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Data Science Jobs in Washington, CT (NOW HIRING)

Pursuit Aerospace

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 ...

Aptino

Data Analyst - Pharma

Poughkeepsie, NY · On-site

We are seeking a detail-oriented Data Analyst with experience in the pharmaceutical, biotechnology, or life sciences industry to support data-driven initiatives across clinical, commercial, and ...

Robert Half

IT Director(Data)

Poughkeepsie, NY · On-site

$160K - $250K/yr

... computer science, data science, information systems, business administration, or a related discipline. • At least 7 years of experience in information technology, data and analytics, or a ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets ... Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor's Degree from an ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

Partner with Data Science and Analytics teams to operationalize models and AI workflows. * Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders. * Translate ...

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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 Jul 30, 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 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 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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
More about Data Science jobs
What cities near Washington, CT are hiring for Data Science jobs? Cities near Washington, CT with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Washington, CT as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,246 per year, or $58.8 per hour.

Associate Research Scientist in Biostatistics, Data Science Data Equity

Yale University

New Haven, CT • On-site

$59K - $59K/yr

Full-time

Re-posted 3 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

67th of 613 rated colleges and universities

Job description

Description
We are actively recruiting an Associate Research Scientist as part of the new schoolwide Public Health Data Science and Data Equity Initiative, with a primary appointment in the Department of Biostatistics.
The Associate Research Scientist will work with Dr. Bhramar Mukherjee, Ph.D, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics and Professor of Chronic Disease Epidemiology. The research involved will focus on analysis of electronic health records linked to biobanks, real-world healthcare data. There may also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. Involvement in training and mentoring and helping to organize an undergraduate summer program in biostatistics and data science will be an integral part of the position. The position is for a one-year term that is renewable based on availability of resources, satisfactory performance and progress.
Responsibilities include:
• Providing expert biostatistical/computational consultation and collaboration on study design, implementation, analysis and the preparation of protocols, grants, and manuscripts for projects related to real world healthcare data as part of the Public Health Data Science and Data Equity Initiative
• Coding and visualization in R/Python
• Planning, conducting and overseeing comprehensive statistical analysis of biobank data
• Creating digital ecosystems that enables external linkage and harmonization across global biobanks
• Publishing and presenting research results in peer-reviewed professional journals and at scientific conferences.
• Developing tools and processes that enable seamless integration and analysis of multiple biobanks by community researchers
• Helping with programs and educational initiatives related to public health data science
• Engage in novel biostatistical research related to electronic health records, selection bias, missing data, causal inference and machine learning
Additional information on the Yale School of Public Health, the Department of Biostatistics, and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:
About Us | Yale School Of Public Health
Biostatistics | Yale School of Public Health
Chronic Disease Epidemiology Department | Yale School of Public Health
Organization: Yale School of Public Health
Department: Biostatistics
Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week
Expected Start Date: As early as May 1, 2025
Qualifications
Qualifications:
• Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science or a related field.
• Demonstrated track record of research and publication.
• Excellent oral and written communication skills and the ability to work effectively with a wide range of constituencies in a diverse interdisciplinary team.
• Proficiency with statistical computing (e.g., R, Python or C/C++).
• Interest and expertise in large-scale data management, linkage and data integration.
• Demonstrated capacity to work both collaboratively and independently.
• Ability to handle complex topics and explain them well to practitioners and non-quantitative audience.
• Strong strategic, analytical, and problem-solving skills.
• Strong interpersonal, project leadership, and management skills to facilitate timely and professional deliverables.
• Previous mentoring and teaching experiences are desirable but not required.
• A minimum of 2-5 years of experience in a research statistician, collaborative quantitative data scientist role is preferred.
Application Instructions
To apply:
Applicants are asked to submit a (1) CV, (2) cover letter that addresses their specific interest in this position, (3) statement of research/professional accomplishments/interests and (4) the names and contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.
Questions regarding this position should be directed to: matthew.schlager@yale.edu

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