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senior data scientist

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Apache Spark, Machine Learning Model Development
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Sorry, the job is expired

Currently, we are looking for a remote Senior Data Scientist.

The customer is a Canadian retail company which operates in the automotive, hardware, sports, leisure and housewares sectors. It is a family of businesses that includes a retail segment, a financial services division and CT REIT.

responsibilities
  • Developing a MLOps platform to automate the Machine learning model development and deployment and feature engineering
    • Develop a CI/CD pipeline which will feed the Databricks Feature Store
      • Migrate the existing Spark feature engineering pipelines to Azure and help the team to identify and develop a forecasting model
        requirements
        • 3+ years of experience as Data Scientist
          • Advanced knowledge of PySpark
            • Strong Data Science core skilss
              nice to have
              • MLflow
                • Azure Kubernetes Services
                  • Azure Data Factory
                    • Azure Databricks
                      • ML model deployment
                        • Docker

                          benefits for locations

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                          For you

                          • Paid time off
                          • Paid sick leave days
                          • Medical insurance
                          • Stable income

                          For your comfortable work

                          • 100% remote work forever
                          • Free licensed software
                          • Possibility to work on your own device (BYOD)
                          • Stable workload
                          • Relocation opportunities
                          • Flexible engagement models

                          For your growth

                          • Free trainings for technical and soft skills
                          • Free access to LinkedIn Learning platform
                          • Language courses
                          • Free access to internal and external e-Libraries
                          • Certification opportunities
                          • Skill advisory service
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