EPAM is a leading general 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 seeking an experienced Data Scientist to join our team. In this role, you will design and develop analytical data solutions and models that enable the collection, extraction, and processing of large volumes of information, integrating Artificial Intelligence tools to enhance insight generation and data-driven decision-making.
Responsibilities
Collaborate with business experts to understand their challenges and operational needs, delivering solutions through analytical data models




Solve business problems by applying data science tools, including Machine Learning and AI
Analyze and model data, examining relationships between variables and correlations to derive deep insights and generate predictive models
Create variables that better represent model features, using technologies such as R or Python and scaling up to Deep Learning models
Organize and oversee the development activities of analytical data solutions
Design solutions while ensuring their development and deployment are delivered on time, within scope, with the required quality, and within budget
Develop the technical skills of the data science team through mentoring and knowledge sharing
Explore and implement generative AI tools and models to optimize analytical processes
Requirements
Bachelor's or Master's degree in Computer Systems Engineering, Actuarial Science, Computer Science, Mathematics, or a related field
At le

📌 Data Scientist (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México