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Remote Geospatial Data Scientist Jobs in Alaska (NOW HIRING)

Siemens

$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

Siemens

$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

Siemens

$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

Workiva

$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 ...

Workiva

$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 ...

Workiva

$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 Geospatial Data Scientist information

What is a remote geospatial data scientist?

A Remote Geospatial Data Scientist is a professional who analyzes and interprets spatial data, such as maps, satellite imagery, and GPS data, to solve problems or provide insights, all while working from a location outside of a traditional office. They use statistical, mathematical, and programming skills to process large geospatial datasets and often collaborate with teams virtually. Their work can support a variety of industries, including environmental monitoring, urban planning, and logistics, by providing actionable geographic insights. Remote geospatial data scientists commonly use tools like GIS software, Python, and machine learning frameworks. Communication and collaboration tools are also essential for effective remote work.

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

To thrive as a Remote Geospatial Data Scientist, you need a strong background in spatial analysis, statistics, and programming, typically supported by a degree in geography, computer science, or a related field. Experience with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or R is essential, along with familiarity with cloud-based data platforms. Strong problem-solving, self-motivation, and effective communication skills are vital for collaborating remotely and turning complex geospatial data into actionable insights. These skills enable professionals to efficiently interpret and analyze spatial data, deliver valuable solutions, and work effectively within distributed teams.

How do remote geospatial data scientists typically collaborate with multidisciplinary teams across different time zones?

Remote Geospatial Data Scientists often work with professionals in fields like environmental science, urban planning, and software engineering, many of whom may be distributed globally. Effective collaboration relies on clear communication, regular virtual meetings, and the use of shared platforms for data, code, and project management. Flexible scheduling and asynchronous communication tools are key to coordinating across time zones, ensuring that all team members can contribute to project milestones efficiently. Building strong documentation and leveraging collaborative GIS and data platforms further help streamline workflows and maintain project momentum in a remote environment.

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

AspectRemote Geospatial Data ScientistRemote GIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, Data Science; experience with spatial analysisBachelor's in GIS, Geography, or related field; proficiency in GIS software
Work EnvironmentData analysis, modeling, programming, and spatial data interpretationMapping, data management, spatial data visualization
Employer & Industry UsageTech companies, environmental agencies, urban planningGovernment agencies, utilities, environmental firms
Common Search & ComparisonFocuses on data science and modelingFocuses on mapping and spatial data management

The Remote Geospatial Data Scientist primarily works on advanced spatial data analysis, modeling, and programming to extract insights from geospatial data. In contrast, the Remote GIS Analyst focuses on mapping, data management, and spatial visualization. Both roles require GIS knowledge but differ in their core responsibilities and skill sets.

What are popular job titles related to Remote Geospatial Data Scientist jobs in Alaska?

For Remote Geospatial Data Scientist jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Remote Geospatial Data Scientist jobs in Alaska look for?

The top searched job categories for Remote Geospatial Data Scientist jobs in Alaska are:

Remote Geospatial Data Scientist jobs near you
Infographic showing various Remote Geospatial Data Scientist job openings in Alaska as of August 2026, with employment types broken down into 74% Full Time, 13% Temporary, and 13% Contract. Highlights an 100% Remote job distribution.

Principal Data Scientist

Sedgwick

Minto, AK • On-site, Remote

Full-time

Re-posted 29 days ago

Sedgwick rating

7.6

Company rating: 7.6 out of 10

Based on 327 frontline employees who took The Breakroom Quiz

219th of 315 rated insurance

Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

Principal Data Scientist

JobResponsibilities

  • Leadthedesignanddevelopmentofadvancedstatisticalandmachinelearningmodelsthatimproveclaimsoutcomes,operationalefficiency,andriskmanagement.
  • Serveasthetechnicalauthorityforcomplexmodelinginitiativesincludingfrauddetection,claimsseverityprediction,litigationriskmodeling,andrecoveryoptimization.
  • Developpredictiveandprescriptivemodelsusingstructuredandunstructuredclaimsdata,includingadjusternotes,medicalrecords,andpolicydocumentation.
  • Architectmodelingapproachesthatleveragemoderntechniquessuchasgradientboosting,deeplearning,NLP,anomalydetection,andprobabilisticmodeling.
  • PartnerwithAIEngineeringteamstoproductionizemodelsandintegratethemintoenterpriseAIplatformsandoperationalsystems.
  • Designfeatureengineeringstrategiesandmodelingpipelinesusinglarge-scaleenterprisedatasets.
  • Establishbestpracticesformodeldevelopment,experimentation,validation,andreproducibility.
  • Leadadvancedanalyticaltechniquessuchascausalinference,scenariosimulation,andriskscoringmethodologies.
  • Buildandmaintainmodelevaluationframeworksthatmeasureaccuracy,bias,stability,andbusinessimpact.
  • Monitordeployedmodelsfordrift,degradation,andchangingdatadistributions,andrecommendrecalibrationstrategies.
  • Providetechnicalguidancetodatascientistsandanalystsacrosstheorganization.
  • Mentorjuniorteammembersonstatisticalmethods,machinelearningtechniques,andanalyticalrigor.
  • Translatecomplexanalyticalfindingsintoclear,actionableinsightsforbusinessleadersandoperationalteams.
  • CollaboratewithClaimsOperations,Finance,Risk,andITstakeholderstoidentifyhigh-impactanalyticalopportunities.
  • Evaluateexternaldatasourcesandthird-partyanalyticalsolutionsthatenhancepredictivecapabilities.
  • Ensureanalyticalmethodologiesalignwithenterprisegovernancestandardsandregulatoryexpectations.
  • ContributetoSedgwick'sbroaderAIandadvancedanalyticsstrategybyidentifyingemergingtechnologiesandmodelingapproaches.
  • LeadresearchandinnovationinitiativesthatadvanceSedgwick'spredictiveanalyticscapabilities.

Qualifications

  • Master'sorPhDinDataScience,Statistics,Mathematics,ComputerScience,Economics,orrelatedquantitativediscipline.
  • 8-12+yearsofexperienceindatascience,statisticalmodeling,oradvancedanalyticsroles.
  • Deepexpertiseinmachinelearningalgorithms,statisticalmodelingtechniques,andpredictiveanalyticsmethodologies.
  • StrongprogrammingskillsinPython,R,orsimilaranalyticallanguages.
  • Extensiveexperienceworkingwithlarge,complexdatasetsinenterpriseenvironments.
  • Provenexperiencedesigningandimplementingend-to-endmodelingpipelines.
  • Strongunderstandingofmodelvalidation,featureengineering,andperformanceevaluationtechniques.
  • Experiencecollaboratingwithengineeringteamstodeploymodelsintoproductionsystems.
  • Familiaritywithdistributeddataprocessingtoolsandmoderndataplatformspreferred.
  • Experienceininsurance,claimsmanagement,healthcare,orfinancialservicesanalyticspreferred.
  • Abilitytocommunicateadvancedanalyticalconceptstobothtechnicalandnon-technicalstakeholders.
  • Demonstratedabilitytoleadcomplexanalyticalinitiativesthatdrivemeasurablebusinessvalue.
  • Strongmentoringandtechnicalleadershipcapabilities.

#LI-TS1 #remote

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

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