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PySpark

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Job Summary

We are seeking a Data Scientist with 6 to 9 years of experience to join our team. The ideal candidate will have expertise in PySpark Statistics Azure Open AI Service EDA Airflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning and PyTorch. This role requires working from the office during day shifts with no travel required.


Responsibilities

  • Develop and implement data models using PySpark to analyze large datasets.
  • Conduct statistical analysis to identify trends and patterns in data.
  • Utilize Azure Open AI Service to build and deploy AI models.
  • Perform Exploratory Data Analysis (EDA) to uncover insights from data.
  • Manage and orchestrate data workflows using Airflow.
  • Apply OpenCV techniques for image processing and computer vision tasks.
  • Develop and deploy Artificial Intelligence solutions to solve complex problems.
  • Implement Natural Language Processing (NLP) models to analyze and interpret text data.
  • Design and train Deep Learning models using PyTorch.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
  • Provide actionable insights and recommendations based on data analysis.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Stay updated with the latest advancements in data science and AI technologies.

    • Qualifications

  • Must have strong experience in PySpark for data processing and analysis.
  • Should possess in-depth knowledge of statistical methods and their applications.
  • Must be proficient in using Azure Open AI Service for AI model deployment.
  • Should have hands-on experience in performing EDA to derive insights.
  • Must be skilled in using Airflow for workflow management.
  • Should have expertise in OpenCV for image processing tasks.
  • Must have experience in developing AI solutions for various applications.
  • Should be proficient in NLP techniques for text analysis.
  • Must have experience in training Deep Learning models using PyTorch.
  • Should have excellent problem-solving skills and attention to detail.
  • Must be able to work collaboratively in a team environment.
  • Should have strong communication skills to present findings effectively.

    • Certifications Required

  • Certified Data Scientist Microsoft Certified: Azure AI Engineer Associate PyTorch Developer Certification

    • 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.

    If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

    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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