Experienced Full Stack Data Science Tools Administrator – Web & Cloud Application Development

Join Our Team and Accelerate Your Career as a Data Science Tools Administrator! Are you passionate about data science and looking for a challenging role that will help you grow professionally and personally? Do you have a strong background in data science tools and experience in managing complex data infrastructure? If yes, then we have an exciting opportunity for you! As a Data Science Tools Administrator at Synchrony, you will play a crucial role in building and managing our data science platform, ensuring its smooth functionality, performance, security, and compliance with IT policies. About Synchrony Synchrony is a premier consumer financial services company delivering one of the industry's most complete digitally enabled product suites. Our experience, expertise, and scale encompass a broad spectrum of industries, including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet, and more. We have been recognized as one of the best companies to work for in India, with a strong commitment to diversity, equity, and inclusion. Our company culture values flexibility, choice, and work-life integration, providing best-in-class employee benefits and programs that cater to overall well-being. About the Role This role will be part of the Data Architecture & Analytics group within the CTO organization. As a Data Science Tools Administrator, you will be responsible for managing Anaconda Enterprise, H2O, and Hadoop platforms, including security, migration, and upgrades. You will also be responsible for managing end-to-end platform and infrastructure requests with minimal direction from functional managers. Your expertise in data science infrastructure assets, such as Jupiter Notebooks, Python, R libraries, Spark, Livy, Anaconda, H2O, Driverless AI, Hive, and other Hadoop ecosystem components, will be essential in ensuring the smooth functioning of our data science platform. Key Responsibilities Manage Anaconda Enterprise, H2O, and Hadoop platforms, including security, migration, and upgrades. Manage end-to-end platform and infrastructure requests with minimal direction from functional managers. Knowledge and experience to implement and operate data science infrastructure assets, such as Jupiter Notebooks, Python, R libraries, Spark, Livy, Anaconda, H2O, Driverless AI, Hive, and other Hadoop ecosystem components. Knowledge and experience to manage Kubernetes, Dockers, and DevOps. Participate in capacity planning and performance testing to ensure Data Science Platform environments are adequately sized and configured to meet current and projected demand. Oversee administration guidelines for server upgrades, backups, patching, performance tuning, and security and administration of the application. Manage users, groups, and knowledge on integration with Active Directory and OKTA. Understand and propose improvements to underlying data models and infrastructure. Clearly communicate solutions to both technical and non-technical teams. Develop a set of best practices and share across user groups. Stay ahead of new data science capabilities and deliver internal training as needed to internal functional user groups. Desired Skills/Knowledge Good understanding and knowledge of data science tools like Anaconda Enterprise and H2O. Good knowledge of Pyspark, Data lake, and Hadoop components (HDFS, Yarn, Hive, Spark, Livy). Good experience with OKTA, IAM, and Active Directory. Good understanding of Kubernetes and Dockers. Good experience in Agile Methodologies. Good knowledge of Splunk and New Relic tools. Eligibility Criteria Bachelor's Degree with a minimum of 2+ years of Information Technology experience or in lieu of a degree, 4+ years of Information Technology experience. Minimum 2+ years of experience with data science tools such as Anaconda, H2O, Driverless AI, and Hadoop. Minimum 2+ years of experience with Kubernetes and Dockers. Minimum 2+ years of hands-on experience in maintaining, optimizing, resolving issues of Hadoop clusters, supporting business users, EDL batch processes, and real-time services. Minimum 2+ years of work experience in Agile Methodologies. Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. Why Join Synchrony? At Synchrony, we offer a dynamic and inclusive work environment that values flexibility, choice, and work-life integration. Our company culture is built on a strong commitment to diversity, equity, and inclusion, and we strive to create a workplace where everyone feels valued, respected, and empowered to grow professionally and personally. We offer best-in-class employee benefits and programs that cater to overall well-being, including flexible work arrangements, employee recognition programs, and opportunities for career advancement and upskilling. How to Apply If you are passionate about data science and looking for a challenging role that will help you grow professionally and personally, then we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. We look forward to hearing from you! Apply for this job