Data Scientist

EPAM Systems

Ciudad de México, PHonsitePosted Jul 24, 2026
Posting intelligenceActively listedReposted 5×, possible evergreen/ghost posting

Skills

databricksoraclepythonopenaiazure

About the role

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 least 3 years of relevant professional experience in data science or a similar area

Advanced knowledge of Cloud platforms, with Microsoft Azure preferred, including Data Explorer, Databricks, and Data Factory

Strong foundation in mathematical statistics, covering statistical modeling and inference, test design, Machine Learning, and predictive models

Hands-on experience with Data Mining and BI tools such as Python, R, Pentaho, and SAS

Solid proficiency with database management systems, including SQL for querying and data manipulation

Knowledge of AI tools applied to data science, such as Azure AI, OpenAI API, or similar platforms

Fluent English skills, both written and spoken, at a B2+ level or higher

Nice to have

Experience with Oracle, Data Mining techniques, and Pentaho for building and maintaining data-driven solutions

Certifications in the listed technical concepts to validate expertise in relevant areas

Experience in projects integrating generative AI models or LLMs into analytical workflows

Hands-on experience developing Deep Learning models for advanced predictive and analytical use cases

We offer

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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