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Data Scientist R Remote Jobs in Warren, MI (NOW HIRING)

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)

... data · Attend and report on assigned medical conferences · Collaborate with KOLs on medical ... This position is primarily remote. Alumis Inc. is an equal opportunity employer. Alumis ...

Support data science and model teams with platform needs, environment enablement, and deployment ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Documenting data models, taxonomies, workflows, controls, and reporting requirements for cyber ... Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ...

R. AUTOMATION TECHNOLOGIES, LLC Profession (Job Category): Engineering & Science Job Schedule ... Provide engineering teams with robot paths, OLPs and data. * Produce simulation videos and images.

R. AUTOMATION TECHNOLOGIES, LLC Profession (Job Category): Engineering & Science Job Schedule ... Provide engineering teams with robot paths, OLPs and data. * Produce simulation videos and images.

R. AUTOMATION TECHNOLOGIES, LLC Profession (Job Category): Engineering & Science Job Schedule ... Provide engineering teams with robot paths, OLPs and data. * Produce simulation videos and images.

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Director, Product

Detroit, MI · Remote

$238K - $249K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with Data Engineering and Data Science to ensure AI and ML outputs -- propensity models ...

Director, Product

Detroit, MI · Remote

$230K - $241K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with Data Engineering and Data Science to ensure AI and ML outputs - propensity models ...

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Showing results 1-20

Data Scientist R Remote information

See Warren, MI salary details

$35.2K

$115.3K

$184.6K

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

As of Jun 27, 2026, the average yearly pay for data scientist r remote in Warren, MI is $115,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,700.00 per year, depending on experience, location, and employer.

What are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Warren, MI? For Data Scientist R Remote jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Warren, MI look for? The top searched job categories for Data Scientist R Remote jobs in Warren, MI are:
What cities near Warren, MI are hiring for Data Scientist R Remote jobs? Cities near Warren, MI with the most Data Scientist R Remote job openings:
Infographic showing various Data Scientist R Remote job openings in Warren, MI as of June 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,280 per year, or $55.4 per hour.
OCI Architect

OCI Architect

Centroid Systems, Inc.

Troy, MI • Remote

Full-time

Posted 25 days ago


Job description

Centroid is Oracle Corporation's top Oracle Cloud Infrastructure (OCI) partner in North America, delivering architecture, implementation and modernization initiatives in OCI for our customers.
Our architects work directly alongside Centroid’s and client teams to design, migrate, and modernize mission-critical workloads- Oracle Databases, EBS, PeopleSoft, and next-generation AI/Data, Agentic AI, OCI genAI Platform solutions on OCI.
This is a senior, hands-on technical role. You will serve as the primary OCI architect on client engagements: owning solution design end-to-end, guiding technical decisions, and delivering production-grade implementations. No people management responsibilities.
As OCI Architect you will be engaging with various customers in their cloud enablement initiatives. The candidate will be involved in design and execution of cloud migration strategy, automating existing cloud workloads in cloud, provide services to port existing workloads to leverage cloud benefits.
Requirements:
  • 10+ years of experience in customer-facing infrastructure or cloud architecture roles
  • 5+ years of hands-on OCI design and implementation experience

Location: 100% Remote
Job Type:  Full Time employee, CTH, or Contract 
  • Architect end-to-end OCI solutions for customer engagements spanning landing zone design, network topology, identity, compute, storage, and database tiers
  • Lead Oracle Database workload migrations to OCI, including Exadata Cloud Service, Autonomous Database (ADB), and Base Database Service, with a focus on performance, HA, and DR
  • Design and execute Oracle Applications migrations (EBS, PeopleSoft, JD Edwards) to OCI, including lift-and-shift and modernization patterns
  • Architect and deploy AI/Data Platform (AIDP) workloads leveraging OCI GenAI Service, OCI AI Agents, OCI Data Science, and Oracle Database 23ai Vector Search
  • Develop and present technical architectures, reference designs, and migration runbooks for client pre-sales and delivery engagements
  • Build and maintain OCI landing zones using Terraform and OCI Resource Manager, aligned to Oracle's CIS Foundations Benchmark
  • Collaborate with Oracle technical teams (STCs, Cloud Engineers) on joint client engagements; serve as the technical point of escalation for Centroid
  • Define standards, reusable patterns, and architectural guardrails for Centroid's OCI delivery practice

Skills Preferred:
OCI Core Services
  • Compute: VM/BM shapes, Flex shapes, instances, autoscaling, instance configurations
  • Networking: VCN design, FastConnect, Site-to-Site VPN, DRG v2, Network Firewall, load balancers (L4/L7), DNS, Private DNS Resolver
  • Storage: Block Volume, File Storage (FSS), Object Storage (lifecycle, replication, versioning), Local NVMe
  • IAM: compartment hierarchy, policies, dynamic groups, federated identity (SAML/SCIM), OCI Vault, Bastion Service
  • Kubernetes: OKE cluster provisioning, node pool management, cluster networking (flannel/NPN), OCI Container Registry (OCIR)

Oracle Database & Exadata
  • Autonomous Database (ADB-S, ADB-D), Base Database Service, Exadata Cloud Service, Exadata Cloud@Customer
  • Data Guard (Maximum Availability, Maximum Performance), GoldenGate for live migration and zero-downtime cutovers
  • Oracle Database 23ai: JSON Relational Duality, True Cache, AI Vector Search, Select AI
  • Database migration tools: MV2ADB, Data Pump, ZDLRA, Database Migration Service (DMS)

Oracle Applications (Migrations to OCI)
  • EBS 12.1/12.2 on OCI: architecture patterns, shared file system design, wallet-based DB connectivity or similar Oracle Application experience, like Peoplesoft or JDE.

AI / GenAI / Data Platform
  • OCI Generative AI Service: Cohere and Meta model endpoints, embedding models, semantic search patterns
  • OCI AI Agents: agent frameworks, tool configuration, RAG pipelines, knowledge base integration
  • OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)
  • Oracle Database 23ai Vector Search: VECTOR data type, HNSW/IVF indexes, vector distance functions

Technical Skills — Preferred
  • Multi-cloud connectivity: OCI–Azure Interconnect, OCI–AWS, Oracle Database@Azure, Oracle Database@AWS
  • Oracle WebLogic Server on OCI / WebLogic for OKE
  • ZFS Storage Appliance on OCI, Oracle Linux, RHEL administration at scale
  • Observability: OCI Monitoring, Logging, Application Performance Monitoring (APM), OCI Ops Insights
  • FinOps: cost analysis, committed use discounts, OCI resource scheduling

Preferred Qualifications
  • Oracle Cloud Infrastructure Architect Associate (1Z0-1072) - required within 90 days if not already held
  • Oracle Cloud Infrastructure Architect Professional (1Z0-997) - strongly preferred
  • Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127) - preferred
  • Oracle Exadata Database Machine Implementation Specialist - preferred for Exadata-focused engagements
  • Hands-on experience with Oracle Cloud Lift projects

Education
  • Bachelor’s degree in computer science, Information Systems, Electrical Engineering, or equivalent field - or equivalent professional experience
  • 10+ years total technical experience; 5+ years OCI-specific hands-on delivery

What Sets This Role Apart
You will work on OCI exclusively with ability to learn and engage with emerging technologies like multi-cloud architecture, Agentic AI and Generative AI. Centroid's clients engage us because of deep Oracle expertise, you will architect solutions that Oracle's own SCs reference, participate in Oracle partner programs, and shape how enterprise customers realize value from OCI's most advanced capabilities. If you are an OCI practitioner who wants to do the most technically demanding Oracle Cloud work available, this role is built for you.

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