EPAM is a leading integral 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 looking for a skilled Data Scientist to join our team. In this position, you will play a key part in shaping and delivering advanced data-driven solutions that tackle complex business challenges. Working alongside cross-functional teams, you will help build modern AI-powered products and foster innovation throughout the organization.

Responsibilities
- Create and develop data science solutions that support core business goals and strategic programs
- Construct, train,



and assess machine learning and AI models to address real-world scenarios
- Investigate, cleanse, and prepare large datasets to support accurate analysis and modeling
- Partner with engineering, product, and business teams to convert requirements into technical solutions
- Roll out models into production while safeguarding scalability, reliability, and performance
- Track model behavior and continuously refine solutions based on fresh data and feedback
- Present findings, insights, and recommendations clearly to both technical and non-technical audiences
- Help shape best practices, coding standards, and reusable components across the team
- Keep pace with the latest developments in AI, machine learning, and data science to bring fresh ideas into projects

Requirements
- A minimum of 2 years of applicable professional experience in data science, machine learning, or a similar field
- Advanced proficiency with Cl

📌 Data Scientist (México)
🏢 Epam Systems
📍 México