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Data Science Jobs in Georgia, VT (NOW HIRING)

Beth Israel Lahey Health

Nurse Scientist

Burlington, VT · On-site

... data interpretation, and project design. * Integrates quality improvement methodologies and implementation science into nursing and operational initiatives. * Assists clinical teams in identifying ...

Department of Justice

Investigator

Burlington, VT · On-site

$62K/yr

One of the following types of education in a related field (e.g., Criminal Justice, Data Science, Public Health, Medical, Business) a Master's or equivalent graduate degree (such as an LL.B.); OR 2 ...

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All JobsData Science JobsData Science Jobs in Georgia, VT

Data Science information

See Georgia, VT salary details

$35.8K

$117.1K

$187.5K

How much do data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science in Georgia, VT is $117,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $129,700.00 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.
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What are popular job titles related to Data Science jobs in Georgia, VT?

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What cities near Georgia, VT are hiring for Data Science jobs?

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Infographic showing various Data Science job openings in Georgia, VT as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $117,091 per year, or $56.3 per hour.

Physical Science Technician

Internships | Texas A&M University Kingsville

Essex Junction, VT • On-site

$57K/yr

Full-time, Part-time

Posted 10 days ago

Job description

You will serve as a Physical Science Technician with the Department of the Interior, U.S. Fish and Wildlife Service, Region 5, Lake Champlain Fish & Wildlife Conservation Office, located in Essex Junction, VT.

GS-08 - $57,023 - $74,127

Qualifications:All qualifications must be met by the closing date of this announcement - 08/20/2026-unless otherwise stated in this vacancy announcement. Competitive candidates must also meet Time-in-Grade requirements as defined in 5 CFR 300, Subpart F.
For current Federal employees, if hours worked per week are not included on your resume, you must submit a non-award SF-50 as part of your application to be used to validate your work schedule and determine the amount of specialized experience that you will be granted. An award SF-50 will not be acceptable documentation for which to consider your amount of qualifying experience. For periods of time that reflect military service, the DD-214 or Statement of Service is sufficient to meet the work schedule requirement as the service dates will be reflected. For all other applicants who are not current federal employees, your resume must state either "full-time" (or "40 hours a week") or "part-time" with the number of hours worked per week to ensure proper crediting of specialized experience.

Minimum Qualification Requirements: To qualify for this position, you must meet the following minimum qualifications:
To qualify for this position at the GS-08 grade level:
Experience: To qualify, you must possess at least one full year of specialized experience equivalent to the GS-07 level in the Federal service (obtained in either the public or private sectors). Specialized experience is defined as demonstrated experience: (1) performing technical support in a team setting and leading others in dynamic field efforts to control aquatic invasive species (i.e. sea lampreys) through the use of aquatic pesticides (i.e. lampricides); (2) performing collection of primary field data for pesticide applications; (3) identifying and setting up complex equipment used at application sites; (4) measuring and documenting chemical and physical parameters of a stream throughout the duration of pesticide applications; and (5) calculating, monitoring, and adjusting proper concentrations of applied pesticides. You must include hours per week worked.


Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:This position does not allow substituting education for experience.Employment Type: OTHER

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