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Remote Climate Data Scientist Jobs in Vermont (NOW HIRING)

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

Sustainability PC3 X

Burlington, VT ยท On-site +1

$65K - $80K/yr

... climate goals in the University of Vermont's Comprehensive Sustainability Plan and supports ... They develop reports, presentations, and data visualizations for internal and public audiences.

$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 ...

$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 ...

$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 Climate Data Scientist information

What is a remote climate data scientist?

A Remote Climate Data Scientist is a professional who analyzes large sets of climate-related data, often from various sources such as weather stations, satellites, and climate models, to uncover trends and provide insights about climate change. They work remotely, using advanced statistical and machine learning techniques to interpret data and make predictions that can inform policy, research, and business decisions. Their work helps drive understanding of environmental patterns, supports climate resilience planning, and contributes to scientific publications or organizational strategy. Being remote, they collaborate with teams and stakeholders virtually, utilizing digital tools to communicate and share findings.

What are the key skills and qualifications needed to thrive as a remote climate data scientist?

To thrive as a Remote Climate Data Scientist, you need a strong background in climate science, statistics, and data analysis, typically supported by an advanced degree in environmental science, data science, or a related field. Expertise in programming languages like Python or R, experience with climate modeling tools, and familiarity with cloud-based data platforms are commonly required. Strong problem-solving abilities, self-motivation, and clear communication are critical for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate climate predictions, effective teamwork across locations, and valuable contributions to climate research and policy.

How do remote climate data scientists typically collaborate with team members and stakeholders across different time zones?

Remote Climate Data Scientists often work with multidisciplinary teams that may be distributed globally. Effective collaboration relies on clear communication through digital channels like Slack, video meetings, and project management tools. Regularly scheduled check-ins, shared documentation, and flexible work hours help ensure everyone stays aligned despite time zone differences. Being proactive in sharing progress updates and seeking feedback is key to successful teamwork in this remote, international environment.

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

AspectRemote Climate Data ScientistRemote Environmental Data Analyst
Required CredentialsDegree in Climate Science, Data Science, or related field; proficiency in Python, R, GIS toolsDegree in Environmental Science, Data Analysis, or related; skills in statistical software and data visualization
Work EnvironmentResearch institutions, climate-focused organizations, government agenciesEnvironmental consulting firms, NGOs, government agencies
Industry UsageClimate modeling, policy analysis, sustainability projectsEnvironmental impact assessments, resource management, conservation projects

The main difference is that Remote Climate Data Scientists focus on climate-specific data modeling and analysis, often involving climate change projections, while Remote Environmental Data Analysts work on broader environmental issues like resource management and conservation. Both roles require strong data skills and often overlap in work environment and credentials, but their focus areas differ within the environmental sector.

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

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

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

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

Infographic showing various Remote Climate Data Scientist job openings in Vermont as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 100% Remote job distribution.

INFORMATION SYSTEM DATA ANALYST

NORTHEAST KINGDOM HUMAN SERVICES INC

Newport, VT โ€ข On-site, Remote

$24.96 - $33.78/hr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 14 days ago


Job description

Data Analyst
Full-Time | Hybrid (potential for remote)

The Data Analyst plays an important role on the Analytics Team at Northeast Kingdom Human Services (NKHS) by supporting agency-wide data needs. Under the supervision of the Data Scientist, this position is responsible for gathering, cleaning, analyzing, and reporting on data from NKHSโ€™s electronic medical record (EMR) system and other sources. The Data Analyst works collaboratively with clinical and administrative teams to ensure data is accurate, meaningful, and supports informed decision-making across the organization.ย 

Primary Responsibilities include, but are not limited to:
โ€ข Extract, clean, analyze, and summarize data from multiple sources
โ€ข Prepare reports and data summaries for a variety of audiences
โ€ข Create dashboards and visualizations to highlight key metrics and trends
โ€ข Collaborate with the Quality Improvement team to monitor data quality and accuracy
โ€ข Support recurring and ad hoc reporting needs
โ€ข Contribute to the development and standardization of data analysis and data management best practices
โ€ข Assist the Data Scientist with statistical modeling projects, including data preprocessing, visualization, and validation of results
โ€ข Maintain compliance with data privacy, security, and ethical standards

Position Qualifications:
โ€ข Bachelorโ€™s degree in Statistics, Mathematics, Computer Science, or a related field
โ€ข One to three (1โ€“3) years of experience in data analysis or a related field
โ€ข Strong proficiency in SQL
โ€ข Advanced Excel skills
โ€ข Proficiency in a programming language used for data analysis (e.g., R or Python)
โ€ข Experience with data visualization tools such as Tableau or Power BI
โ€ข Familiarity with version control systems such as Git
โ€ข Understanding of basic statistical theory and data analysis techniques
โ€ข Strong problem-solving skills and attention to detail
โ€ข Ability to communicate data findings to both technical and non-technical audiences
โ€ข Experience with non-profit, social impact, or human services organizations preferred
โ€ข Experience with program evaluation or impact assessment preferred

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.


SALARY & BENEFITS
โ€ข Hourly rate: $24.96 โ€“ $33.78, based on experience
โ€ข Competitive benefits package including low-cost medical and dental insurance
โ€ข 403(b) retirement plan with Agency contribution and match
โ€ข Generous paid time off, sick leave, and paid holidays
โ€ข Tuition assistance, continuing education reimbursement, and loan repayment opportunities
โ€ข Employee wellness program
โ€ข Life insurance, short- and long-term disability coverage, AFLAC, and Employee Assistance Program

NKHS is proud to be an equal opportunity employer and is committed to fostering a diverse, inclusive, and supportive workplace.