Senior Data Scientist

Job Description

We are seeking a skilled Senior Data Scientist to join our remote team and support our data-driven decision-making processes. In this role, you will be responsible for conducting data analysis and providing data-driven insights, as well as developing machine learning models using Amazon SageMaker and other machine learning tools. You will work closely with cross-functional teams to develop and maintain data pipelines and workflows. If you have a passion for data science and are looking for a challenging and rewarding opportunity, we encourage you to apply. Responsibilities Conduct data analysis and provide data-driven insights to support decision-making processesDevelop machine learning models using Amazon SageMaker and other machine learning toolsCollaborate with team members from various disciplines such as data engineering, software engineering, and product management to develop and maintain data pipelines and workflowsProvide technical support to non-technical stakeholders and users to ensure data accuracy and consistencyDevelop and maintain data quality controls to ensure data accuracy and consistency Requirements Minimum of 3 years of experience in data science or a related fieldStrong understanding of data management, data modeling, and machine learning model developmentExperience with AI platform data labeling and machine learning toolsProficiency in Amazon Web Services (AWS) and its various data-related servicesExcellent communication and collaboration skills to work in cross-functional teamsFluent English language skills with an Upper-Intermediate level Nice to have Experience with Big Data technologies such as Hadoop, Spark, and HiveKnowledge of statistical analysis and data visualization tools such as R and TableauExperience with Python We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn