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Data scientist Manager

00068890511


Job Summary

The Data Scientist will design develop and deploy data driven solutions to solve complex business problems. This role involves applying advanced analytics machine learning and statistical techniques to extract insights from large and diverse datasets. The position also collaborates closely with engineering and product teams to deliver scalable models intuitive interfaces and intelligent applications that create measurable business value.


Responsibilities

Data Analysis and Modeling

Analyze structured and unstructured data to identify patterns trends and actionable insights. Develop validate and deploy statistical and machine learning models to support data driven decision making.

Machine Learning Development

Build and optimize machine learning pipelines covering data preprocessing feature engineering model training evaluation and monitoring.

Programming and Data Engineering

Write high quality maintainable code primarily using Python to implement data science solutions and integrate them into production systems.

Visualization and User Interfaces

Collaborate with frontend teams and contribute to the development of interactive user interfaces using modern UI components such as React to present insights and model outputs effectively.

Cloud and Platform Integration

Develop and deploy data science solutions on AWS leveraging cloud services for compute storage and model deployment.

Generative AI and Agentic Capabilities

Explore and implement generative AI based solutions and agent driven workflows to enhance automation intelligent decision support and advanced analytics capabilities.

Collaboration and Communication

Work closely with stakeholders engineers and product owners to translate business requirements into analytical solutions and clearly communicate findings and recommendations.

Required Technical and Professional Skills

Strong expertise in data science concepts machine learning algorithms and statistical modeling

Advanced proficiency in Python for data analysis and model development

Solid understanding of data visualization and frontend integration with experience in React components

Hands on experience with AWS for developing and deploying data science solutions

Exposure to generative AI and agent based systems is a strong plus

Excellent analytical thinking problem solving and communication skills


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 (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.

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: 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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