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Middle Data Scientist for a Software Company
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