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Data Science Jobs in Hamden, CT (NOW HIRING)

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 ...

Lead Data Scientist

Plainville, CT · On-site

$144K - $198K/yr

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 ...

Data Scientist

Danbury, CT · On-site

$119K - $132K/yr

Linde Inc. Data Scientist Danbury, CT, United States req32332 What you will enjoy doing ... Must have a Master's degree or foreign equivalent in Computer Science,or a related field

You are one of the first three seats in a new US data science team, alongside a lead who owns risk analytics and an engineer who puts models into production. The work is internal-facing and it sits ...

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including Python and Tableau, to createvisualizations in order to clearly display system performance metrics ...

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including Python and Tableau, to createvisualizations in order to clearly display system performance metrics ...

Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

BI Teams * Data Scientists * Enterprise Architects * Platform Engineering Teams Outcome-Focused Delivery * Translate business goals into engineering priorities. * Deliver trusted datasets that ...

Showing results 21-40

Data Science information

See Hamden, CT salary details

$37.3K

$122K

$195.4K

How much do data science jobs pay per year?

As of Sep 8, 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.

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 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 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 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.

Is a data scientist in high demand?

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 jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,025 per year, or $58.7 per hour.

Senior Data Scientist (Hybrid Schedule)

Berlin, CT • Hybrid

Eversource Energy
Utilities • 5 - 10K employees

$124K - $137K/yr

Full-time

Re-posted 7 days ago


Eversource Energy rating

8.7

Company rating: 8.7 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

9th of 53 rated energy and utility


Job description

Eversource will not offer immigration-related sponsorship for this position (e.g., H-1B, O-1, J-1, TN, E-3, etc.). Applicants requiring visa sponsorship to start employment with Eversource will not be considered.

Eversource supports work-life balance by offering hybrid schedules for certain roles. Eligibility is based on job responsibilities, operational needs, nature of work and team dynamics. Current guidelines require employees to work at least three days in the office, including Tuesdays and Wednesdays, with the third day set by the employee and supervisor based on department needs. These guidelines apply to roles approved for remote work and are subject to change, based on managerial discretion and work performance. All applicants must be able to work up to five days in the office if needed (for example: emergencies, training, or other business needs) or should the policy change.
Role and Scope of Position:
This position is designed to help solve challenges Eversource faces in blue sky as well as grey sky days. In blue sky days, the individual will develop problem solving strategies and architect solutions. During grey sky days, the individual will work on using analytics help storm restoration, damage assessment and give the best situational awareness to crews helping restore power to thousands of Eversource customers. The individual should possess a sense of urgency, an inherent curiosity to learn facets of utility business, and should be equipped with modern machine learning tools to solve challenges.

Essential Functions:

  • Leads data science solution brainstorming and develop problem solving strategy
  • Works with IT teams to develop solution production strategy
  • Interfaces with teams across Eversource to understand data landscape and identify opportunities to leverage data streams from different groups
  • Develops robust model evaluation criteria, establishes success criteria for solution development and provides concrete instructions to data engineers and junior data scientists
  • Develops classifiers and tools leveraging machine learning, data regression, and rules-based models
  • Codes deliverables in tandem with the engineering team
  • Helps develop web applications which use the above developed ML models to provide business value
  • Supports roadmaps for Substation Data Analytics and support of Asset and Grid engineering and performance management
  • Supports in design and execution of Asset and Grid performance models, and Digitalization.
  • Works with SMEs within Eversource and overall industry, to help address the most complex issues
  • Supports in various application of intelligent overloading, dynamic ratings, failure mode and incipient faults, cyber and physical security enhancement, online testing/parameter estimation, performance monitoring and insights, opportunities in digital substations, leverage IED and SCADA data for operational problems prediction, or outage management, etc.

Technical Knowledge/Skill/Education/Licenses/Certifications:

Technical Knowledge/Skill:

  • Knowledge of electric power systems and data science applications in the energy-utility space
  • Knowledge of the complex industry trends, and advanced solutions
  • Capable of working in a multi-cultural environment driving team performance
  • Disciplined, structured, and high committed to the results
  • External customer focus
  • Able to work in project organizations, engage and motivate people in different cultures.
  • Proven ability to translate insights into business recommendations
  • Knowledge developing modern web applications

Education:

  • BS degree in Engineering, Data Science or related quantitative field.
  • Advanced degree preferred.

Experience:

  • 5-8 years of related experience
  • Experience in: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence. Academic, apprenticeship experience acceptable.
  • Experience with setting up cloud architecture and CI-CD tools
  • Experience with scripting languages such as R, Python, and shell scripts

Licenses & Certifications:

  • N/A

Working Conditions:

  • Must be available to work emergency restoration assignment as required.
  • Must be available to travel between MA/CT/NH as necessary.

Please submit a resume with your application.

#engajd

#LI-ES3

Competencies:

Build trusting relationships

Manage and develop people

Foster teamwork and cross-functional collaboration

Lead change

Communicate strategic vision

Create an engaged workforce

Focus on the customer

Take ownership & accountability

Compensation and Benefits:

Eversource offers a competitive total rewards program.Check out our careers site for an overview of our benefits programs. Salary is commensurate with your experience. This position is eligible for a potential incentive. The annual salary range for this position is:

$124,070.00-$137,860.00

Worker Type:

Regular

Number of Openings:

1

Emergency Response:

Responding to emergency situations to meet customers' needs is part of every employee's role. If employed, you will be given an Emergency Restoration assignment. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location.


EEO Statement:

Eversource Energy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status.


VEVRRA Federal Contractor



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