ZipRecruiter

Log In

1

Statistics Data Science Jobs in Connecticut (NOW HIRING)

Gartner

Data Analyst

Stamford, CT · On-site +1

Education: Bachelor's Degree, preferably with a quantitative concentration (e.g., statistics, data science, mathematics, engineering, operational research, computer science, or economics)

Berkley

Actuary/Data Scientist

Greenwich, CT

This role will challenge the status quo, apply modern data science and AI approaches, and translate ... Proficient in probability and statistics, with experience working with large and complex data flows ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

Munich Re

Senior Data Scientist

Hartford, CT

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

ClifyX

GEN AI Data Scientist Engineer

Hartford, CT · On-site

... Science • Expertise in Programming and Data Engineering Skills • Expertise in Statistics and Analytical Skills • Intermediate experience with Generative AI concepts and implementation • ...

STI

Data Scientist

Hartford, CT · On-site

... and statistical analysis • Providing insights and recommending changes based on data findings Knowledge, Skills, and Ability Data Science • Experience with machine learning, AI, and cognitive ...

Berkley

Actuary/Data Scientist

Greenwich, CT

This role will challenge the status quo, apply modern data science and AI approaches, and translate ... probability and statistics, with experience working with large and complex data flows and ...

previous pagenext page

Showing results 21-40

All JobsStatistics Data Science JobsStatistics Data Science Jobs in Connecticut

Statistics Data Science information

See Connecticut salary details

$43.8K

$157K

$231.6K

How much do statistics data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistics data science in Connecticut is $156,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,700.00 per year, depending on experience, location, and employer.

What jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative researcher. These jobs typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often within technology, finance, healthcare, or consulting industries.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.
What are popular job titles related to Statistics Data Science jobs in Connecticut? For Statistics Data Science jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in Connecticut look for? The top searched job categories for Statistics Data Science jobs in Connecticut are:
Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $156,979 per year, or $75.5 per hour.

Part-Time Faculty of Business Analytics - BAT 3302-1 - Data Science

Trinity College Dublin

Hartford, CT • On-site

Part-time

Posted 9 days ago

Job description

Job Family Group:
Faculty
Time Type:
Part time
Department/Office:
Finance and Business Analytics
Exemption Status:
Exempt
Job Description:
Trinity University is seeking a Part-Time Faculty for the Fall 2026 semester to teach the following course(s):
BAT3302-001: Data Science
DUTIES AND RESPONSIBILITIES
Typical responsibilities of part-time faculty members include but are not limited to:
  • Developing the course syllabus and ensuring that the syllabus meets departmental and University standards
  • Designing and delivering lectures, discussions, in-class activities, and assignments focused on the storage, retrieval, and analysis of data sets. This course places strong emphasis on data wrangling using Python and the practical application of specialized software, computational techniques, and algorithms to real-world business and analytical scenarios. The ideal candidate combines academic grounding in data science methods with hands-on industry experience applying these tools to solve practical problems.
  • Grading assigned papers, quizzes, and exams
  • Assigning early, midterm, and final grades in compliance with University deadlines
  • Maintaining office hours as directed by the department chair or program director
  • Making student accommodations as determined by the Office of Student Accessibility Services
  • Adhering to all instructional policies as published in the Faculty Handbook and the Courses of Study Bulletin

QUALIFICATIONS
EDUCATION
Required:
  • Master's degree in Data Science, Business Analytics, Computer Science, Statistics, or a closely related field

Preferred:
  • Ph.D. in Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or a closely related field

EXPERIENCE
Required:
  • Professional or applied experience in data analysis, data wrangling, or working with large data sets
  • Proficiency in Python

Preferred:
  • Prior university-level teaching experience, particularly in analytics or data science courses
  • Evidence of impactful teaching practice demonstrated through submission of sample teaching materials and student evaluations.
  • Industry experience applying data science techniques to business decision-making
  • Familiarity with data visualization tools and learning management systems (e.g., Canvas, Blackboard)

KNOWLEDGE/SKILLS/ABILITIES
The ideal candidate will demonstrate:
  • Mastery of the relevant subject matter
  • Ability to deliver engaging lectures, discussions, or in-class activities
  • Ability to design rigorous and meaningful assignments
  • Commitment to the liberal arts mission of Trinity University

HOW TO APPLY
For internal applicants, please apply through Workday using the 'Jobs Hub' application, see instructions provided here.
For external applicants, when starting the application, select "Apply Manually." Only complete fields with a red asterisk, which are required. Please create your Workday application account using a personal email address, as you will need to maintain access to this account throughout the pre-hire process, if selected.
For all applicants, you do not need to complete the "(Work) Experience," "Education," "Certifications," or "Languages" fields - these details will be provided in your curriculum vitae.
In the "Application Documents" field, please upload the following four files, each as a separate pdf file [note: a maximum of five (5) files can be uploaded]:
File 1: Cover letter
File 2: Curriculum vitae or resume
File 3: Names and contact information for three professional references
File 4: Portfolio of teaching materials and student evaluations
CONTACT INFORMATION
All inquiries and questions should be addressed to Diana Young, Department Chair, dyoung1@trinity.edu.
Please ensure that all required documents are uploaded prior to submitting an application. If you have revisions needed to an application already submitted or need help submitting an application, please contact Human Resources at 210-999-7507 or email humanresources@trinity.edu.

Apply