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Data Science Jobs in Bridgeport, CT (NOW HIRING)

Join our dynamic BTI Data Science team and help transform Gartner's research content & insights operation. In partnership with our PMO and IT organizations, you will help build the AI applications ...

Join our dynamic BTI Data Science team and help transform Gartner's research content & insights operation. In partnership with our PMO and IT organizations, you will help build the AI applications ...

Join our dynamic BTI Data Science team and help transform Gartner's research content & insights operation. In partnership with our PMO and IT organizations, you will help build the AI applications ...

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Support the end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of business impact * Partner with cross-functional teams to ...

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Identify, learn and apply emerging technologies in data science and its applications to novel cancer therapeutics discovery and development. * Apply and develop innovative analysis approaches when ...

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Identify, learn and apply emerging technologies in data science and its applications to novel cancer therapeutics discovery and development. * Apply and develop innovative analysis approaches when ...

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Identify, learn and apply emerging technologies in data science and its applications to novel cancer therapeutics discovery and development. * Apply and develop innovative analysis approaches when ...

This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights. • Write production-quality code for data ...

This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights. • Write production-quality code for data ...

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

Showing results 21-40

Data Science information

See Bridgeport, CT salary details

$38.1K

$124.8K

$199.8K

How much do data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science in Bridgeport, CT is $124,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $138,300.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Bridgeport, CT?

The most popular types of Data Science jobs in Bridgeport, CT are:

What are popular job titles related to Data Science jobs in Bridgeport, CT?

For Data Science jobs in Bridgeport, CT, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Bridgeport, CT look for?

The top searched job categories for Data Science jobs in Bridgeport, CT are:

What cities near Bridgeport, CT are hiring for Data Science jobs?

Cities near Bridgeport, CT with the most Data Science job openings:

Infographic showing various Data Science job openings in Bridgeport, CT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,796 per year, or $60 per hour.

Data Science Dev/Ops Engineer

Yale New Haven Health System Corp

Stratford, CT • On-site

$54.50 - $74.75/hr

Other

Posted 8 days ago


Yale New Haven Health rating

7.3

Company rating: 7.3 out of 10

Based on 232 frontline employees who took The Breakroom Quiz

301st of 898 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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