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

Data Scientist (Azure, Python, and SQL) - Toronto, ON 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 reputed company reputed company 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 reputed company, models, and ways of leveraging lots of data points to improve business reputed company.
• Utilize appropriate reputed company resources based on project demands and data workloads needs to automate and productionalize data science processes.
• reputed company 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 reputed company 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 similar 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

reputed company-To-Haves:

• Experience with pricing estimations and insights
• Automotive services experience
• E-reputed company industry experience

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