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Data Science Degree Jobs in Connecticut (NOW HIRING)

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience * 3 years in data analytics * 2 years programming experience ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Education Requirement Master's degree in Data Science preferred. Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent). Additional RequirementsLocation and Travel:

Gartner

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application ... While degrees in mathematics, computer science, engineering, or other quantitative fields are ...

Gartner

Sr Data Scientist

Stamford, CT

Lead data science projects in close collaboration with IT, Data Engineering, Application ... While degrees in mathematics, computer science, engineering, or other quantitative fields are ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application ... While degrees in mathematics, computer science, engineering, or other quantitative fields are ...

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All JobsData Science Degree JobsData Science Degree Jobs in Connecticut

Data Science Degree information

See Connecticut salary details

$35.7K

$116.8K

$186.9K

How much do data science degree jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data science degree 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 degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

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

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

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

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

What cities in Connecticut are hiring for Data Science Degree jobs?

Cities in Connecticut with the most Data Science Degree job openings:

Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,759 per year, or $56.1 per hour.

Lecturer, Statistics and Data Science

Yale University

New Haven, CT • On-site

Full-time

Posted 13 days ago

Yale University rating

8.2

Company rating: 8.2 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

149th of 627 rated colleges and universities

Job description

Description
The Department of Statistics and Data Science at Yale University is seeking applicants for a full-time teaching faculty position at the rank of Lecturer with an anticipated start date of July 1, 2027. Salary will be based on qualifications and experience. We are looking for candidates with strong teaching skills, a passion for teaching, and experience or interest in innovative pedagogy. Successful candidates will contribute creatively to the teaching and further development of our Statistics & Data Science programs, particularly those courses and experiences oriented towards data analysis and interdisciplinary collaboration. In addition to courses for Statistics & Data Science majors, this position will be involved in the teaching of courses in Statistics and Data Science for students of diverse backgrounds and interests throughout the university. The teaching load will be two classes per semester. More information about the department may be found at https://statistics.yale.edu
Qualifications
The appointee must hold a Ph.D. or equivalent degree or have completed all requirements for that degree by the time of hire.
Application Instructions
Interested candidates should submit the following materials online at https://apply.interfolio.com/191128
  • A cover letter expressing interest in the position
  • A teaching statement detailing teaching philosophy, experience, and the types of courses they are best suited to teach
  • A current curriculum vitae
  • Three letters of recommendation to be submitted electronically via Interfolio. At least two of these letters should explicitly address the candidate's teaching effectiveness, pedagogical style, and communication skills in undergraduate statistics and data science courses.
  • All teaching evaluations for up to the last five years
  • Optional materials could include evidence of teaching interest, experience, and effectiveness.

Questions about the application can be directed to Ms. Cheri Cercone, Faculty and Academic Affairs Assistant, at sds_chair@yale.edu.
Applications will be accepted until the position is filled. To ensure full consideration, please submit all materials by Oct 15, 2026.

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