Job Description

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.)