Senior Data Scientist

EPAM Systems; Argentina; A distancia; ARS 1.200.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Descripción de la vacante

EPAM Systems Inc is seeking a Senior Data Scientist to apply AI-driven methods and translate complex data into business insights. You will collaborate with stakeholders, estimate delivery efforts, and review team outputs to maintain high quality.

The role focuses on developing analytical models and advancing data-driven initiatives across functions. You will mentor juniors, define scope, and stay current with emerging techniques, documenting methodologies and findings for stakeholders.

Formación

• 3+ years of relevant professional experience.
• Strong Data Science expertise with the ability to uncover insights in complex datasets.
• Fluent English skills at B2 (Upper-Intermediate) level or above.

Responsabilidades

• Develop and implement analytical models that meet business and technical needs.
• Collaborate across functions to ensure delivery timelines and quality standards are achieved.
• Shape strategy by contributing ideas that guide data-driven initiatives.
• Review and validate colleagues’ work, giving constructive feedback to strengthen analytical practices.
• Resolve complex analytical challenges encountered during the project lifecycle.
• Support junior team members through mentoring and structured knowledge sharing.
• Assist with scope definition and provide accurate time estimates during planning.
• Track emerging trends and apply relevant new techniques to daily work.
• Produce and maintain clear documentation of methodologies and findings.
• Work with stakeholders to set objectives and confirm results meet expectations.

Conocimientos

Data Science

Python

Java

Math & Statistics

English (B2+)

Herramientas

Python libraries

Descripción del empleo

We are looking for a Senior Data Scientist to apply AI-driven Data Science methods and convert complex information into insights that support real business outcomes. You will work closely with stakeholders, plan and estimate delivery, and review team output to keep quality high. Apply today to contribute to impactful, data-focused initiatives!ResponsibilitiesDevelop and implement analytical models that meet business and technical needsCollaborate across functions to ensure delivery timelines and quality standards are achievedShape strategy by contributing ideas that guide data-driven initiativesReview and validate colleagues’ work, giving constructive feedback to strengthen analytical practicesResolve complex analytical challenges encountered during the project lifecycleSupport junior team members through mentoring and structured knowledge sharingAssist with scope definition and provide accurate time estimates during planningTrack emerging trends and apply relevant new techniques to daily workProduce and maintain clear documentation of methodologies and findingsWork with stakeholders to set objectives and confirm results meet expectationsRequirements3+ years of relevant professional experienceWorking knowledge of AI concepts and tools applied to improve analytical solutionsStrong Data Science expertise with the ability to uncover insights in complex datasetsPython proficiency for building, implementing, and operationalizing data-driven modelsJava experience for creating and integrating data-related applicationsSolid understanding of Mathematics, Statistics, and Computer Science to back rigorous analysisFluent English skills at B2 (Upper-Intermediate) level or aboveWe 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 LinkedIn