Senior Data Scientist

EPAM Systems; Argentina; Remote; ARS 90,836,000 - 136,254,000; Full time

Benefits offered by this job

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and cert.

Job summary

EPAM Systems is seeking a Senior Data Scientist to join our team on meaningful data-driven projects. You will design and implement analytical models, extract insights from complex datasets, and collaborate with global teams to deliver high-quality solutions.

The role emphasizes Python and Java development, strong foundations in math and statistics, and fluent English. We offer international projects, opportunities for upskilling, and a supportive culture focused on growth and practical impact.

Qualifications

• A minimum of 3 years of professional experience in data science or related field.
• Strong background in data analysis, modeling and statistical methods.
• Proficiency in Python for building and deploying models.
• Experience with Java for data-related applications.

Responsibilities

• Design and implement analytical models that address business and technical objectives.
• Collaborate with cross-functional teams to ensure deliverables meet quality standards.
• Review work and provide constructive feedback to uphold analytical practices.
• Investigate and resolve complex analytical challenges throughout the project lifecycle.
• Support junior team members with knowledge sharing and mentorship.
• Plan scope and provide accurate time estimates for deliverables.
• Stay current with evolving trends and apply new approaches to daily work.
• Maintain documentation of methodologies and findings for knowledge sharing.
• Work with stakeholders to align completed work with expectations.

Skills

AI concepts

Data Science

Python

Java

Mathematics

Statistics

Computer Science

English (B2)

Job description

We are looking for a Senior Data Scientist to join our team. This role offers the opportunity to work on meaningful, data-driven projects within a collaborative and forward-thinking environment. You'll be part of a team that values analytical rigor, continuous learning, and the practical application of modern technology. If you're passionate about uncovering insights from complex data while contributing to impactful solutions, this position offers a strong platform for professional growth.ResponsibilitiesDesign and implement analytical models that address business and technical objectivesCollaborate with cross-functional teams to ensure deliverables are completed on time and meet quality standardsContribute to strategic discussions, offering input that helps shape the direction of data-focused initiativesReview work produced by fellow team members, providing constructive feedback to uphold strong analytical practicesInvestigate and resolve complex analytical challenges that arise throughout the project lifecycleSupport the growth of junior team members by sharing knowledge that strengthens their skillsTake part in planning discussions, contributing to scope definition and providing accurate time estimatesStay current with evolving trends in the field and apply valuable new approaches to daily workMaintain clear documentation of key methodologies and findings to support long-term knowledge sharingWork closely with stakeholders to establish clear objectives and ensure completed work aligns with expectationsRequirementsA minimum of 3 years of relevant professional experiencePractical knowledge of AI concepts and tools, applied to enhance analytical solutionsStrong background in Data Science, with the ability to extract meaningful insights from complex datasetsProficiency in Python for building and implementing data-driven models and solutionsExperience with Java for developing and integrating data-related applicationsSolid foundation in Mathematics, Statistics, and Computer Science to support rigorous analytical workFluent English communication skills at a B2 level or higherWe 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