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Join a forward-thinking company as a Lead Data Science Analyst, where you will leverage your expertise in R programming and machine learning to drive innovative analytics solutions. In this pivotal role, you'll guide the development of end-to-end machine learning use cases, ensuring the seamless deployment of models while collaborating with diverse teams. This position offers a unique opportunity to shape valuable consulting solutions for clients, enhancing their digital transformation journey. If you're passionate about data science and eager to make a significant impact, this role is perfect for you.
Data Science Analyst- R Programming Lead Analyst - Data Science
Company
ITL USA
Requisition ID
132226BR
Infosys is seeking a Lead Data Science Analyst with machine learning and strong R programming experience. The ideal candidate will work on productionizing machine learning models and guide the development team for implementing end-to-end machine learning use cases. The candidate will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. The role involves providing technology consulting to define appropriate Data Science and ML use cases and contributing to the development and deployment of innovative Analytics and AI solutions.
Required Qualifications:
Preferred Qualifications:
The role may involve extensive travel and prolonged sitting or working at a computer. Candidates should be capable of effective communication via telephone, email, and face-to-face interactions.
About Us
Infosys is a global leader in digital services and consulting, enabling clients across over 50 countries to navigate their digital transformation. With four decades of experience, we manage enterprise systems and guide clients through their digital journeys by leveraging AI-powered solutions and agile digital strategies. We foster continuous learning and innovation to enhance digital skills and expertise.
Infosys is committed to equal employment opportunities, regardless of race, color, sex, gender identity, sexual orientation, religion, national origin, pregnancy, veteran status, or disability.