Lead Data Scientist

EPAM Systems

We are looking for a Lead Data Scientist to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply.

Responsibilities

Develop and implement AI solutions, including classification, clustering, and anomaly detection
Conduct statistical data analysis and apply machine learning techniques
Manage complete project delivery from data preparation to model evaluation
Utilize Python programming and SQL for data manipulation and analysis
Engage in ML Ops and model development workflows
Create models that are accessible for business use
Collaborate with teams using software development methodologies and version control
Document processes and maintain project tracking tools such as Jira
Stay updated with new technologies and apply problem-solving skills effectively
Deliver production-ready solutions and facilitate knowledge sharing

Requirements

Over 9 years of software engineering experience with a focus on Data Science
A minimum of 1 year in a relevant leadership capacity
Strong grasp of statistical data analysis, machine learning, and NLP, including their practical uses and constraints
Hands-on experience building AI solutions involving classification, clustering, anomaly detection, and NLP
Skilled in managing full project lifecycles, from data preparation to model construction, evaluation, and visualization
Strong command of Python and SQL, with background in production-level coding and data analysis libraries
Knowledge of ML Ops, model development pipelines, and feature engineering approaches
Ability to manipulate data and build business-accessible models, including experience with Azure AI Search
Skilled in software development practices, version control systems (such as GitLab), and tracking tools (such as Jira)
Eagerness to explore new technologies, paired with strong problem-solving skills and a track record of delivering production-ready work
Comfortable working with the UNIX command line
Experience with Agile development approaches
Strong English communication abilities, at a B2+ level or higher

Nice to have

Understanding of Cloud Computing
Background in Big Data tools
Exposure to visualization tools
Skills in containerization tools