Lead Data Scientist

Location: Canada

*** Mention DataYoshi when applying ***

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 curious, persistent, logical and clever. You enjoy living by the code of your craft and developing mind-blowing solutions for complex problems. You are a true techie at heart. If this sounds like you, this could be the perfect opportunity to join EPAM as a Data Scientist!

Req. #218319779

What You’ll Do

  • The candidate needs to have a solid understanding of software development methodologies (like Agile and SAFE) with either a proven history of delivering to the enterprise, or a strong passion to do so using Python
  • The ultimate candidate would have a strong mathematics background and a desire to work with Machine Learning (ML) technologies in Python in an effort to elevate the customer's experience when interacting with client
  • Ability to wear many hats at a time and willing to train some of these skills if you bring the passion and desire to grow professionally and technically
  • Independent self-motivated worker but team aligned
  • Passionate about creating new things using software
  • Interested in delivering practical applications of Machine Learning
  • Hands-on person with good communication abilities both written and presenting to leadership
  • Ability or desire to work closely with DevOps on infrastructure and release planning


  • Hungry generalist with a passion for learning, especially interest in bringing Data Analytics / Machine Learning to bear in practical applications
  • 2-5 years of experience, preferably in a data heavy role, but not required for the appropriate candidate
  • Knowledge of one or more of the following technologies: Python, ML, AI, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (PlSQL, HQL, Mongo)
  • Has participated in, or is willing to understanding Agile / Scrum development methodologies
  • Ability to learn and operate independently while still being an active participant in the team ceremonies
  • Ability to learn and cross-train on full-stack SDLC cycles: Imagine, Architect, Design, Document, Code, Delivery, DevOps, Debug, Support

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)
  • Long-Term Disability
  • Registered Retirement Savings Plan (RRSP) with company match
  • Paid Time Off
  • Critical Illness Insurance
  • Employee Discounts
  • Unlimited access to LinkedIn learning solutions

*** Mention DataYoshi when applying ***

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