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GenAI

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Job Summary

We are seeking a highly skilled Data Scientist with 6 to 8 years of experience to join our team. The ideal candidate will have expertise in Azure Open AI Service EDA Machine Learning OpenCV Artificial Intelligence Natural Language Processing Deep Learning AI-enabled chatbots and Python. Experience in Medicare & Medicaid Claims Claims and Payer domains is essential. This is a hybrid role with day shifts and no travel required.


Responsibilities

  • Lead the development and implementation of advanced data models and algorithms to solve complex business problems.
  • Oversee the design and execution of exploratory data analysis to identify trends and patterns in large datasets.
  • Provide expertise in Azure Open AI Service to enhance AI capabilities and solutions.
  • Develop and deploy machine learning models to improve decision-making processes.
  • Utilize OpenCV for image processing and computer vision tasks.
  • Implement artificial intelligence solutions to automate and optimize workflows.
  • Apply natural language processing techniques to analyze and interpret unstructured data.
  • Design and develop deep learning models for various applications.
  • Create and maintain AI-enabled chatbots to improve customer interactions.
  • Use Python for data manipulation analysis and model development.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Ensure data integrity and security throughout the data lifecycle.
  • Monitor and evaluate the performance of AI models and make necessary adjustments.

    • Qualifications

  • Possess a strong background in Azure Open AI Service EDA Machine Learning OpenCV Artificial Intelligence Natural Language Processing Deep Learning AI-enabled chatbots and Python.
  • Have extensive experience in Medicare & Medicaid Claims Claims and Payer domains.
  • Demonstrate excellent problem-solving and analytical skills.
  • Exhibit strong communication and collaboration abilities.
  • Show proficiency in handling large datasets and complex data structures.
  • Display a keen understanding of data privacy and security principles.

    • The Cognizant community:
    We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

    • Cognizant is a global community with more than 300,000 associates around the world.
    • We don’t just dream of a better way – we make it happen.
    • We take care of our people, clients, company, communities and climate by doing what’s right.
    • We foster an innovative environment where you can build the career path that’s right for you.

    About us:
    Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

    Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

    Disclaimer: 
    Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

    Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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