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We are seeking an experienced Senior Data Scientist to join our remote team working on a cutting-edge project in the field of data science. As a Senior Data Scientist, you will be responsible for designing and implementing machine learning models, developing and deploying scalable and reliable machine learning systems, and collaborating with cross-functional teams to deliver high-quality solutions. Join our team and contribute to the development of innovative solutions that will revolutionize the industry.
Responsibilities
- Design and develop machine learning models to solve complex business problems, ensuring scalability, reliability, and accuracy
- Collaborate with cross-functional teams to gather requirements, understand business needs, and develop solutions that meet customer expectations
- Develop and deploy machine learning systems using Amazon SageMaker and Amazon Web Services, ensuring high performance and scalability
- Conduct experiments and analyze data to validate and improve machine learning models
- Optimize and fine-tune machine learning models to improve performance and accuracy
- Stay up-to-date with the latest trends and advancements in machine learning and data science, and apply them to the project
Requirements
- 3+ years of experience in Data Science
- Strong proficiency in Amazon SageMaker and Amazon Web Services, enabling you to develop and deploy scalable and reliable machine learning systems
- In-depth knowledge of machine learning algorithms, deep learning models, and statistical analysis techniques
- Strong understanding of data structures, data modeling, and software architecture principles
- Ability to work with large datasets and design efficient data pipelines
- Excellent problem-solving skills and ability to troubleshoot complex issues
- Strong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teams
- Fluent spoken and written English at an upper-intermediate level or higher
Nice to have
- Experience with distributed computing frameworks such as Apache Spark and Hadoop
- Experience with natural language processing and computer vision
- Experience with Docker and Kubernetes for containerization and orchestration
- Experience with data visualization tools such as Tableau and Power BI
- Experience with Agile methodologies and project management tools
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