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Big Data/Data Science Engineer

New York, NY, USA

Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of over 25,900+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty, and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION


You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Big Data/Data Science Engineer. Scroll down to learn more about the position’s responsibilities and requirements.

Responsibilities

  • Integrate machine learning models into production;
  • Develop robust, scalable production predictive models based on prototype algorithms developed in Python or R;
  • Iterate, and innovate on machine learning algorithms in collaboration with Machine Learning Engineers and Software Engineers;
  • Collect, process and cleanse data from a wide variety of sources;
  • Transform and convert unstructured data set into structured data for algorithm input;
  • Evaluate the effectiveness of user experiences, determining what data is needed and how to collect it.

Requirements

  • Profound experience with Spark MLlib, Scala or Java;
  • Minimum of 3 years in a data science engineering role;
  • Experience working with product development teams and/or with other developers;
  • Knowledge of Python, R, TensorFlow, scikit-learn, machine learning algorithms, statistics, probability.

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;
  • Matched 401(k) Retirement Savings Plan;
  • Paid Time Off;
  • Legal Plan and Identity Theft Protection;
  • Accident Insurance;
  • Employee Discounts;
  • Pet Insurance.