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Remote Data Science R Jobs in Santa Fe, NM (NOW HIRING)

IQVIA

Clinical Trial Psych Rater

Santa Fe, NM · Remote

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

ICF

Senior Manager, Commercial Energy

Santa Fe, NM · On-site +1

Oversee program evaluation, including analysis, data collection, and reporting. * Provide resource ... Bachelor's Degree in Energy, Business, Environmental Sciences, Engineering, Economics, Policy or a ...

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Santa Fe, NM

Remote Data Science R information

See Santa Fe, NM salary details

$36.8K

$120.5K

$192.9K

How much do remote data science r jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data science r in Santa Fe, NM is $120,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $133,500.00 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?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, 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 are popular job titles related to Remote Data Science R jobs in Santa Fe, NM?

For Remote Data Science R jobs in Santa Fe, NM, the most frequently searched job titles are:

What job categories do people searching Remote Data Science R jobs in Santa Fe, NM look for?

The top searched job categories for Remote Data Science R jobs in Santa Fe, NM are:

What cities near Santa Fe, NM are hiring for Remote Data Science R jobs?

Cities near Santa Fe, NM with the most Remote Data Science R job openings:

Remote Data Science R jobs near you

Solutions Architect SAP Data Migration

Coastal International Security, Inc

Los Alamos, NM • Remote

$98 - $103/hr

Full-time

Posted 25 days ago

Job description

Solutions Architect 4 - SAP Data Migration (DOE/LANL)Location: Remote, supporting LANL's SAP S/4HANA modernization initiativeCitizenship: U.S. Citizenship RequiredCompensation: $98 - $103/hrWhy This RoleLANL is undertaking a greenfield SAP S/4HANA modernization effort and needs a senior, client-side data migration authority who can stand shoulder to shoulder with the System Integrator's data lead as a technical peer. This is not a general data architecture role. It requires someone who has led enterprise SAP data migrations from the inside of a major System Integrator and has since moved into client-side advisory work, someone who knows when to challenge an SI's approach, when to accept their judgment, and when to hold position. You will own the day to day execution of the client's data workstream while also serving as an independent, senior voice on migration architecture, data quality, and go live readiness.Key ResponsibilitiesAdvisory & OversightServe as the client side senior authority on SAP data migration, facing off to the System Integrator's data lead as a technical peerReview and challenge the SI's data migration approach where it carries unnecessary risk, cost, or downstream operational burdenAdvise on migration architecture for greenfield S/4HANA from non-SAP sources, including legacy concept to SAP concept mapping and tooling trade offsHands-on Coordination & DeliveryOwn day to day execution coordination of the client side data workstream across all domainsServe as the daily point of contact with the SI's data migration team, tracking deliverables and escalating delaysRun working sessions with client data owners and the integrator's team, driving open actions and decisions to closureData Quality & ReconciliationSet and monitor cleansing standards across data domains, validating that the SI's quality criteria are fit for go liveOrganize and track mock load cycles and review reconciliation results independently of the SISurface data quality risks the SI may not flag, including missing legacy concepts and silent data loss in transformationGovernance & CutoverEnsure data migration activities comply with data classification policy and applicable regulatory requirementsMaintain the data migration cutover plan and prepare data readiness inputs for go or no go decisionsSupport hypercare on data related issues post go live, and provide migration status reporting to program leadershipRequired Qualifications15+ years leading enterprise SAP data migration workstreams, with at least 4 full lifecycle S/4HANA programs delivered end to end, greenfield preferredExperience running the data workstream from inside a major System Integrator, followed by client side advisory workDeep hands on experience migrating from non-SAP sources (Oracle EBS, JD Edwards, PeopleSoft, custom systems) into SAPFull scope enterprise migration experience spanning Finance, Supply Chain, HR/HCM, Plant Maintenance / EAM, and Master DataDeep understanding of S/4HANA data models, business partner concept, universal journal, and material ledgerStrong grounding in data migration methodology, including ETL design, reconciliation, cutover sequencing, and hypercare supportHands on exposure to at least one regulated compliance framework (HIPAA, SOC 2, PCI-DSS, GDPR, or FedRAMP), with demonstrated ability to translate requirements into migration controlsExcellent communication, able to move fluidly from executive readouts to deep technical review with the SI's engineersNice to HavePrior experience with Oracle EBS as the source systemFamiliarity with SAP Business Data Cloud (BDC), Databricks, or Snowflake as staging/reconciliation environmentsSAP certifications (S/4HANA, Data Migration, or comparable)Experience in audit heavy sectors such as financial services, healthcare, life sciences, pharma, or governmentMandatory Requirements - Read Before ApplyingS. Citizenship required15+ years leading enterprise SAP data migration workstreams required, with at least 4 full lifecycle S/4HANA programs delivered end to endMust have worked the data migration workstream from inside a major System Integrator, followed by client side advisory work, candidates without this specific career path will not be consideredMust have direct, hands on experience migrating from non-SAP sources (Oracle EBS, JD Edwards, PeopleSoft, or custom systems) into SAPMust have hands on exposure to at least one regulated compliance framework (HIPAA, SOC 2, PCI-DSS, GDPR, or FedRAMP) applied to data migration controls