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Data Science Jobs in Vermont (NOW HIRING)

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Data Science information

See Vermont salary details

$39.9K

$130.5K

$208.9K

How much do data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data science in Vermont is $130,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $144,600.00 per year, depending on experience, location, and employer.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Vermont? The most popular types of Data Science jobs in Vermont are:
What are popular job titles related to Data Science jobs in Vermont? For Data Science jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Vermont look for? The top searched job categories for Data Science jobs in Vermont are:
What cities in Vermont are hiring for Data Science jobs? Cities in Vermont with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Vermont as of June 2026, with employment types broken down into 89% Full Time, and 11% Temporary. Highlights an 100% In-person job distribution, with an average salary of $130,502 per year, or $62.7 per hour.
Data Science Analyst

Data Science Analyst

University of Chicago Library

Hyde Park, VT • On-site

$74K - $100K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

109th of 537 rated colleges and universities

Job description

Department

BSD SUR - OHNS: Thirty Million Words - Tech


About the Department

The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence-based interventions designed to promote very young children's cognitive and social-emotional development, with a priority placed on that of children living in poverty. TMW Center interventions are designed to be overlaid onto existing health, education, and social service systems working at scale in a given community in order to meet families where they already are. Our goal is to effect population-level change in children's academic and developmental outcomes. To date, the TMW Center has three randomized controlled trial (RCTs) and an implementation study in active implementation, each amassing more data over time. In recent years the TMW Center's interventions and projects have become more complex and varied. These include launching an additional RCT, substantial piloting of new curricula, further analysis of its SPEAK scale, implementation of a broader messaging campaign, a community-wide demonstration project, and development of wearable technology, all of which have significantly increased the amount of data generated and needing to be analyzed. This increased volume of data and expanded lines of inquiry necessitate investment into the TMW Center's data systems and procedures to ensure the TMW Center can keep up with high quality and efficiency. To this end, we envision a Data Science Analyst role on the Research Analysis team that will further develop the TMW Center's data system and data organization processes and protocols to ensure consistency and quality, prepare for the large volume of anticipated incoming data, and produce quality, analyzable data sets. The ideal candidate is a detail-oriented thinker with experience in the organization and storage of data for research purposes and understanding of developmental and linguistic coding techniques. The TMW Center seeks candidates who are dynamic, collaborative, and curious.


Job Information

Data Science Analyst for Chicago, IL location. Develop and maintain all data storage/data management systems to ensure quality and completeness. Cleans, transforms, merges, and matches between large and complex research datasets using econometrics methods and causal inference techniques. Ensure secure data storage, guaranteeing regular backups and storage in compliance with HIPAA, current best practices, and study requirements. Develop pipelines, processes and protocols to automate or streamline the creation, cleaning, and preparation for analysis of data sets. Lead the research, development, planning, and execution of a comprehensive enterprise architecture for research in developmental psychology, linguistics and applied public health. Perform data analysis, insight synthesis, and presentation. Technological environment: Python; SQL; R; Tableau/STATA; data analysis, insight synthesis, and presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server.

Additional Responsibilities

Additional Responsibilities

Education:

  • Bachelor's degree in Information or Computer Science or related field plus 2 years of experience in data research required.

Required Skills:

  • 2 years experience with each: research techniques/methods including causal inference and econometrics; research in developmental psychology, linguistics or applied public health; Python; SQL; R; Tableau/STATA; data analysis, insight synthesis, and presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server. Asynchronous & live coding test required.

Working Conditions

  • Background check with review of conviction history required. Four days in office required. $74,922/yr-$100,000/yr + benefits (https://mybenefits.nfp.com/UChicago/benefits-guide/)

Application Documents

  • Resume (required)
  • Cover Letter (required)


When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Benefit Eligibility

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.


Pay Rate Type

Salary


Pay Range

$74,922.00 - $100,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Scheduled Weekly Hours

40


Union

Non-Union


Job is Exempt

Yes


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Posting Date

2026-05-13


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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