Principal Data Scientist
North East, PA · On-site +1
StrongprogrammingskillsinPython,R,orsimilaranalyticallanguages ... Strongmentoringandtechnicalleadershipcapabilities. #LI-TS1 #remote Sedgwickis an Equal Opportunity ...
Principal Data Scientist
North East, PA · On-site +1
StrongprogrammingskillsinPython,R,orsimilaranalyticallanguages ... Strongmentoringandtechnicalleadershipcapabilities. #LI-TS1 #remote Sedgwickis an Equal Opportunity ...
Principal Data Scientist
North East, PA · On-site +1
StrongprogrammingskillsinPython,R,orsimilaranalyticallanguages ... Strongmentoringandtechnicalleadershipcapabilities. #LI-TS1 #remote Sedgwickis an Equal Opportunity ...
Principal Data Scientist
North East, PA · On-site +1
StrongprogrammingskillsinPython,R,orsimilaranalyticallanguages ... Strongmentoringandtechnicalleadershipcapabilities. #LI-TS1 #remote Sedgwickis an Equal Opportunity ...
Senior Engineer - LLMOps & MLOps
North East, PA · On-site +1
$96K - $132K/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 ...
Senior Engineer - LLMOps & MLOps
North East, PA · On-site +1
$96K - $132K/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 ...
Senior Engineer - LLMOps & MLOps
North East, PA · On-site +1
$96K - $132K/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 ...
Senior Engineer - LLMOps & MLOps
North East, PA · On-site +1
$96K - $132K/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 ...
Product Manager/Owner AI
North East, PA · On-site +1
They collaborate with AI engineers and data scientists to validate feasibility, data availability ... Strong stakeholder communication skills across business and technical audiences #LI-TS1 #remote ...
Product Manager/Owner AI
North East, PA · On-site +1
They collaborate with AI engineers and data scientists to validate feasibility, data availability ... Strong stakeholder communication skills across business and technical audiences #LI-TS1 #remote ...
Product Manager/Owner AI
North East, PA · On-site +1
They collaborate with AI engineers and data scientists to validate feasibility, data availability ... Strong stakeholder communication skills across business and technical audiences #LI-TS1 #remote ...
Product Manager/Owner AI
North East, PA · On-site +1
They collaborate with AI engineers and data scientists to validate feasibility, data availability ... Strong stakeholder communication skills across business and technical audiences #LI-TS1 #remote ...
Remote Data Science R information
See Jamestown, NY salary details
$34.9K - $48.4K
2% of jobs
$48.4K - $61.8K
3% of jobs
$61.8K - $75.3K
6% of jobs
$75.3K - $88.8K
9% of jobs
$93.1K is the 25th percentile. Wages below this are outliers.
$88.8K - $102.2K
15% of jobs
The median wage is $111.2K / yr.
$102.2K - $115.7K
22% of jobs
$123.1K is the 75th percentile. Wages above this are outliers.
$115.7K - $129.1K
32% of jobs
$129.1K - $142.6K
3% of jobs
$142.6K - $156K
4% of jobs
$156K - $169.5K
1% of jobs
$169.5K - $183K
2% of jobs
$34.9K
$114.3K
$183K
How much do remote data science r jobs pay per year?
As of Aug 17, 2026, the average yearly pay for remote data science r in Jamestown, NY is $114,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $126,600.00 per year, depending on experience, location, and employer.
What is a remote data science R?
Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.
How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?
Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?
To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.
What is the difference between Remote Data Science R vs Remote Data Analyst?
| Aspect | Remote Data Science R | Remote Data Analyst |
|---|---|---|
| Required Skills | Statistical analysis, R programming, data modeling, machine learning | Data visualization, basic statistical analysis, Excel, SQL |
| Certifications | R certifications, data science certificates, possibly advanced degrees | Data analysis certifications, Excel, SQL courses |
| Work Environment | Collaborative teams, research projects, data science platforms | Reporting, dashboards, business insights |
| Industry Usage | Tech, finance, healthcare, research institutions | Marketing, retail, finance, operations |
Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.
What cities near Jamestown, NY are hiring for Remote Data Science R jobs?
Cities near Jamestown, NY with the most Remote Data Science R job openings:
Sedgwick rating
7.6
Based on 323 frontline employees who took The Breakroom Quiz
211th of 309 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 ScientistJobResponsibilities
- 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.