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

TechSource

Project Controls

Los Alamos, NM · Remote

Our specialized experience includes design for data centers, healthcare, science and technology ... Indicate a remote preference in your application. Responsibilities: * Manage complex schedules ...

Maximus

Appian Developer

Santa Fe, NM · Remote

This position is remote and requires a Public Trust security clearance. Maximus TCS (Technology and ... Perform SQL data modeling and database design. * Troubleshoot, debug, and optimize Appian ...

Maximus

Junior BUR and Storage Engineer

Santa Fe, NM · Remote

This position is remote. Junior Backup, Restore & Storage Engineer supporting enterprise disaster ... across on‑premise, data center, and hybrid environments to ensure continuity of IT and OT ...

Maximus

Cloud Platform Engineer

Santa Fe, NM · Remote

$54.75 - $73.25/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

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 ...

Maximus

Junior Security Engineer

Santa Fe, NM · Remote

This is a remote position. Maximus TCS (Technology and Consulting Services) Internal Job Profile ... data. - Monitor security tools and alerts, performing initial triage and escalating issues in ...

All 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 Jul 6, 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 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 Remote Data Science R jobs?

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.

What are the key skills and qualifications 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, 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.

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 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

Senior Data Architect

Coastal International Security, Inc

Los Alamos, NM • Remote

$102 - $105/hr

Full-time

Posted 16 days ago

Job description

. Senior Data Architect - ERP Modernization (DOE/LANL)

Location: Remote   Compensation: $104-$107/hr

Schedule: 9/80s   Citizenship: U.S. Citizenship Required

Clearance: Q Clearance (ability to obtain; not required to start)

WHY THIS ROLE

Los Alamos National Laboratory has selected SAP as its next-generation Cloud ERP, and this role sits at the center of that transformation. As Senior Data Architect within LANL's ADS-BADS organization, you will own the architectural vision for modernizing LANL's enterprise data environment - defining strategy, leading large-scale migrations, designing cloud-native platforms on Databricks and SAP infrastructure, and presenting directly to executive leadership. At $104-$107/hr fully remote, this is an opportunity to do consequential data architecture work alongside world-class scientists and engineers.

KEY RESPONSIBILITIES

Enterprise Data Architecture

  • Define enterprise data strategy, standards, and architectural blueprints
  • Lead migration of legacy data environments to cloud-native platforms
  • Design and implement large-scale data warehouses and data architectures
  • Partner with SAP integrators, ERP planners, and institutional SMEs
  • Ensure data integrity, security, governance, and accessibility
  • Present architectural strategies and decisions to executive stakeholders

Databricks Platform Architecture

  • Advise on Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog, Mosaic AI, Databricks SQL, and Databricks Apps
  • Guide platform migrations from legacy SQL and document stores onto Databricks
  • Recommend security and governance-as-code: Unity Catalog ABAC, governed tags, row filters, column masks, encryption, and compliance security profiles
  • Advise on tiered data pool architectures aligned to LANL's data classification policy and regulatory requirements
  • Recommend FinOps standards, workload and cost management
  • Mentor data engineers, analysts, and AI/ML teams; contribute to architecture reviews and enterprise standards
  • Evaluate emerging Databricks capabilities and recommend adoption strategies

REQUIRED QUALIFICATIONS

  • 15+ years of progressive experience in data architecture and modernization
  • 7+ years designing and operating Databricks workloads with medallion layer architecture
  • Hands-on experience with Delta Lake, Unity Catalog, Spark Structured Streaming, Lakeflow, Databricks SQL, MLflow, and Mosaic AI Model Serving
  • Proven experience migrating enterprise data workloads from on-premises to Databricks
  • Production streaming and CDC experience
  • Depth in Unity Catalog ABAC governance, classification, encryption, and compliance-to-control translation
  • Experience with Snowflake, Databricks, or SAP data platforms (S/4HANA, Datasphere, etc.)
  • Strong Python, SQL, Spark; cloud platform depth (AWS, Azure, or GCP)
  • Demonstrated ability to lead technical teams and present to executive stakeholders

DESIRED QUALIFICATIONS

  • Active Databricks certifications
  • Experience with SAP BDC/Datasphere and Databricks integration with zero-copy patterns
  • SAP Business Technology Platform (BTP) or SAP Integration Suite experience
  • GenAI and agent systems on Databricks
  • CI/CD and Infrastructure-as-Code (Terraform) for data platforms
  • Experience in regulated industries (government, utilities, life sciences) and related frameworks (FedRAMP, ITAR, HIPAA, GxP, etc.)
  • Master's degree in Computer Science, Information Systems, or related field
  • ERP certifications (SAP, Oracle, Workday, etc.)

MANDATORY REQUIREMENTS - READ BEFORE APPLYING

  • Must be a U.S. Citizen - required for Q Clearance eligibility, no exceptions
  • Must have 15+ years of progressive data architecture experience
  • Must have 7+ years of hands-on Databricks experience with medallion layer architecture
  • Must have experience with Snowflake, Databricks, or SAP data platforms