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Data Scientist

Data Scientist

CAA Club GroupThornhill, ON, CA
30+ days ago
Salary
CA$42.00 hourly
Job description

Position Details

What You Will Do :

  • Defining Problem Stements - Work closely with cross-functional teams, including analysts, product managers and domain experts to understand business requirements, formulate problem statements, and deliver relevant data science solutions.
  • Machine Learning Model Development - Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources.
  • Data Preprocessing – Own and manage complex ETL pipelines to clean, preprocess and transform large datasets.
  • Feature Engineering - Identify and engineer relevant features to enhance model performance and accuracy
  • Model Deployment and Evaluation – Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models

Operational Management

  • Develop algorithms and predictive models to solve critical business problems.
  • Develop tools and libraries that will help analytics team members more efficiently interface with large amounts of data.
  • Analyze large, noisy datasets and identify meaningful patterns that provide actionable results.
  • Understand and recommend the best technology and / or tools to execute a data science / machine learning task in development and production.
  • Create informative visualizations that intuitively display large amounts of data and / or complex relationships.
  • Provide and apply quality assurance best practices for data science services across the organization.
  • Develop, implement, and maintain version control and testing processes for modifications to algorithms and data analytics.

    • Who You Are :

  • A Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science or directly related field.
  • Preference will be given to candidates with PhD in the field of Science / Mathematics / Statistics and relevant experience in machine learning algorithms, tools and technology.
  • Extensive experience solving analytical problems using quantitative approaches, preferably in the insurance sector.
  • Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using Python / R libraries and SQL
  • Familiarity with relational, SQL and NoSQL databases.
  • Knowledge of statistical analysis tools such as R, is a plus.
  • Expert knowledge of scripting in Python using OOPS concepts
  • Experience with PowerBI.
  • Experience in using cloud AutoML tools including on Azure, Amazon, Google, etc
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
  • Experience in DevOps or MLOps is a plus
  • Experience with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch) is a plus.
  • Experience in owning and managing complex ETL pipelines using Control M, AirFlow is a plus.
  • A strong passion for empirical research and for answering hard questions with data.
  • A strong hunger to learn and use new and latest technologies and tools.
  • Experience working in a team-oriented, collaborative environment.
  • A flexible analytic approach that allows for results at varying levels of precision.
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
  • Good written and verbal communication skills.
  • Strong technical documentation skills.
  • Good interpersonal skills.
  • Keen attention to detail.
  • Ability to effectively prioritize and execute tasks without supervision in a high-pressure environment.