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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 Governance Manager

University of Vermont Health - UVM Medical Center

Burlington, VT

Full-time

Posted 6 days ago

Job description

Job Summary:
The Data Governance Manager leads UVM Health's enterprise data governance program within the Enterprise Analytics department. This role is responsible for establishing, maintaining, and operationalizing data standards, policies, metric definitions, and data stewardship processes that ensure the organization's data is trusted, well-defined, and consistently used. The Data Governance Manager develops and maintains the Enterprise Analytics SharePoint site — the organization's one-stop resource for report catalogues, data and metric definitions, data access requests, and governance documentation — and ensures that metric definitions and reporting standards are adhered to across all analytics deliverables.

Education:
•    Bachelor's degree in Health Informatics, Data Science, Business Administration, or related field required; Master's preferred.

Experience:
•    5+ years of experience in data governance, data management, or health informatics.
•    Experience developing and maintaining enterprise data governance frameworks, data dictionaries, or data catalogs.
•    Experience with SharePoint site development and content management.
•    Familiarity with Epic data environments and Power BI, Tableau, or other data visualization tools governance preferred.
•    Experience working in agile product delivery preferred.

Apply