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Data Science Jobs in Washington, CT (NOW HIRING)

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

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 ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

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

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

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 ...

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 ...

Senior Data Engineering

Seymour, CT · On-site

$184K - $230K/yr

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 Washington, CT salary details

$37.4K

$122.2K

$195.7K

How much do data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data science in Washington, CT is $122,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,500.00 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 cities near Washington, CT are hiring for Data Science jobs?

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

Infographic showing various Data Science job openings in Washington, CT as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,246 per year, or $58.8 per hour.

Associate/Full Professor, Econometrics

Yale University

New Haven, CT • On-site

Full-time

Re-posted 25 days ago


Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

70th of 622 rated colleges and universities


Job description

Description
Yale University, Department of Economics and Department of Statistics and Data Science: Associate/Full Professor - We seek a candidate whose research bridges econometrics, computation, statistics and data science in the modern AI era. The successful candidate will be expected to conduct research and to teach courses in their area of specialization. The appointment is joint between the Economics Department and the Department of Statistics & Data Science, and the candidate will be expected to divide teaching and service responsibilities across both departments.
Qualifications
Applicants must show outstanding scholarly achievement and the Ph.D., or equivalent degree, must be completed.
Application Instructions
Please electronically submit a letter of interest, CV, research and teaching statements to https://apply.interfolio.com/178484. Applications will be reviewed on a rolling basis beginning January 5, 2026, with an anticipated start date of July 1, 2026, or July 1, 2027. If you have specific questions about the position for which you are applying, please contact Nicole Whitcher, Assistant to the Chair, (nicole.whitcher@yale.edu).

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