Senior Data Scientist

We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team.

In this role, you will leverage advanced statistical modeling, machine learning, and data analysis techniques to uncover actionable insights, build cutting-edge predictive models, and drive business impact. This is an opportunity to work with diverse datasets, cloud platforms, and innovative tools to solve complex challenges while collaborating with cross-functional teams.

Responsibilities

• Apply mathematical, statistical, and machine learning techniques to drive insights and support decision-making
• Utilize tools and frameworks like TensorFlow or PyTorch for predictive and prescriptive modeling
• Identify, validate, and leverage internal and external data sources to uncover patterns and opportunities
• Develop and refine hypotheses, exploring data within analytics sandboxes and evolving models over time
• Implement data manipulation and analysis using libraries like Pandas, NumPy, and Scikit-learn
• Collaborate with broader teams to ensure proper sourcing, cleaning, and preparation of data for analysis
• Manage and optimize datasets within relational databases using SQL and appropriate governance practices
• Create and present compelling data visualizations using tools such as Matplotlib, Seaborn, or Plotly
• Contribute to the organization’s data strategy by ensuring alignment with data management best practices
• Deploy machine learning models into production using cloud solutions like Amazon SageMaker and EC2
• Coordinate with engineers and stakeholders to implement scalable solutions for data workloads

Requirements

• Minimum 3 years of experience in data science, machine learning, or related fields
• Proficiency in Python, with experience in libraries such as Pandas, NumPy, and Scikit-learn
• Knowledge of machine learning frameworks like TensorFlow or PyTorch
• Skills in cloud platforms like AWS, including tools such as S3 and SageMaker
• Experience with big data technologies like Spark, relational databases using SQL, and Jupyter
• Familiarity with version control systems including Git
• Understanding of natural language processing (NLP) techniques and sentiment analysis methodologies
• Qualifications in open-source data science tools, libraries, and frameworks
• Exposure to data visualization best practices using Matplotlib, Seaborn, or Plotly
• Experience with data governance principles, ensuring compliance and quality

Nice to have

• Familiarity with Docker for containerization and deployment workflows
• Expertise in Snowflake for advanced analytics and data warehousing
• Capability to work with the Atlassian suite, including Bitbucket, JIRA, and Confluence
• Understanding of simulation, complex event processing, and scenario-based analysis

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn