Middle Data Scientist for a Software Company

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

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

Deep and hands-on expertise on ML models including deep learning

Knowledge and experience with Tensorflow / Keras, pytorch

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