Senior Data Scientist

Role Summary

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 are seeking a Senior Data Scientist to join our dynamic Data Practice team and collaborate on EPAM's strategic projects .

Responsibilities - Identify the business problems

• Find the right data and methods to address them
• Build and validate 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

Requirements - 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)
• Skills in data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc
• Knowledge of 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

Nice to have - Data visualization skills

• NLP / text mining

We offer - Career development opportunities with a transparent career path

• Wide range of professional trainings, workshops, and mentoring programs plus unlimited access to LinkedIn Learning
• Learning resources and financial support for completing certification programs
• Christmas and Vacation bonus
• Corporate Health Insurance (basic and supplementary)
• Free yearly medical check-ups
• 25 days of vacation