Data Scientist

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.

We are seeking a Data Scientist to join our team and drive innovation by leveraging your expertise in statistical data analysis, machine learning, and NLP to create and deliver impactful AI solutions.

As a Data Scientist, you will work on challenging projects that require end-to-end involvement, from data preparation to model deployment, all while working collaboratively with cross-functional teams and delivering production-ready solutions.

Responsibilities

• Develop, implement, and evaluate AI solutions, including classification, clustering, anomaly detection, and NLP
• Apply advanced statistical techniques and machine learning algorithms to solve complex business problems
• Utilize Python and SQL to write production-level code and perform comprehensive data analysis
• Implement model development workflows, including ML Ops, and feature engineering techniques
• Utilize Azure AI Search and other tools to make data and models accessible to stakeholders
• Collaborate with software development and project management teams, leveraging version control tools like GitLab and project tracking software like Jira
• Optimize data pipelines and model performance for real-world applications
• Communicate technical concepts effectively to both technical and non-technical audiences
• Stay updated on emerging technologies, applying a problem-solving mindset to integrate them into projects
• Ensure adherence to Agile development practices and maintain fluency in UNIX command line operations

Requirements

• 3 to 5 years of experience in Data Science
• Proficiency in statistical data analysis, machine learning, and NLP with practical applications and limitations
• Expertise in Python programming and SQL, with experience in data analysis libraries and production-level code
• Background in developing AI solutions, including classification, clustering, anomaly detection, or NLP
• Familiarity with ML Ops and feature engineering techniques, with hands-on experience in model workflows
• Flexibility to use tools like Azure AI Search to make models accessible for business use
• Competency in software development methodologies and code versioning tools such as GitLab
• Knowledge of project management tools such as Jira and Agile development practices
• Qualification in working with UNIX command line and problem-solving with innovative technologies
• B2 level of English or higher, with an emphasis on technical communication skills

Nice to have

• Familiarity with Cloud Computing, Big Data tools, and/or containerization technologies
• Proficiency in data visualization tools for clear communication of insights

We offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)