Senior Data Scientist

EPAM Systems; Colombia; On-site; COP 120,000,000 - 220,000,000; Full time

Job summary

EPAM Systems in Colombia is seeking a Senior Data Scientist to join a team that tackles meaningful, data-driven projects. You will design models, extract insights from complex datasets, and collaborate with cross-functional teams to meet objectives.

The role emphasizes analytical rigor, continuous learning, and practical application of modern technology, with opportunities to mentor juniors and contribute to strategic data initiatives.

Qualifications

• Minimum 3 years of relevant professional experience.
• Strong proficiency in Python for building data-driven models.
• Experience with Java for data-related applications.
• Solid foundation in mathematics, statistics, and computer science.

Responsibilities

• Design and implement analytical models to address business and technical objectives.
• Collaborate with cross-functional teams to deliver on time with quality.
• Review work and provide feedback to maintain rigorous analytical practices.
• Stay current with evolving data science trends and share knowledge with juniors.
• Document methodologies and findings for long-term knowledge sharing.
• Engage with stakeholders to define objectives and scope with accurate estimates.

Skills

Python programming

Java programming

AI concepts

Data science

Mathematics

Statistics

Computer science

English (B2)

Tools

Python

Java

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 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.