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Data Science Co Op Jobs in Connecticut (NOW HIRING)

Eaton

Supply Chain Co-Op

Windsor, CT · On-site

$25/hr

Job Summary The Supply Chain Co-Op at our Windsor CT Satellite location will be responsible for ... Conduct data analysis on material availability to identify shortages, inventory risks, and ...

New

Mpr Associates, Inc.

Summer/Co-op Engineer

East Lyme, CT

$1.0K - $1.4K/wk

Materials Science * Instrumentation & Controls * Civil/Structural * Software Engineering Duties ... Asset Management and Business Operations Improvement including data analytics, automation, machine ...

Zimmer Biomet

$15 - $20/hr

... the co-op session * Must be authorized to work in the U.S. without requiring employer sponsorship * Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

Zimmer Biomet

$15 - $20/hr

... the co-op session * Must be authorized to work in the U.S. without requiring employer sponsorship * Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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How much do data science co op jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data science co op in Connecticut is $116,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a data science co op?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

What kinds of projects or tasks can I expect to work on as a data science co op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the data science co op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

What are the most commonly searched types of Data Science jobs in Connecticut?

The most popular types of Data Science jobs in Connecticut are:

What are popular job titles related to Data Science Co Op jobs in Connecticut?

For Data Science Co Op jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Science Co Op jobs in Connecticut look for?

The top searched job categories for Data Science Co Op jobs in Connecticut are:

What cities in Connecticut are hiring for Data Science Co Op jobs?

Cities in Connecticut with the most Data Science Co Op job openings:

Data Science Co Op jobs near you
Infographic showing various Data Science Co Op job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $116,759 per year, or $56.1 per hour.

Data Science Dev/Ops Engineer

Yale New Haven Health System Corp

Stratford, CT • On-site

$54.50 - $74.75/hr

Other

Posted 2 days ago

New

Yale New Haven Health rating

7.3

Company rating: 7.3 out of 10

Based on 232 frontline employees who took The Breakroom Quiz

304th of 895 rated healthcare providers

Job description

Overview
To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values - integrity, patient-centered, respect, accountability, and compassion - must guide what we do, as individuals and professionals, every day.
ITS Lead Data Science Dev/Ops Engineer will be an experienced system administrator and DevOps engineer with aproven track record of managing distributed hardware and software environments, integrating emerging technologies and working within a collaborative development and analytics environment. The individual will be responsible for management of dedicated and virtual environments that run data science platforms using Kubernettes. The individual must have familiarity with both Linux and Windows environments.
EEO/AA/Disability/Veteran
Responsibilities
  • System Management /DevOps
    • Coordinates and supports Ubuntu Linux engineering and operations
    • Deploying, managing and administering Kubernetes
    • Manages container workloads (Kubernetes)
    • Develops and supports Infrastructure as code (Python, Ansible, Helm, GitLab)
    • Monitoring and alerting (Prometheus)
    • Coordinates and supports Nutanix operations (management of virtual servers)
    • Researches new technologies or methods to advance technical capabilities of the Co-op; Works with system owners to consult on system design and gather technical requirements fo rcomplex IT systems
    • Experience designing to high availability and disaster recovery requirements. This includes designing system across data centers, clusters and within data centers including failover testing
    • Ability to draft system documentation inclusive of KB articles, technical specifications, architecture diagrams
    • Knowledge of storage systems (NAS, SAN, AWS S3)
  • Data Management
    • Participates in the creation of data management plans for key projects
    • Develops data inventory for new data sets within the platform
  • Application Development
    • Assists with defining application use cases and requirements
    • Assists with the development and review of enterprise application architectures
    • Consults with team members related to healthcare database access, particularly for Epic-related data warehouse systems
    • Builds new tools to automate workflows
    • Ability to develop applications within a data science platform
  • Teamwork
    • Creates and maintains regular status reports
    • Attends weekly team meetings to discuss team and project related activities, issues, change, communications, and updates
    • Completes specific task activities as documented in work plans
    • Supports department with application and information systems knowledge
    • Promotes a team atmosphere that is conducive to the overall accomplishment of goals, schedules, and deadlines
    • Openly shares information with all team members
  • Documentation
    • Documents and maintains all required architecture and software comments and configures systems accordingly
    • Contributes to preparation of testing scripts and materials and performs unit, system, and integrated testing tasks
    • Assists with implementation and deployment plans and contributes information to change control process
    • Provides expertise and experience to the development of production environment readiness plan
  • Other
    • Provides training to other staff as appropriate
    • Helps coordinate interactions with vendors
    • Work closely with departmental staff to identify needs and benefits of implementing software solutions and strives to understand their needs

Qualifications
EDUCATION
  • Bachelor's Degree required, Master's Degree in Healthcare Administration, ITS, or related field preferred.

EXPERIENCE
  • Three to four years of experience in healthcare information technology. Seven to ten years prior experience in ITS, electronic health records or data science platforms. Prior experience in Healthcare or other regulated environment (such as financial services) preferred.

SPECIAL SKILLS
  • Strong background in Linux and Windows system administration.
  • Experience with deployment and maintenance of the Kubernetes platform.
  • Knowledge of Python and other data science tools.
  • Familiarity with Kerberos and or Active Directory configuration.
  • Knowledge of DevOps tools (Ansible) for deployment and configuration of infrastructure, container orchestration and implementation of security frameworks within a distributed environment for application deployments.

YNHHS Requisition ID
180233

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