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EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.


This job is about turning (big) data into actionable knowledge, which requires a blend of scientific, problem solving, analytical, technical, and communication skills.


  • Aptitude for problem solving;
  • Data focused applied mathematics (statistical analysis, machine learning);
  • Decent communication / presentation skills (including working English fluency);
  • RDBMS/SQL knowledge;
  • Programming experience (Python preferred);
  • Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc;
  • Big Data stack; Spark / MLlib;;
  • Proficiency with at least one of the Cloud providers.;
  • Experience with Data Science solutions productionalization.;
  • Bachelor’s / Master’s Degree in Computer Science, Math, Applied Statistics or a related field;
  • A few years of experience in data mining, statistics or machine learning;


  • Identifying the business problems;
  • Finding the right data and methods to address them;
  • Building and validating analytical models;
  • Presenting the findings in a clear and informative way;
  • Convert large volumes of structured and unstructured customer data using advanced analytical solutions;
  • Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions;
  • Turn analysed data into actionable insights and business value;
  • Create high-quality data visualizations;
  • Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters;
  • Educate and train others on Data Science related matters.;
  • Estimate, plan and coordinate the delivery of moderate sized projects;
  • Evaluate and select Data Science tools and libraries;


  • We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge ;
  • Full access to cutting-edge tools and technologies;
  • Competitive compensation depending on experience and skills;
  • All-around Social package: professional & soft skills training, medical & family care programs, sports;
  • Relocation opportunities;
  • Free English classes;
  • Unlimited access to LinkedIn learning solutions;
  • Continuous experience exchange with experts and professionals worldwide;
  • Friendly team and comfortable working environment;
  • Engineering, corporate, and social events within and outside the Company;
  • Flexible working schedule;
  • Opportunities for self-realization;