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Data Scientist (Azure, Python, and SQL) - Toronto, ON

  • Toronto, ON, Canada
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Job details

Experience
4+ years experience as a Data Scientist, Data Engineer, Machine Learning Engineer or a simular position
Posting language
English

Original job description

Data Scientist (Azure, Python, and SQL)
Toronto, ON. Fully Remote

 1-year contract (with the possibility of extension)

The ideal candidate is comfortable working with analyzing large data sets to find opportunities to improve product performance and increase value to customers. In order to do that, it's important that this person knows how to communicate well with all levels of the organization, ranging from peer Data Scientists to business stakeholders. They must have a proven ability to drive business results and comfortable communicating recommendations and findings to a business audience. The right candidate will have a passion for growing their data science acumen.

Responsibilities: 

  • Use predictive modeling to increase and optimize customer experiences 
  • Marketplace focused on ICO domain.
  • Work with the Product Manager to prototype new ideas, models, and ways of leveraging lots of data points to improve business outcomes.
  • Utilize appropriate cloud resources based on project demands and data workloads needs to automate and productionalize data science processes.
  • Develop enrichment processes and procedures to improve the cleanliness, usability and understanding of data.
  • Proactively monitor existing Machine Learning models, their performance, output, and accuracy.
  • Management of large-scale data processing system for preparing structured and unstructured data for analytic modelling.
  • Work along with Support Teams to troubleshoot and identify customer-reported issues.

Must-Haves:

  • 4+ years experience as a Data Scientist, Data Engineer, Machine Learning Engineer or a simular position
  • Extensive experience with Azure 
  • Expert level in Python and SQL querying skills
  • Experience with training and maintaining ML models
  • University degree in STEM field

Nice-To-Haves:

  • Experience with pricing estimations and insights
  • Automotive services experience 
  • E-commerce industry experience 
More about this job

Responsibilities

The Data Scientist at Source Code will build predictive models to improve customer experiences and prototype new data-driven ideas with the Product Manager. They will automate data science work in the cloud, clean and enrich data, and monitor machine learning models in production.

Requirements

Candidates need 4+ years as a Data Scientist, Data Engineer, Machine Learning Engineer or similar, with extensive Azure experience, expert Python and SQL skills, and experience training and maintaining ML models. A university degree in a STEM field is required.

Skills

  • Azure
  • Python
  • SQL
  • machine learning
  • predictive modeling
  • model monitoring
  • cloud resource management
  • data pipeline automation
  • data cleaning and enrichment
  • large-scale data processing
  • structured and unstructured data
  • statistical analysis
  • stakeholder communication
  • troubleshooting

Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • Data Scientist
  • Azure
  • Python
  • SQL
  • machine learning
  • predictive modeling
  • ML models
  • data engineering
  • cloud computing
  • data processing
  • analytics
  • business intelligence
  • remote
  • contract
  • Toronto
  • pricing estimation
  • e-commerce
  • automotive services
  • ICO
  • data cleaning

Tools

  • Azure
  • Python
  • SQL

Languages

  • English

Seniority

Mid level

Fields of study

  • STEM

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