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.
Join our team as a Senior Data Scientist and collaborate with some of EPAM’s largest clients!
Every business generates data, but transforming that data into actionable insights and a competitive edge requires expertise. In this role, you will design and implement advanced analytical models and tools that empower organizations to make informed, data-driven decisions, address current challenges, and prepare for future opportunities.
Responsibilities
- Analyze large volumes of structured and unstructured data using advanced analytical and machine learning techniques
- Develop, validate, and deploy descriptive and predictive models to drive business decisions
- Translate complex data analyses into actionable business insights and value
- Design and deliver high-quality data visualizations to communicate findings
- Collaborate cross-functionally with product managers, engineers, and other stakeholders to present data-driven recommendations
- Mentor and train team members and stakeholders on data science concepts and best practices
- Estimate, plan, and coordinate the delivery of mid-sized data science projects
- Evaluate and select appropriate data science tools, libraries, and solution architectures
- Propose and implement holistic data science solutions tailored to client needs
Requirements
- 3+ years of experience in data mining, statistics or machine learning
- Strong problem-solving skills and a data-driven mindset
- Solid foundation in applied mathematics, statistical analysis, and machine learning
- Excellent communication and presentation skills, including working proficiency in English
- Proficiency in SQL and relational databases
- Programming experience, preferably in Python
- Hands-on experience with data analysis tools and libraries (e.g., NumPy, SciPy, scikit-learn, pandas, matplotlib, R, SAS, SPSS, MATLAB)
- Experience with Big Data technologies (e.g., Spark, MLlib)
- Proficiency with at least one major cloud platform
- Experience deploying data science solutions to production environments
- Strong data visualization skills
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Applied Statistics or a related field
- Strong written and verbal English communication skills (B2+)
Nice to have
- Experience with NLP, text mining or computer vision
We offer/Benefits
- Dynamic, entrepreneurial 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
- Advanced wellbeing and CSR programs, recreation area
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