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Senior Data Analyst

Data Science, Python, Machine Learning Model Development, TensorFlow, SQL, Big Data

We are currently seeking a highly skilled Senior Data Analyst to join our remote team. In this role, you will be responsible for analyzing large datasets, designing and implementing machine learning models, and developing web-based applications. You will also collaborate with cross-functional teams to provide insights and recommendations on web analytics and user behavior. If you have strong technical skills and a passion for leveraging data to drive business growth, we encourage you to apply.

Responsibilities
  • Analyze and interpret large datasets to provide insights and recommendations on web analytics and user behavior
  • Design, implement and maintain machine learning models to support business growth
  • Develop web-based applications to visualize and communicate data insights to stakeholders
  • Collaborate with cross-functional teams to integrate data-driven insights into business decisions
  • Provide technical guidance and mentorship to junior members of the team
Requirements
  • 3+ years of experience in data analysis and machine learning model development
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
  • Expertise in Python programming and experience with data science libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow
  • Strong knowledge of machine learning algorithms and their applications
  • Experience with database technologies such as SQL, NoSQL, and Big Data solutions
  • Excellent communication and collaboration skills to work in cross-functional teams
  • Fluent English language skills with an upper-intermediate level
Nice to have
  • Familiarity with cloud computing platforms such as AWS, Azure, or GCP
  • Experience with natural language processing (NLP) and text analytics
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js
  • Experience with agile development methodologies
Benefits
  • 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