Junior Data Scientist
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| Company Name | EPAM Systems |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Belarus |
| Qualifications | None / No Formal Education |
| Experience | No Experience / Fresh |
Job Overview
EPAM Systems is seeking a Junior Data Scientist to join their team in Belarus. This entry-level position is an excellent opportunity to contribute to AI transformation engineering, leveraging data to drive innovation and measurable value for clients.
Company Overview
EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners and employees. EPAM is proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world. Learn more at www.epam.com.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: No Experience / Fresh
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing large datasets for analysis.
- Apply statistical methods and machine learning algorithms to solve business problems.
- Develop and implement data models and algorithms under guidance.
- Contribute to the design and development of data-driven solutions.
- Prepare reports and visualizations to communicate findings effectively.
- Collaborate with senior data scientists and engineers on various projects.
Requirements
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis.
- Familiarity with programming languages like Python or R.
- Eagerness to learn and apply new data science techniques.
- Ability to work effectively in a team environment.
- Good communication skills to present findings.
Benefits
- Opportunity to work with cutting-edge AI transformation technologies.
- Mentorship and growth opportunities in a global leading company.
- Collaborative and innovative work environment.
- Competitive compensation and benefits package.
- Access to professional development programs and training.
- Be part of a team recognized as a Most Loved Workplace.