Пропустити навігацію EPAM

Senior Data Scientist - Remote Remote USA

  • hot

Senior Data Scientist - Remote Description

Job #: 74851
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. #306882758
#LI-DNI

#LI-DNP

#REF_DATAQ122_US

#REF_DATAQ122_US

What You’ll Do

  • Should be able to:
    • Convert large volumes of structured and unstructured customer data using advanced analytical solutions
    • Use and fit different mathematical and econometric models, 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

Requirements

  • 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

  • Medical, Dental and Vision Insurance (Subsidized)
  • Health Savings Account
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Short-Term and Long-Term Disability (Company Provided)
  • Life and AD&D Insurance (Company Provided)
  • Employee Assistance Program
  • Unlimited access to LinkedIn learning solutions
  • Matched 401(k) Retirement Savings Plan
  • Paid Time Off
  • Legal Plan and Identity Theft Protection
  • Accident Insurance
  • Employee Discounts
  • Pet Insurance

Additional

  • Depending on the position, EPAM employees may need to work at a client worksite or an EPAM office. To protect employees and help communities fight the COVID-19 pandemic, vaccination is required to visit an EPAM office in the US, and many of our clients have similar policies in place. Due to this, a COVID-19 vaccination may be necessary and when applicable, specific details will be discussed during the interview process which may include providing proof of vaccination. For candidates with exceptional circumstances that prevent them from getting the COVID-19 vaccine, we will offer alternative reasonable accommodation, where possible, which should be coordinated by your recruiter and discussed directly with an HR Representative. 
  • This position operates in a remote capacity, but you must live within driving distance to an EPAM office. Your recruiter will discuss specific details about work location during the initial interview process

ПРИВІТ! ЯК МИ МОЖЕМО ВАМ ДОПОМОГТИ?

НАШІ ОФІСИ