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.

We believe that the team you build is the company you build. Our offices are digital laboratories. Our clients are major global brands. We're always looking for talented teammates. Think you've got what it takes?

• Identify the business problems
• Find the right data and methods to address them
• Build and validating analytical models
• Present 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 analyzed 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

• 3+ years of experience working in the Data Science field
• 1+ years of experience leading delivery teams in the Data Science field
• 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
• Passion for learning new techniques and methodologies
• Willingness to go the extra mile with a strong work ethic
• Ability to handle strict deadlines and multiple tasks

• Data visualization skills
• NLP / text mining

• Dynamic, entrepreneurial, high speed, high growth corporate environment
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Unlimited access to LinkedIn learning solutions
• Competitive salary and various benefits
• Sport and social teams support, recreation area, advanced CSR programs