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Senior Data Scientist - Remote Remote Canada

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Senior Data Scientist - Remote Description

Job #: 74833
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.

Description


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 Senior Data Scientist. Scroll down to learn more about the position’s responsibilities and requirements.

Req. #306883212

#REF_DATAQ122_CA

What You’ll Do

  • Identifying the business problems
  • Finding the right data and methods to address them
  • Building and validating analytical models
  • Presenting the findings in a clear and informative way
  • Should be able to:
    • Convert large volumes of structured and unstructured customer data using. advanced analytical solutions
    • 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 (product managers, engineers) 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

Requirements

  • Aptitude for problem solving
  • Data focused applied mathematics (statistical analysis, machine learning)
  • Decent communication / presentation skills (including working English fluency)
  • RDBMS/SQL knowledge
  • Programming experience (Python preferred)
  • Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R etc
  • Big Data stack; Spark / MLlib
  • Proficiency with at least one of the Cloud providers
  • Experience with Data Science solutions productionalization
  • Data visualization skills
  • NLP/text mining
  • Bachelor’s/Master’s Degree in Computer Science, Math, Applied Statistics or a related field
  • A few years of experience in data mining, statistics or machine learning
  • In-depth domain understanding and ability to acquire new

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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