About this role
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 .
#LI-DNI 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