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Full Time Data Science Jobs in Connecticut (NOW HIRING)

Lead Data Scientist

Plainville, CT · On-site

$144K - $198K/yr

... on a full-time basis. * Must be able to perform work subject to ITAR/EAR regulations. Preferred Qualifications: * Bachelor's degree in data science or related field preferred * Master's degree ...

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

... on a full-time basis. * Must be able to perform work subject to ITAR/EAR regulations. Preferred Qualifications: * Bachelor's degree in data science or related field preferred * Master's degree ...

Guardian created theData Science Lab (DSL)to reimagine insurance in light of emerging technology ... Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

Job details Job Role Data Science Consultant 1 Career Role Analyst - Data Science Work Location ... Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the ...

Clinical Scientist

Guilford, CT · On-site

$128K - $147K/yr

... or data science in industry setting * Experience working with MRI data and imaging datasets ... This is a full-time, onsite position based out of Hyperfine's facility in Guilford, CT. * Travel up ...

Clinical Scientist

Guilford, CT · On-site

$128K - $147K/yr

... or data science in industry setting * Experience working with MRI data and imaging datasets ... This is a full-time, onsite position based out of Hyperfine's facility in Guilford, CT. * Travel up ...

This is a full-time, 40-hour-per-week internship following a hybrid schedule, with two days ... CE Data Science Project To provide CE with more actionable data for making better and more ...

This is a full-time, 40-hour-per-week internship following a hybrid schedule, with two days ... CE Data Science Project To provide CE with more actionable data for making better and more ...

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Full Time Data Science information

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

Is 30 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is generally not a barrier if relevant skills and a strong portfolio are developed.

Is 40 too late for data science?

Full-time data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Are data science jobs still in demand?

Data science jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What jobs in the US pay 300,000 a year?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and industry expertise. These positions often require advanced degrees, strong programming skills, and leadership responsibilities, typically found in large corporations or tech firms.
What are the most commonly searched types of Data Science jobs in Connecticut? The most popular types of Data Science jobs in Connecticut are:
Infographic showing various Full Time Data Science job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Lead Data Scientist

Lead Data Scientist

Pursuit Aerospace

Plainville, CT • On-site

$144K - $198K/yr

Full-time

Medical, Retirement, PTO

Posted 29 days ago


Pursuit Aerospace rating

7.8

Company rating: 7.8 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

206th of 485 rated machine equipment manufacturers


Job description

About Us:

As a global manufacturer of complex aircraft engine components, Pursuit Aerospace is founded on a commitment to relentless, continuous, operational improvement and extraordinary customer service. We pride ourselves on competitive cost structure, exceptional on-time delivery, and industry-leading quality.

Pursuit cultivates long-term relationships with our customers around the world through respect, teamwork, technology, and trust. We are driven to develop industry leading process innovations and manufacturing techniques on behalf of our customers.

About the Opportunity:

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer service. The lead data scientist will function like a forward-deployed engineer who takes a supply chain problem from ambiguity to financial impact: framing the problem, shaping the data and models, building and iterating fast, and owning the solution end to end. This role will work shoulder-to-shoulder with the business, move at its pace, and turn large, messy operational data into robust models, dashboards, and AI-powered tools that change decisions and outcomes.

Location:

Remote in the U.S., and travel 10-20%.

Responsibilities:

  • Deliver high-impact analytics: partner with cross-functional leaders to scope the problems and ship solutions that move real metrics: inventory, on-time delivery, and cost.
  • Build end-to-end products: build products independently and iterate quickly based on business feedback including data pipeline and snowflake tables, forecasting and time-series models, inventory and clear-to-build analytics, dashboards, and AI-powered tools.
  • Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology
  • Engineer trustworthy data: turn large, messy operational data into well-structured, trusted datasets, and develop continuous improvement framework to enhance data quality and integrity
  • Drive decisions and adoption: translate analytical results and tools into clear, decision-ready recommendations and drive adoption across the business

Required Qualifications:

  • Bachelor’s degree required
  • 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes
  • 2+ years in SQL, Python, Machine learning modeling, and time-series analytics
  • Must be authorized to work in the U.S. on a full-time basis without sponsorship now or in the future. The Company cannot offer employment to visa holders who require employer sponsorship in the future or cannot work now on a full-time basis.
  • Must be able to perform work subject to ITAR/EAR regulations.

Preferred Qualifications:

  • Bachelor’s degree in data science or related field preferred
  • Master’s degree preferred
  • Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform
  • Effective AI-assisted product development and proficient in using AI to plan, build, and quality-check code, and can critically evaluate, debug, and improve what it generates
  • Supply chain analytics knowledge such as demand forecasting, demand sensing, inventory management and clear-to-build reporting
  • Aerospace and/or manufacturing experience
  • Familiarity with ERP systems and hands-on experience with purchase order, production order, and inventory data

Working Conditions:

  • Requires mobility in a manufacturing plant environment while using Personal Protective Equipment.
  • Must be able to frequently sit, stand and walk.
  • Must be able to lift and carry up to 15 pounds.
  • Must be able to have prolonged periods sitting at a desk and working on a computer.
  • Must be able to travel between locations or to suppliers up to 25% of time.

Acknowledgements:

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.

Benefits:

Pursuit Aerospace also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements, among other things.

Equal Opportunity Employer:

Pursuit Aerospace is an Equal Opportunity Employer. We adhere to all applicable federal, state, and local laws governing nondiscrimination in employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.




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