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Remote Data Scientist Internship Jobs in Alaska (NOW HIRING)

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sedgwick

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

Data Science Engineering: Support the data science lifecycle by automating feature stores, feature ... remote #LI-TS1 Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

York Risk Services

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

Data Science Engineering: Support the data science lifecycle by automating feature stores, feature ... remote #LI-TS1 Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

United Soccer League (USL)

$16.25 - $20.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Position Purpose Under the direction of the USL Technology & Data Strategy team, the Business ...

United Soccer League (USL)

$16.75 - $21/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Position Purpose Under the direction of the USL Technology & Data Strategy team, the Business ...

UIC Alaska

Field Support Technician - UIC Science

Barrow, AK · Remote

$24.50 - $33.75/hr

... data; and supporting logistics for scientific projects. Responsibilities also include ensuring ... Experience with remote hunting, camping, or working on the ice or land in Arctic conditions.

Quora

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Previous software engineering experience via an internship, work experience, or coding competition

United Soccer League (USL)

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

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Remote Data Scientist Internship information

What is a remote data scientist internship?

A Remote Data Scientist Internship is a temporary, project-based position where interns work remotely to analyze data, build models, and derive insights using machine learning and statistical techniques. Interns collaborate with teams virtually, using tools like Python, R, and SQL to process and visualize data. These internships help students and professionals gain real-world experience in data science while improving their technical and analytical skills.

What types of projects or tasks can I expect to work on during a remote data scientist internship?

As a Remote Data Scientist Intern, you may work on tasks like cleaning and analyzing datasets, building predictive models, visualizing data trends, and assisting with data-driven decision-making processes. You will likely collaborate with other data scientists and team members through virtual meetings, shared code repositories, and project management tools. Your daily responsibilities might include writing scripts to automate data analysis, preparing presentations, and contributing to ongoing research or product development initiatives. These experiences are designed to help you develop practical, industry-relevant skills and gain exposure to real-world data science challenges.

What are the key skills and qualifications needed to thrive in a remote data scientist internship, and why are they important?

To thrive as a Remote Data Scientist Intern, you need a solid understanding of statistics, machine learning, and programming, often demonstrated through coursework or related projects in fields like data science, computer science, or engineering. Hands-on experience with tools such as Python or R, data visualization libraries, SQL databases, and platforms like Jupyter Notebook is highly valued, along with familiarity with cloud-based collaboration tools. Strong analytical thinking, initiative, clear communication, and the ability to work independently in a virtual environment are standout soft skills. These capabilities enable interns to effectively analyze complex data, share insights, and contribute meaningfully to team projects despite the remote setting.

What are the most commonly searched types of Remote Data Scientist jobs in Alaska?

The most popular types of Remote Data Scientist jobs in Alaska are:

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

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

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

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

What cities in Alaska are hiring for Remote Data Scientist Internship jobs?

Cities in Alaska with the most Remote Data Scientist Internship job openings:

Remote Data Scientist Internship jobs near you

Principal Data Scientist

Sedgwick

Minto, AK • On-site, Remote

Full-time

Re-posted 8 days ago

Sedgwick rating

7.6

Company rating: 7.6 out of 10

Based on 322 frontline employees who took The Breakroom Quiz

211th of 308 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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