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Data Scientist -Remote Remote Canada

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Data Scientist -Remote Description

Job #: 74926
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.


You are strategic, resilient, engaging with people and a natural self-starter. You have a passion for solving complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Data Scientist. Scroll down to learn more about the position’s responsibilities and requirements.

Req. #306883212

What You’ll Do

  • Convert large volumes of structured and unstructured customer data using advanced analytical solutions
  • Use and fit different mathematical and econometric models and develop descriptive and predictive models that deliver better decisions
  • Turn analyzed data into actionable insights and business value
  • Create high-quality data visualizations
  • Communicate effectively with different departments and roles to discuss complex data-driven findings and technical matters
  • Educate and train others on Data Science related matters
  • Estimate, plan and coordinate the delivery of large projects
  • Create Data Science solution architecture
  • Propose Data Science holistic solutions for customer problems
  • Find the right data and methods to address them
  • Build and validate analytical models
  • Present the findings in a clear and informative way


  • Extensive experience In Data focused applied mathematics (statistical analysis, machine learning)
  • Extensive Experience in Deep Learning: Keras, TensorFlow, PyTorch
  • Experience with RDBMS/SQL
  • Programming Experience (Python Preferred)
  • Experience with Data analysis tools and libraries such as Python (NumPy/SciPy/scikit-learn/pandas/matplotlib)
  • Exposure To Big Data stack (Spark/MLlib)
  • Proficiency with at least one Cloud provider (AWS, Azure, GCP)
  • Experience with Data Science solutions & Data visualization
  • Exposure to Data Mining
  • In-depth domain understanding and ability to acquire new domain knowledge

What We Offer

  • Extended Healthcare with Prescription Drugs, Dental and Vision Insurance (Company Paid)
  • Life and AD&D Insurance (Company Paid)
  • Employee Assistance Program (Company Paid)
  • Unlimited access to LinkedIn learning solutions
  • Long-Term Disability
  • Registered Retirement Savings Plan (RRSP) with company match
  • Paid Time Off
  • Critical Illness Insurance
  • Employee Discounts

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