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Data Science Jobs in Hamden, CT (NOW HIRING)

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

ACT Science Tutor

New Haven, CT · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

ACT Science Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Director, Data Engineering

Bethel, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

North Haven, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

East Haven, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

North Branford, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Woodbury, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Branford, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Cheshire, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Naugatuck, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Oakville, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Branford, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Fairfield, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Director, Data Engineering

Trumbull, CT · On-site

$184K - $230K/yr

  • Medical

  • Life

  • Retirement

Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring ...

Showing results 41-60

Data Science information

See Hamden, CT salary details

$37.3K

$122K

$195.4K

How much do data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science in Hamden, CT is $122,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,200.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 most commonly searched types of Data Science jobs in Hamden, CT?

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

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

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

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

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

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

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

Infographic showing various Data Science job openings in Hamden, CT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,025 per year, or $58.7 per hour.

Director, Data Engineering

subway

Shelton, CT • On-site

$184K - $230K/yr

Full-time

Medical, Life, Retirement

Re-posted 11 days ago


Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,050 frontline employees who took The Breakroom Quiz

98th of 106 rated fast food restaurants


Job description

Director, Data Engineering - Shelton, CT

 

Ready to build what’s next with one of the world’s most iconic brands?

Why Join Subway?

At Subway, we are not standing still. We are building.

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.

You will not just do the work. You will shape it.

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.

If you bring energy, accountability and a bias for action, you will fit right in.

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.

This is your chance to be part of what’s next.

About the Role:

The Director, Data Engineering is responsible for leading the design, development, and operation of enterprise data engineering platforms and pipelines that support analytics, reporting, data products, and downstream consumption. This role owns delivery execution, reliability, and scalability of data systems while ensuring alignment with enterprise architecture, security, and governance standards. The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

Responsibilities include but not limited to:

  • Own the data engineering roadmap aligned to data product and business priorities
  • Lead the design and build of scalable data pipelines (batch and streaming) and platform services
  • Ensure data ingestion, transformation, and delivery are reliable, observable, and performant
  • Drive modernization of data platforms and reduction of technical debt
  • Partner with Enterprise Architecture and Platform teams to align tooling, patterns, and standards; promote reusable frameworks across teams
  • Establish standards for data quality, observability, lineage, and documentation
  • Partner with Security, Privacy, and Compliance teams to ensure data protection and regulatory alignment
  • Collaborate with Data Product Managers to translate business outcomes into engineering priorities
  • Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data
  • Lead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring, coaching, and career development
  • Define and track KPIs (pipeline reliability, data freshness, SLAs, cost efficiency) and drive operational excellence across data platforms

Qualifications (some examples listed below):

  • 8–12 years of experience in data engineering or adjacent platform roles
  • 3–5 years of experience leading teams or enterprise-scale data capabilities
  • Bachelor’s degree required (Computer Science, Engineering, Data, or related field); advanced degree preferred
  • Deep understanding of modern data architectures (cloud data platforms, batch/stream processing)
  • Strong experience leading data engineering teams and platforms in a technology organization
  • Ability to influence across Product, Analytics, Platform, and Security; proven people leadership and delivery management skills
  • Experience operating cloud-based, distributed data platforms in complex, matrixed enterprise environments
  • Strong communication skills, executive presence, and a bias for ownership, reliability, and continuous improvement

What do we offer?

  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More…..

 

Compensation: The base pay range for this role is $184,500 - $230,600 annually

Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.


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