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Remote Data Science Jobs in Vermont (NOW HIRING)

General Motors

Senior AI/ML Engineer

Montpelier, VT · On-site +1

$105K - $145K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

Milliman

Data Engineer (MedInsight)

South Burlington, VT · On-site +1

$93K - $177K/yr

Bachelor's degree in computer science, engineering, information systems, or related field; or ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Vermont

Remote Data Science information

See Vermont salary details

$23.3K

$103.5K

$197.5K

How much do remote data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data science in Vermont is $103,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,459.00 and $143,549.00 per year, depending on experience, location, and employer.

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 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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace 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 eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

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 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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
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 are popular job titles related to Remote Data Science jobs in Vermont? For Remote Data Science jobs in Vermont, the most frequently searched job titles 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:
Remote Data Science jobs near you
Health Program Data, Performance, Reporting & Systems Lead (Vermont REMOTE)

Health Program Data, Performance, Reporting & Systems Lead (Vermont REMOTE)

ICF International, Inc.

Burlington, VT • On-site, Remote

Full-time

Posted 15 days ago

Job description

DATA, PERFORMANCE, REPORTING & SYSTEMS LEAD - RURAL HEALTH PROGRAM
You are required to live in Vermont to be considered for this role.
Provides senior-level analytical leadership and oversight for data management, reporting, and system integration supporting complex state or federally funded RURAL HEALTH transformation initiatives. Leads statewide data strategy, performance monitoring, analytics, reporting, and systems coordination activities supporting the state's Rural Health Transformation Program.
Oversees development of dashboards, reporting frameworks, provider performance tracking methodologies, outcome measurement systems, and data-informed decision-support processes. Coordinates data integration and reporting activities supporting provider sustainability metrics, workforce indicators, operational performance measures, and federal reporting requirements. Supports development of actionable analytics for rural providers and state leadership.
Designs and implements structured data collection frameworks, ensuring alignment with program requirements and consistency across multi-site and multi-initiative environments. Supports development and maintenance of reporting systems, dashboards, and analytical products to inform program performance, compliance, and decision-making.
Leads data validation, reconciliation, and quality assurance processes to ensure accuracy, completeness, and timeliness of all reporting deliverables. Identifies data trends, performance patterns, and potential risks across subrecipient activities and escalates issues as appropriate.
Provides training and technical assistance on data systems, reporting platforms, and data governance practices, including working with non-technical audiences in rural or community-based settings. Supports audit-ready documentation and compliance with state and federal reporting requirements
Up to 25% travel may be required.
Basic Qualifications:
  • Master's degree in health informatics, public health, epidemiology, biostatistics, data science, healthcare analytics, or related field required.
  • Minimum 8 years of healthcare analytics, performance reporting, health systems analysis, or public-sector data management experience. Experience developing dashboards and performance measurement systems.
  • Minimum 1 year experience supporting CMS, Medicaid, HRSA, or federally funded healthcare reporting initiatives. Advanced proficiency with Power BI, Tableau, SQL, SAS, Python, R, or similar tools.
  • Experience translating complex analytics into actionable operational insights for non-technical stakeholders. Knowledge of healthcare financial, operational, workforce, and access-to-care metrics preferred.
  • Strong expertise in RURAL HEALTH operations, sustainability planning, workforce stabilization, and healthcare performance improvement.
  • Experience leading multidisciplinary consulting teams and facilitating provider learning collaboratives. Ability to support statewide provider engagement and implementation activities.
  • Experience serving as client interface for state agencies, Medicaid authorities, or other public-sector health funders.
  • Experience leading a team and providing oversight of performance, quality control, and deliverables.
  • Strong understanding of state health systems, Medicaid programs, rural health environments, or safety-net provider networks.
  • Experience supporting high-visibility, multi-partner implementation initiatives preferred.

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Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$118,755.00 - $201,884.00
Vermont Remote Office (VT99)

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