Senior Data Scientist

EPAM Systems Inc; México; A distancia; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certificate

LinkedIn Learning access

Volunteer opportunities

Descripción de la vacante

EPAM Systems Inc in Mexico is seeking a Senior Data Scientist to apply AI and data science expertise to transform messy, high-volume data into dependable insights for decision-making. You will collaborate across teams, document methods, and help guide planning while maintaining strong analytical standards.

The role involves building analytical models, collaborating with cross-functional partners, evaluating peer deliverables, and coaching junior colleagues.

Formación

• At least 3 years of professional data science experience.
• Strong knowledge of AI concepts and modeling tools.
• Excellent Python skills for building models.
• Java experience for data-focused applications.
• Solid foundations in mathematics, statistics, and computer science.

Responsabilidades

• Create and implement analytical models aligned with business and technical objectives.
• Collaborate with cross-functional partners to deliver on time and meet quality expectations.
• Document methods and findings to enable long-term knowledge sharing and governance.
• Coach junior colleagues through knowledge sharing that supports their growth.
• Engage stakeholders to define goals and confirm deliverables match expectations.

Conocimientos

Python

Java

Data interpretation

Statistical modeling

Educación

Mathematics & Statistics

Computer Science

Herramientas

AI/ML tools

Descripción del empleo

We are hiring a Senior Data Scientist to apply AI and Data Science expertise to transform messy, high-volume data into dependable insights for decision-making. You will collaborate across teams, document methods, and help guide planning while maintaining strong analytical standards. Submit your application to make an impact with data-driven solutions!ResponsibilitiesCreate and implement analytical models aligned with business and technical objectivesCollaborate with cross-functional partners to deliver on time and meet quality expectationsProvide input in strategic discussions to influence the direction of data initiativesEvaluate peer deliverables and offer actionable feedback to uphold analytical best practicesTroubleshoot and resolve challenging analytical problems throughout project deliveryCoach junior colleagues through knowledge sharing that supports their growthContribute to scope planning and produce reliable effort and timeline estimatesKeep up with new developments in the field and incorporate useful approaches into your workDocument key methods and findings clearly to enable long-term knowledge sharingEngage stakeholders to define goals and confirm deliverables match expectationsRequirementsMinimum 3 years of relevant professional experiencePractical familiarity with AI concepts and tools used to enhance analytical outcomesDemonstrated strength in Data Science and the ability to interpret complex datasets effectivelyPython proficiency for building and implementing models and data-driven solutionsJava experience for developing and integrating applications that work with dataStrong grounding in Mathematics, Statistics, and Computer Science for rigorous analytical workEnglish fluency at B2 (Upper-Intermediate) level or higher, both written and spokenWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.