Sr. Data Scientist - ML and AI

This is an onsite position open to any qualified applicant in the United States.

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

Location: Omaha, NE

Lead the development and implementation of advanced statistical models and machine learning algorithms to solve complex business problems

Oversee the design and execution of exploratory data analysis (EDA) to uncover insights and patterns in large datasets

Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization

Apply Airflow for orchestrating complex data workflows and ensuring seamless data processing

Develop and maintain knowledge graphs to improve data connectivity and retrieval

Implement ML Ops practices to streamline the deployment and monitoring of machine learning models

Apply machine learning techniques to build predictive models and improve decision-making processes

Leverage Cloud Auto ML for automated machine learning model development and optimization

Design and develop AI-enabled chatbots using Dialog flow to enhance customer interactions

Apply OpenCV for computer vision tasks and image processing applications

Drive the application of artificial intelligence and natural language processing to solve real-world problems

Conduct deep learning research and development using frameworks like PyTorch and TensorFlow

Develop and deploy AI solutions for chatbot applications to improve user experience

Apply R Statistical Package and Python for data analysis and model development

Implement search engine optimization strategies to improve data visibility and accessibility

• Strong background in Statistics and experience with Azure Open AI Service
• Hands-on experience in EDA Airflow and knowledge graph development
• Proficient in ML Ops machine learning and Cloud Auto ML
• Experience with Dialog flow OpenCV and artificial intelligence applications
• Skilled in natural language processing and deep learning frameworks like PyTorch and TensorFlow
• Experience in developing AI-enabled chatbots and using R Statistical Package and Python

Certifications Required: Certified Data Scientist Azure AI Engineer Associate TensorFlow Developer Certificate.

Applications will be accepted until May 25, 2025

The annual salary for this position is between $ 81,848 - $ 156,500 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits 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.

Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.

Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to demonstrate the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.