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Remote Data Science Jobs in Vermont (NOW HIRING)

Northeast Kingdom Human Services

Data Scientist

Newport, VT · On-site +1

$81K - $110K/yr

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 ...

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 ...

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 ...

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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Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote 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 job categories do people searching Remote Data Science jobs in Vermont look for?

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

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

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Northeast Kingdom Human Services

Newport, VT • On-site, Remote

$81K - $110K/yr

Other

Medical, Dental, Life, Retirement, PTO

Posted 4 days ago

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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