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

9+ years of experience in software engineering, specializing in Data Science
At least 1 year of relevant leadership experience
Proficiency in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations
Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP
Expertise in complete project delivery, from data preparation to model building, evaluation, and visualization
Proficiency in Python programming and SQL, with experience in production-level code and data analysis libraries
Familiarity with ML Ops, model development workflows, and feature engineering techniques
Capability in manipulating data and developing models accessible for business use, with experience in Azure AI Search
Competence in software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., Jira)
Enthusiasm for learning new technologies, with expertise in problem-solving and delivering production-ready solutions
Fluency in the UNIX command line
Familiarity with Agile development practices
Excellent communication skills in English, with a minimum proficiency level of B2+

Nice to have

Knowledge of Cloud Computing
Experience with Big Data tools
Familiarity with visualization tools
Proficiency in containerization tools