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Remote Data Science Jobs in White River Junction, VT

Elyon International

Senior Management Analyst

Hanover, NH · Remote

$110K - $120K/yr

Remote, with some travel (estimated max 20%) Core work hours between 7:00 a.m. and 5:00 p.m ... The position reviews object models, data models, and metadata repositories to structure information ...

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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 job categories do people searching Remote Data Science jobs in White River Junction, VT look for?

The top searched job categories for Remote Data Science jobs in White River Junction, VT are:

What cities near White River Junction, VT are hiring for Remote Data Science jobs?

Cities near White River Junction, VT with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in White River Junction, VT as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 11% Part Time, and 6% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior Management Analyst

Elyon International

Hanover, NH • Remote

$110K - $120K/yr

Other

Posted 11 days ago

Job description

Senior Management Analyst


Location: Remote, with some travel (estimated max 20%)

Core work hours between 7:00 a.m. and 5:00 p.m. Eastern Time, Monday through Friday


Job Description:


The Senior Management Analyst supports the Deputy Chief of Staff, G-4 Geographic Information System and Real Property Analysis program by conducting real-property evaluations, analyzing associated business processes, and developing operational and procedural documentation that helps Army organizations operate more efficiently and effectively.


The Senior Management Analyst develops strategies for acquiring and analyzing Headquarters Installation Information System data using associated relational databases. The position reviews object models, data models, and metadata repositories to structure information for improved management and faster access. The Senior Management Analyst applies senior-level experience and knowledge to key tasks and high-impact assignments involving Army real-property inventory, Installation Geospatial Information and Services data, authoritative information systems, workflow improvement, data reconciliation, and management analysis.



Primary Duties:

  • Conduct real-property evaluations and evaluate supporting operational procedures.
  • Analyze existing real-property and GIS-related workflows to identify opportunities for improved efficiency, consistency, data accessibility, and management control.
  • Develop and document operations manuals, procedures manuals, standard operating procedures, workflow descriptions, and related management products.
  • Develop strategies for acquiring, organizing, and analyzing HQIIS data through associated relational databases.
  • Review object models, data models, and metadata repositories to improve how data is structured, managed, retrieved, and used.
  • Support analysis of discrepancies among HQIIS, GFEBS/PRIDE, and IGI&S information when assigned to applicable task activities.
  • Support the development of findings, processes, technical documentation, management options, and data-driven recommendations for Government consideration.
  • Support installation real-property and IGI&S workflow assessments associated with reconciliation, physical inventories, audit preparation, unconsolidation, data quality, and emerging Army directives.
  • Assist with the development or improvement of local Real Property/GIS Management SOPs and internal training plans during installation-support activities.
  • Prepare accurate, complete, and professionally written analyses, procedures, meeting notes, reports, briefings, and supporting documentation.
  • Track assigned actions and provide information needed for monthly status reports and the annual task-execution report.
  • Coordinate with GIS, real-property, training, software-quality, business-intelligence, and project-management personnel.
  • Participate in Government meetings, conferences, briefings, and installation engagements as required.
  • Protect proprietary information, Government information, personally identifiable information, and other sensitive information accessed during contract performance.
  • Clearly identify all work products and communications as contractor-generated when required.



Mandatory minimum qualifications:

  • Education: A Bachelor of Science degree in a relevant field of study.
  • Demonstrated understanding of Department of Defense and Army real-property policy and guidance.
  • Demonstrated understanding of Army IGI&S policy and guidance.
  • Demonstrated understanding of the most recently published DCS G-4 IGI&S Quality Assurance Plans.
  • Demonstrated understanding of the most recent SDSFIE Army Adaptation.
  • Demonstrated understanding of Esri ArcGIS application software.
  • Experience conducting real-property evaluations and analyzing procedures.
  • Experience preparing operations manuals, procedures manuals, SOPs, or comparable procedural documentation.
  • Experience developing strategies for obtaining and analyzing HQIIS or sufficiently comparable relational-database information.
  • Experience reviewing object models, data models, and metadata repositories to improve data structure, management, and accessibility.
  • Experience and knowledge applicable to key tasks and high-impact assignments.
  • Ability to analyze complex real-property, GIS, procedural, and data-management issues.
  • Ability to convert analytical findings into accurate and usable procedures, manuals, reports, and management documentation.
  • Ability to communicate effectively with Government representatives, Army installation personnel, functional specialists, and technical team members.
  • Ability to produce factually accurate deliverables free of grammatical and spelling errors.
  • Ability to perform as an experienced professional acceptable to the U.S. Army.

Desired qualifications:

  • Direct experience with Army real-property inventory, HQIIS, GFEBS, PRIDE, or installation IGI&S environments.
  • Experience reconciling real-property and geospatial records.
  • Experience applying RPIM business rules, Army IGI&S QAP requirements, or SDSFIE Army standards.
  • Experience supporting Army audit readiness, physical inventories, deemed-cost initiatives, or real-property data-quality improvement.
  • Experience developing installation-level SOPs, procedural manuals, analytical reports, and management recommendations.
  • Experience working with relational databases, metadata repositories, object models, and data models in a DoD environment.
  • Experience briefing senior Army, DoD, or federal stakeholders.


**Disclaimer: This position is contingent upon ELYON’s receipt of contract award, Government acceptance of the proposed candidate, completion of required onboarding, and continued contract funding.**


ELYON International, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.