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Remote Data Science R Jobs in Vermont (NOW HIRING)

Data Scientist

Newport, VT ยท On-site +1

$81K - $110K/yr

Master's degree required in Statistics, Analytics, Computer Science, or related field. * Three to ... Preference for candidates with experience using R as well as dashboarding and data visualization ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

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Remote Data Science R information

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

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

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

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

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

Data Scientist

Northeast Kingdom Human Services

Newport, VT โ€ข On-site, Remote

$81K - $110K/yr

Other

Medical, Dental, Life, Retirement, PTO

Posted 5 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.