We are seeking an experienced and proactive Senior Data Scientist to join our team. As a Senior Data Scientist, you will apply your expertise in advanced analytics, machine learning and statistical modeling to deliver impactful insights, optimize decision-making processes, and contribute to the development of innovative business solutions.
This role involves close collaboration with an onshore client team in a transitioning environment. A proactive attitude, problem-solving mindset and strong communication skills are essential to ensure seamless knowledge sharing and effective project delivery.

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Responsibilities

• Design, develop and deploy machine learning models and predictive analytics solutions using tools such as Python (e.g., Scikit-learn, TensorFlow, PyTorch) and Spark
• Analyze complex datasets to identify trends, uncover patterns and create advanced features to improve model performance
• Utilize cloud platforms like AWS (SageMaker, Lambda, S3) or GCP (Vertex AI, BigQuery) to build scalable and efficient data science workflows
• Apply statistical techniques to generate actionable insights, validate hypotheses and support key business decisions
• Implement scalable machine learning pipelines for production environments, ensuring high performance and reliability
• Work closely with data engineers to ensure datasets are prepared and optimized for data science workflows
• Create effective data visualizations and present findings to stakeholders using tools like Tableau, Matplotlib or Power BI
• Monitor deployed models to ensure long-term reliability and adapt solutions as new data becomes available
• Collaborate with the client team to acquire domain-specific knowledge and tailor data science solutions to meet business needs
• Experiment with cutting-edge algorithms, tools and techniques to optimize machine learning solutions and stay at the forefront of the field

• Advanced proficiency in supervised and unsupervised learning, deep learning and statistical modeling
• Extensive experience using Python for machine learning and statistical analysis and SQL for querying large datasets
• Strong hands-on experience with AWS (e.g., SageMaker, S3, Lambda) or GCP (e.g., Vertex AI, BigQuery)
• Familiarity with distributed data systems such as Spark or Databricks and experience working with large datasets
• Knowledge of modern machine learning pipelines, including automation and optimization for production environments
• Ability to translate complex technical concepts

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us

• EPAM is a leader in the fastest-growing segment (product development/digital platform engineering) of the IT industry. We acquired Just-BI in 2021 to reinforce our leading position as a global Business Intelligence services provider and have been growing rapidly. With a talented multinational team, we provide data and analytics expertise
• We are currently involved in end-to-end BI design and implementation projects in major national and international companies. We are proud of our entrepreneurial start-up culture and are focused on investing in people by creating continuous learning and development opportunities for our employees who deliver engineering excellence for our clients