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Remote Data Scientist Jobs in Vermont (NOW HIRING)

Northeast Kingdom Human Services

Data Scientist

Newport, VT · On-site +1

$81K - $110K/yr

Data Scientist The Data Scientist plays a pivotal role in advancing organizational performance through data-informed decision-making and strategic analytics. This position supports operational ...

New

Vultus Inc

Databricks Engineer

Johnson, VT · On-site +1

Databricks Engineer Experience 3-6 Years Job Type Full-Time Job Location Hyderabad / Remote ... Collaborate with data scientists, analysts, and application teams. * Implement CI/CD practices for ...

New

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Vermont

Remote Data Scientist information

See Vermont salary details

$39.9K

$130.5K

$208.9K

How much do remote data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data scientist 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 is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Vermont?

The most popular types of Data Scientist jobs in Vermont are:

What are popular job titles related to Remote Data Scientist jobs in Vermont?

For Remote Data Scientist jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Vermont look for?

The top searched job categories for Remote Data Scientist jobs in Vermont are:

What cities in Vermont are hiring for Remote Data Scientist jobs?

Cities in Vermont with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Vermont as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,502 per year, or $62.7 per hour.

Data Scientist

Northeast Kingdom Human Services

Newport, VT • On-site, Remote

$81K - $110K/yr

Other

Medical, Dental, Life, Retirement, PTO

Posted 2 days ago

New

Job description

If you're looking for an opportunity to do meaningful work in your community, join the passionate, community-minded team at Northeast Kingdom Human Services (NKHS) is a 501(c)(3) private not-for-profit organization operating with the purpose of promoting a high quality, comprehensive community mental health program in Vermont's beautiful Northeast Kingdom. Our mission is to enrich communities and enhance the ability of individuals and families to improve their lives. NKHS is a Designated Agency contracted with the State of Vermont to provide the highest quality of service in the areas of adults with intellectual/developmental disabilities, children and youth with serious emotional disabilities, and adults with mental health and substance use challenges. We serve the populations of Caledonia, Essex, and Orleans counties through a wide variety of targeted programs for individuals of all ages. NKHS has employees providing case management, community and home supports, residential care, psychiatry, medication management, therapy, vocational supports, school based counseling, emergency care, and respite services. These services are provided annually to nearly 4,000 of our local community members, helping them overcome challenges and achieve health in mind, body, and spirit. Visit us at NKHS.org Check out Life in the NEK of Vermont!
Data Scientist
The Data Scientist plays a pivotal role in advancing organizational performance through data-informed decision-making and strategic analytics. This position supports operational excellence, quality improvement, and organizational effectiveness. The Data Scientist also provides leadership and oversight to the Data Analyst Team while promoting best practices in data management, statistical analysis, and a culture of data-driven decision-making throughout the organization.
Essential Duties and Functions
  • Provide data-driven insights to improve decision-making across operations and quality improvement initiatives.
  • Ensure alignment of analytical efforts with organizational goals.
  • Design and implement automated data pipelines and reporting frameworks that streamline routine analysis, improve data access, and facilitate timely decision-making.
  • Translate complex data findings into clear, data-driven recommendations that support operational improvements and quality enhancement strategies.
  • Create dashboards and visualizations to display key metrics and trends.
  • Contribute to the development and standardization of best practices for data analysis, statistical inference, and data management to ensure consistent, high-quality outputs.
  • Share knowledge and insights with teams to promote a culture of data-driven decision-making across departments.

Education and Experience
  • Master's degree required in Statistics, Analytics, Computer Science, or related field.
  • Three to five years of progressive experience in data analysis or related field.
  • Demonstrated proficiency with SQL and a modern programming language suitable for data analysis such as R, Python, or Julia.
  • Experience producing effective data visualizations, including both static plots and dashboards, for diverse audiences.
  • Preference for candidates with experience using R as well as dashboarding and data visualization tools such as ggplot2, Plotly, and Shiny.
  • Experience working with electronic medical record (EMR) systems as well as large administrative datasets.
  • Demonstrated experience with classical statistical methods (hypothesis testing, ANOVA, generalized linear models, multilevel modeling) as well as predictive modeling and machine learning methods.
  • Experience with program evaluation and impact assessment preferred, particularly in connection with non-profit or social impact organizations.

SALARY & BENEFITS
  • Annual salary: $81,600 - $110,400, depending on education and experience
  • Tuition & continuing education reimbursements and loan repayment program.
  • Health and dental insurance.
  • 403b retirement plan with Agency contribution and match.
  • Generous paid time off, 12 sick days and 12 paid holidays.
  • Outstanding employee wellness program
  • Exceptional benefits package including low-cost medical and dental, short-/long-term disability coverages, life insurance, employee assistance program, and additional optional benefits.

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