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
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Create and develop data science solutions that support core business goals and strategic programs
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Construct, train, and assess machine learning and AI models to address real-world scenarios
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Investigate, cleanse, and prepare large datasets to support accurate analysis and modeling
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Partner with engineering, product, and business teams to convert requirements into technical solutions
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Roll out models into production while safeguarding scalability, reliability, and performance
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Track model behavior and continuously refine solutions based on fresh data and feedback
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Present findings, insights, and recommendations clearly to both technical and non-technical audiences
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Help shape best practices, coding standards, and reusable components across the team
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Keep pace with the latest developments in AI, machine learning, and data science to bring fresh ideas into projects
Requirements
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A minimum of 2 years of applicable professional experience in data science, machine learning, or a similar field
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Advanced proficiency with Claude Code for AI-assisted development and productivity gains
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Solid programming abilities in Python, Java, and SQL for creating data pipelines, models, and analytical tools
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Strong background in AI and NLP modeling to build language-focused and predictive solutions
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Hands-on skills in Prompt Engineering and Retrieval-Augmented Generation (RAG) for developing sophisticated LLM-based applications
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Real-world experience with at least one leading cloud platform, such as AWS, Google Cloud, or Azure, for deploying and operating data science solutions
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Background in Development Workflow Automation to accelerate model development, testing, and release processes
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Familiarity with Context Window Management and Cost Optimization strategies when working with large language models
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Working knowledge of Agile approaches such as Scrum or Kanban to support efficient collaboration and delivery
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Basic Excel skills for data exploration, quick analysis, and reporting tasks
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Understanding of AI Ethics and Responsible Governance to promote fair, transparent, and compliant AI solutions
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Proficient English skills, both written and spoken, at a B2+ level or higher
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
