Senior Data Scientist

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

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
• Access to LinkedIn Learning solutions
• Competitive salary and various benefits
• Advanced wellbeing and CSR programs, recreation area