Data Scientist

We are looking for a skilled Data Scientist to join our team. In this position, you will play a key part in shaping and delivering advanced data-driven solutions that tackle complex business challenges. Working alongside cross-functional teams, you will help build modern AI-powered products and foster innovation throughout the organization.

Responsibilities

Create and develop data science solutions that support core business goals and strategic programs

Construct, train, and assess machine learning and AI models to address real-world scenarios

Investigate, cleanse, and prepare large datasets to support accurate analysis and modeling

Partner with engineering, product, and business teams to convert requirements into technical solutions

Roll out models into production while safeguarding scalability, reliability, and performance

Track model behavior and continuously refine solutions based on fresh data and feedback

Present findings, insights, and recommendations clearly to both technical and non-technical audiences

Help shape best practices, coding standards, and reusable components across the team

Keep pace with the latest developments in AI, machine learning, and data science to bring fresh ideas into projects

Requirements

A minimum of 2 years of applicable professional experience in data science, machine learning, or a similar field

Advanced proficiency with Claude Code for AI-assisted development and productivity gains

Solid programming abilities in Python, Java, and SQL for creating data pipelines, models, and analytical tools

Strong background in AI and NLP modeling to build language-focused and predictive solutions

Hands-on skills in Prompt Engineering and Retrieval-Augmented Generation (RAG) for developing sophisticated LLM-based applications

Real-world experience with at least one leading cloud platform, such as AWS, Google Cloud, or Azure, for deploying and operating data science solutions

Background in Development Workflow Automation to accelerate model development, testing, and release processes

Familiarity with Context Window Management and Cost Optimization strategies when working with large language models

Working knowledge of Agile approaches such as Scrum or Kanban to support efficient collaboration and delivery

Basic Excel skills for data exploration, quick analysis, and reporting tasks

Understanding of AI Ethics and Responsible Governance to promote fair, transparent, and compliant AI solutions

Proficient English skills, both written and spoken, at a B2+ level or higher

We offer

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