Cognizant

Senior Data Scientist ( Remote)

Cognizant$90K — $135K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in cloud architecture and DevOps practices.
  • Proficient in AWS tools including CodePipeline, CodeDeploy, and CloudFormation.
  • Experience with Terraform for infrastructure as code.
  • Strong understanding of ML Ops workflows and technologies.
  • Excellent collaboration skills working with cross-functional teams.
  • AWS Certified DevOps Engineer or AWS Certified Solutions Architect preferred.
  • Proven track record of optimizing CI/CD pipelines.

Responsibilities

  • Design and implement end-to-end cloud architectures for secure application releases.
  • Establish infrastructure as code standards using Terraform and AWS CloudFormation.
  • Develop and maintain ML Ops architectures for reliable model deployment.
  • Coordinate with teams to translate requirements into cloud and DevOps designs.
  • Optimize CI/CD pipelines for multiple products to enhance deployment processes.
  • Create clear documentation and architectural diagrams for cloud deployments.
  • Evaluate and improve existing delivery pipelines and workflows.

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan with contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan
Full Job Description
Sr. Data Scientist

Serve as an Architect specializing in cloud native DevOps and ML Ops solutions using AWS developer tools, Terraform and Git in a hybrid work model. Design scalable automation for application delivery and machine learning workflows that enhance reliability, security and speed of software releases, supporting business innovation and positive societal impact through resilient digital platforms.

Responsibilities

-Design robust end to end cloud architectures that integrate AWS CodePipeline CodeDeploy CodeCommit CodeBuild and CloudFormation to deliver secure and highly automated application release workflows that improve deployment speed and quality across business critical systems.

-Define and implement standard patterns for infrastructure as code using Terraform and AWS CloudFormation enabling consistent reproducible and compliant environments that reduce manual effort and operational risk for development and operations teams.

-Develop efficient ML Ops architectures that streamline model training validation deployment and monitoring so that machine learning solutions move reliably from experimentation to production and deliver measurable value to customers and communities.

-Coordinate closely with application developers data scientists and operations teams to translate complex functional and nonfunctional requirements into practical cloud and DevOps designs that balance performance scalability security and cost efficiency.

-Establish and refine branching strategies and workflow conventions in Git repositories to maintain clean version control practices that support frequent changes traceability and collaboration in a hybrid work environment without disrupting delivery timelines.

-Optimize continuous integration and continuous delivery pipelines across multiple products by configuring automated builds tests security checks and approvals so that releases are predictable auditable and aligned with enterprise governance expectations.

-Create detailed architectural diagrams standards and documentation for cloud deployments pipelines and ML Ops processes ensuring that technical decisions are transparent reusable and easy to onboard for new team members and stakeholders.

-Evaluate existing delivery pipelines infrastructure configurations and ML workflows to identify bottlenecks and risks then propose pragmatic improvements that increase reliability resilience and resource efficiency across environments.

-Collaborate with platform security and compliance stakeholders to embed security by design in CodePipeline CodeDeploy and Terraform based solutions ensuring that encryption access controls and audit mechanisms protect sensitive data and services.

-Guide teams in effective use of AWS managed services and DevOps tooling by conducting design reviews sharing best practices and providing hands on support that helps project squads adopt automation and cloud capabilities with confidence.

-Monitor pipeline performance build times deployment success rates and ML model operational metrics then use data driven insights to tune architectures and processes for continuous improvement and sustainable long term operations.

-Contribute to enterprise wide reference architectures and reusable templates for AWS DevOps and ML Ops so that the organization scales innovation consistently and brings reliable digital solutions to market faster with reduced duplication of effort.

-Align architectural decisions with the company purpose and sustainability goals by favoring efficient resource usage resilient systems and ethical ML practices so that technology solutions positively impact clients employees and broader society.

Certifications Required

AWS Certified DevOps Engineer or AWS Certified Solutions Architect and Terraform certification preferred..

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*

Salary and Other Compensation:

Applications will be accepted until Aug 12, 2026,

The annual salary for this position is between $ 90,000 - $ 135,000 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.

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

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Join the vibrant team at Cognizant, a leading provider of information technology, consulting, and business process services. Cognizant is not just a company; it's a community where innovation, leadership, and diversity are valued and where every team member is encouraged to thrive.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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