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Data Science Jobs in Vermont (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Montpelier, VT · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Rutland, VT · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Burlington, VT · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Barre, VT · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Colchester, VT · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Vermont Information Processing

Senior Data Architect

Colchester, VT · On-site

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

VIP is seeking a Senior Data Architect with expertise in dimensional modeling to design, implement ... Science or related field * Minimum of 5 years experience in information technology with increasing ...

Vermont Information Processing

Senior Data Architect

Colchester, VT · Hybrid

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

VIP is seeking a Senior Data Architect with expertise in dimensional modeling to design, implement ... Science or related field * Minimum of 5 years experience in information technology with increasing ...

Green Mountain Transit

Transit Data Analyst

Burlington, VT

$53K - $63K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's Degree in Mathematics, Planning, Public Administration, Computer Science, or a related field; experience writing comprehensive documents and reports; ability to analyze large data sets and ...

Green Mountain Transit

Transit Data Analyst

Burlington, VT · On-site

$53K - $63K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's Degree in Mathematics, Planning, Public Administration, Computer Science, or a related field; experience writing comprehensive documents and reports; ability to analyze large data sets and ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Vermont

Data Science information

See Vermont salary details

$39.9K

$130.5K

$208.9K

How much do data science jobs pay per year?

As of Aug 14, 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.

Is a data scientist in high demand?

Yes, 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 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 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 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 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 August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution, with an average salary of $130,502 per year, or $62.7 per hour.

Data Engineer with Security Clearance

Thomson Reuters Special Services LLC

Burlington, VT • On-site

$112K - $135K/yr

Other

Re-posted 4 days ago

Job description

Job Description
Summary and Description Thomson Reuters Special Services (TRSS) is looking for a Data Engineer to support our Federal Law Enforcement customers. TRSS Data Engineers and Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset. TRSS supports the full range of Federal Law Enforcement missions including, but not limited to: Immigration Enforcement, Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. Outside of contract work, you may contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings. This opportunity is specifically for positions located on US Government customer sites in the Burlington, VT area. This is not a telework position. If you are passionate about the chance to put your skills to practice in support of Federal Law Enforcement, then we are looking for you! ​ About the Role A successful candidate must possess the following minimum qualifications. Please ensure your resume and application clearly demonstrate that you have: United States Citizenship (essential to comply with government contract requirements). Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment. Willingness to work full time, on-site, embedded at US Government offices in the Burlington, VT area. Bachelor’s or Master’s Degree in a technical field At least 3 years of relevant experience, including some combination of: Proficiency in at least one programming language (Python, Java, R, etc), including creating programs for ETL, data pipelines, and entity resolution Proficiency in multiple variants of SQL, including complex queries, table and view creation, and database performance tuning Experience with managing enterprise databases and warehouses, particularly MS SQL Server, Databricks, Snowflake Data modeling across disparate data sources with a variety of formats and structures Ability to interface directly with customers at all levels and be a representative of TRSS. Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to work both independently and as a member of a team. Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and deliver actionable results within required timeframes. Additional Desired Skills Experience with Cloud data platforms (Azure, AWS, Snowflake, etc.) Experience with formal SDLC (Software Development Life Cycle) procedures Experience with version control software and methodology, preferably Github About you:​ Preference will be given to candidates who possess the minimum qualifications and the following preferred qualifications. Please ensure your resume and application clearly demonstrate that you have: Current/Active government work suitability or security clearance. Experience working with law enforcement agencies. Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL. Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.

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