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Middle Data Scientist for a Software Company

Data Science, Python, Keras, TensorFlow, PyTorch, Statistics, PySpark, CI/CD
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Sorry, this position is no longer available

Currently, we are looking for a remote Middle Data Scientist to become a part of our global team.

Responsibilities
  • Collect and analyze data, identify patterns and trends in data sets
  • Define new data collection and analysis processes
  • Work in the team, share results /reports, and communicate them with relevant stakeholders, product and dev team
  • Develop and implement novel statistical / machine learning approaches to real-world, large-scale problems that have a direct impact on the business
  • Translate business problems into prediction models and optimization programs, implemented with professional software engineering skills
Requirements
  • 2+ years of experience in Data Science
  • Extensive knowledge of Data Science skills (Exploratory Data Analysis, Statistics, Visualization, Core ML)
  • Experience with Python, Pyspark
  • Basic data engineering skills Core Engineering skills (versioning, ci/cd, high quality, automated testing, scalability)
  • High-level knowledge of DevOps / Platform skills (Scheduling and ML pipelines)
  • High motivation and passion for continuous learning
  • Result-driven and taking full ownership for the task s/he is working on
  • Team player, advanced collaboration, listening, written and verbal communication skills
  • Opinionated yet humble
  • Ability to see the big picture and decompose it into domains
Nice to have
  • Deep and hands-on expertise on ML models including deep learning
  • Knowledge and experience with Tensorflow / Keras, pytorch
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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