Senior Data Scientist

EPAM Systems • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • 18 days ago

Smart Apply

Similar jobs

1,826,976open jobs

106,569companies

259,126added this week

Browse all

Salary

$27k – $29k per year (gross)

Location

Hybrid (Vilnius, Kaunas, Lithuania)

Seniority

Senior · 5+ years exp

Employment

Full-Time

First seen by Alion on Oct 2, 2026. EPAM Systems scores D on the Alion truth index.

Overview

Company

Impact

Profile match

EPAM Systems

EPAM Systems is an American software engineering and digital transformation company founded in 1993 by Arkadiy Dobkin and Leonid Lozner, and headquartered in Newtown, Pennsylvania. It builds custom software products, platforms and data systems for large enterprises, combining consulting and design with engineering teams distributed across Central and Eastern Europe, India, Latin America and Western Europe. Listed on the New York Stock Exchange and a member of the S&P 500, the company relocated large parts of its delivery capacity after the 2022 invasion of Ukraine and has since centred its offering on cloud modernisation and AI-assisted engineering.

epam.com • HQ: Newtown, United States • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Custom Software Development • 5000+ employees • Est. 1993

Tech stack of EPAM Systems

Job Description

We are seeking a Senior Data Scientist with expertise in classical Machine Learning and tangible production experience in one or more domains, including NLP (Natural Language Processing), CV (Computer Vision), Time Series, MLE/MLOps (Machine Learning Engineering/Operationalization), and Recommendation Systems.

This position offers opportunities to contribute to varied projects. If you excel at addressing unique challenges, we invite you to apply and become part of our team.

_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._

Collaborate with EPAM's clients and internal stakeholders to design and deploy AI/ML-driven solutions
Propose actionable strategies to address complex business challenges
Engage with interdisciplinary teams to deliver measurable outcomes for clients
Maintain familiarity with emerging trends and technologies in Data Science and Artificial Intelligence

Requirements

5+ years of demonstrable production experience in Data Science / Machine Learning
Expertise in Deep Learning frameworks like PyTorch or TensorFlow
Proficiency in the Python ecosystem and associated data science libraries (pandas, sklearn, NumPy)
Expert knowledge of at least one domain: Natural Language Processing, Machine Learning Engineering, Computer Vision, Time Series, or Recommendation Systems
Strong communication and presentation abilities suited for conveying advanced technical ideas to non-technical audiences
B2+ proficiency in English, both verbal and written

Nice to have

Knowledge of a Cloud provider such as AWS, GCP, or Azure

Company offers

Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more