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Remote Data Scientist Jobs in Grantham, NH (NOW HIRING)

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 Scientist information

See Grantham, NH salary details

$38.4K

$125.6K

$201K

How much do remote data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data scientist in Grantham, NH is $125,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What cities near Grantham, NH are hiring for Remote Data Scientist jobs?

Cities near Grantham, NH with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Grantham, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,569 per year, or $60.4 per hour.

Senior Management Analyst

Elyon International

Hanover, NH • Remote

$110K - $120K/yr

Other

Posted 14 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.