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 .
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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
- 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
- Data visualization skills
- NLP / text mining
- 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