Data Scientist

Position Summary

Do you believe in the power of technology to help shape a brighter future and a stronger global community? Are you inspired by the possibilities? Are innovation, camaraderie, and the pursuit of excellence part of your innate drive? Then you've got what it takes to succeed at Samsung.

If you want to work for one of the most recognized brands in the world and one of the Top 100 Employers in Canada, then please keep reading!

What We Offer:

• Hybrid work (currently 100% remote)
• Competitive Salary
• RRSP Matching
• Employer Paid Flexible Health Coverage (from day one)
• Employee Purchase Program – discounts!
• Professional Development Opportunities
• Free onsite gym, showers and bike storage room
• Employee Referral Program – we want great talent like you!

Role and Responsibilities

• Analyze data in order to understand business performance and behavior of the Samsung Knox products and customers
• Work on complex issues where analyzing situations or data requires an in-depth evaluation of variables
• Exercise judgement in selecting methods, techniques and evaluation criteria to obtain results
• Generate data reports and business insights using Tableau and the latest ML / AI technology
• Developing mathematical models for forecasting and defining the optimal strategy to drive for future growth
• Developing ETL and data sources for the related data analysis

Skills and Qualifications

• PhD or Master’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional
• 5+ years of industry experience in predictive modeling, data science, and analysis
• Experience in data scientist role building and deploying ML models or hands on experience developing deep learning models
• Experience writing code in Python, Java with documentation for reproducibility
• Expertise in Python using SciKit-Learn, Pandas, Tensor flow, Keras, Deep Learning Framework, etc.
• Knowledge of AWS, Azure, Google Cloud, Google Analytics
• Strong communication and preference for working in teams
  

Samsung is an equal employment opportunity employer. We thank you for your interest in working for Samsung; only candidates selected for an interview will be contacted.

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