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Data Science Associate Jobs in Farmington, CT (NOW HIRING)

Deloitte

Lead Forward Deployed Engineer - AWS

Hartford, CT

$103K - $136K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Hartford, CT · On-site

$105K - $144K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Forward Deployed Engineer- AWS

Hartford, CT · On-site

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

CVS Health

Senior Analyst, Actuarial (ADP)

Hartford, CT · On-site

$79K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Use SQL for data engineering and Python for data science to transform data, perform analyses, and ... ASA or near-ASA (Associate of the Society of Actuaries) * Knowledge of ETL and ELT processes

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Data Science Associate information

See Farmington, CT salary details

$61K

$72.2K

$136.8K

How much do data science associate jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science associate in Farmington, CT is $72,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $63,100.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

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

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

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

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

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Farmington, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,167 per year, or $34.7 per hour.

2026 - 2027 Associate/Full Professor, Wu Tsai Institute and Partner Department(s) - Neurocomputation

Yale University

New Haven, CT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

66th of 619 rated colleges and universities

Job description

Description
The mission of Yale's Wu Tsai Institute (WTI) is to understand human cognition and explore human potential by sparking interdisciplinary inquiry. In this search, WTI invites exceptional candidates with expertise in computational areas to apply for a tenured endowed faculty position, at the Associate or Full Professor rank, to begin July 2027 or later. There is one opening available.
We seek applicants whose research program has made breakthroughs in computational modeling that advance theoretical understanding of the brain and cognition. Applicants should have a background in applied mathematics, computer science, data science, engineering, or related field and have research experience or interests at the interface of neuroscience and computation, in particular artificial intelligence and machine learning.
Successful candidates will receive a tenured appointment in one or more departments in the Faculty of Arts and Sciences, School of Engineering and Applied Science, and/or School of Medicine. WTI is dedicated to hiring, mentoring, and advocating for colleagues who foster excellence in our community through their research, teaching, mentoring, and service. We are eager to accommodate the needs of families and welcome applications from dual-career couples to this search or a combination of Yale searches.
Background: WTI was founded in 2021 by a historic gift from Joe Tsai and Clara Wu Tsai to reveal fundamental truths about the mind through the integrated study of the brain. Based at 100 College Street in New Haven, with research linkages across Yale campuses, WTI rests on three pillars that coordinate its research activities: the Center for Neurodevelopment and Plasticity, the Center for Neurocognition and Behavior, and the Center for Neurocomputation and Machine Intelligence. WTI enables interdisciplinary inquiry through fellowships for co-mentored postdocs, grad students, and undergrads; shared research facilities and services with cutting-edge technologies; collaborative grants to nucleate disruptive ideas; and regular conferences, workshops, seminars, and opportunities for professional development. WTI integrates approaches across disciplines through common mathematical, statistical, and computational frameworks. WTI fosters a welcoming environment that provides equal opportunity to people of a broad range of backgrounds and perspectives. For more information, please visit the WTI website: https://wti.yale.edu.
Qualifications
Applicants must have a PhD (or equivalent) at time of hire and hold a research faculty position or equivalent at a level of seniority appropriate for tenure at the time of the application.
Yale scientists are not eligible for this position.
Relevant fields in the past have included:
  • computational neuroscience
  • theoretical neuroscience
  • applied mathematics
  • data science
  • machine learning
  • computer science
  • artificial intelligence
  • biomedical engineering
  • electrical engineering

Application Instructions
WTI seeks outstanding applicants who advance understanding of cognition across scales, species, and methods from a broad range of disciplines.
Applications will be evaluated on a rolling basis for alignment with the Center for Neurocomputation and Machine Intelligence beginning December 1st and until the position is filled.
Applicants must submit the following materials for full consideration:
  • Application Form - Indicate your desired level of tenured appointment (Associate Professor or Full Professor) and broad area(s) of research.
  • Research Contributions and Plans - Describe your most significant scientific discoveries and accomplishments to date and the focus and goals of your future research program in a supportive environment like WTI. Address how this vision aligns with the mission of WTI to understand cognition through an interdisciplinary lense. (4 pages max, references can be included in a separate page)
  • Teaching, Mentoring, and Leadership - Describe your philosophy, experience, and plans for teaching and mentoring, including how you foster productive, fair, and welcoming research and learning environments. Describe your leadership experience and contributions, for example, improving your field(s) and/or institution. (2 pages max)
  • Curriculum Vitae - Include your most recent CV with links to publications (or website).

If you have any questions, please contact wti@yale.edu.

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