monitor and deploy within the production data science environment using best practices, pipeline controls, and clear documentation around intent and usage of model or algorithm.
  • Research, design, and construct predictive models to enhance understanding of Moneris core business and adjacent opportunities. Design and implement solutions that can measurably improve business performance in the business context.
  • Partner with data engineering and data analytics teams to ensure that data structures and data pipeline enhances data science applications and shortens development cycle.
  • Use robust statistical techniques to increase accuracy for existing projects and create solutions for adoption in business context knowingly increase performance.
  • Lead in tuning and refining the deployment of models in a variety of environments ensuring that the business context matches the performance of the model and that the cost of running aligns with the need.
  • Collaborate with different functional teams to promote structured pipeline deployment of data science to ensure consistency, security, resiliency of the system.
  • Collaborate with business teams in the centre of excellence on data science sharing best practice, new approaches, and successes
  • Actively build business and technical understanding to enhance solution development and create opportunities to enhance business processes and overall performance.

Your experience includes:
  • Masters degree in in a quantitative field required, or equivalent work experience. PhD considered an asset
  • Experience in Databricks
  • Experience in Spark, Pyspark, SQL, Python
  • Experience in Azure
  • Experience in Power BI, Tableau
  • Experience in Machine Learning methodologies and has experience building production grade solutions
  • Minimum 5 years experience in analytics, data science, computer engineering, database management
  • Proficient in multiple programming languages and can code with no oversight.
  • Experience in production data science pipeline management and deployment of models in a production environment.
  • Highly proficient in leading large scale projects or significant project steps and communicating progress/approach with technical/non-technical peers/clients and leaders.

*** Mention DataYoshi when applying ***

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