Senior Data Scientist ( Remote)

Cognizant

Charlotte, MI(remote)

Apply

JOB DETAILS

SALARY

$90,000–$135,000 Per Year

SKILLS

Access Control, Amazon Web Services (AWS), Architectural Services, Automation, Best Practices, Business Solutions, Business Support, Cloud Architecture, Cloud Computing, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cryptography, Data Science, DevOps, Documentation, Energy Efficiency, Enterprise Architecture, Git, Incentive Programs, Information/Data Security (InfoSec), Machine Learning, Machine Tool, Metrics, Model Validation, Operational Strategy, Operations Processes, Performance Analysis, Process Improvement, Programming Tools, Reliability Engineering, Risk, Risk Analysis, Security Compliance, Security Design, Security Software, Software Administration, Software Development, Source Code/Configuration Management (SCM), Standards Development, Stock Purchase Plans, Sustainability, Test Automation, Traceability

LOCATION

Charlotte, MI

POSTED

1 day ago

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*

We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.

Salary and Other Compensation:

Applications will be accepted until Aug12, 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.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

About the Company

Cognizant

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, is ranked 230 on the Fortune 500 and is consistently listed among the most admired companies in the world.

We're driven by a passion to help our clients build stronger, more agile and more innovative businesses.

Cognizant enables global enterprises to address a dual mandate: to make their current operations as efficient and cost-effective as possible and to invest in innovation to unleash new potential across their organizations.

What makes Cognizant unique is our ability to help clients meet both challenges. We help them enhance productivity by ensuring that vital business functions work faster, cheaper and better. And, our ability to conceptualize, architect and implement new and expanded capabilities allows clients to transform legacy models to take their business to the next level.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Computer/IT Services

FOUNDED

1994

WEBSITE

https://www.cognizant.com

Resume Resources

Free Resume Templates Free Resume Builder