Lead Data Scientist - EPAM Systems

Key Responsibilities

• Define and drive the data science strategy for complex, cross‑functional projects.
• Design, prototype, and productionize machine‑learning and deep‑learning models that solve business problems.
• Mentor and lead a team of data scientists and analysts, fostering best practices in code quality, experimentation, and model governance.
• Collaborate with engineering, product, and business stakeholders to translate requirements into scalable data pipelines using Spark and SQL.
• Implement and manage cloud‑based infrastructure (AWS) for model training, deployment, and monitoring.
• Communicate insights and model performance through clear visualizations and executive‑level presentations.

Requirements

• 5+ years of hands‑on experience in data science, with a proven track record of delivering production‑grade ML/DL solutions.
• Expertise in Python and its data‑science ecosystem (pandas, scikit‑learn, TensorFlow/PyTorch).
• Strong knowledge of big‑data processing frameworks such as Apache Spark and proficiency in SQL.
• Experience deploying models on AWS services (SageMaker, EC2, Lambda, S3) and managing CI/CD pipelines.
• Excellent problem‑solving, communication, and leadership skills, with the ability to mentor junior team members.