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R Experts in Germany

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Hire experts who turn complex data into reliable models, reports and visualisations with R, tidyverse and Shiny. FRATCH matches you quickly and precisely with vetted, available freelancers for analytics, research and production data work.

Meet FRATCH Experts in Germany, who have recently used R

Verified expert

Dany-Armand D.

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Senior Data Scientist

Witten
Dany-Armand D.

Last position:

Senior Data Scientist at ibg NDT GmbH

  • Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
  • Detect latent patterns in ECT data that reflect intrinsic material characteristics
  • Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
  • Apply Bayesian Structural Equation Modeling for advanced data analysis
Verified expert

Michael S.

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Data Scientist

Hanover
Michael S.

Last position:

Data Analyst, Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH

Development of AI and traditional models to analyze medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, referral profile analyses, and prescription analyses. Analyses in the field of Real World Evidence.

Healthcare IT, pharmaceutical industry

Tasks, responsibilities:

  • Gathering customer requirements
  • Planning the subproject
  • Designing and defining KPIs
  • Designing and developing models and visualizations of results using customer dashboards
  • Developing and implementing data warehouse adaptations
  • Deriving recommendations for action

Methods, technologies:

  • Simulation
  • Artificial intelligence
  • Python
  • R
  • SQL
  • Microsoft Power BI
  • Amazon Web Services
  • Elasticsearch
  • PostgreSQL
  • Databricks
  • Multivariate statistics
Verified expert

Umut G.

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Freelancer

Frankfurt
Umut G.

Last position:

Data Architect at BA Technology

I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.

I delivered following projects and engagements as a freelancer.

  • Data Migration of CRM System for AL-FA Objekt Service Gmbh
  • Microsoft Software Resales Partnership

I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer

Technical Focus Areas

  • Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
  • DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
  • Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
  • MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
  • Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Verified expert

Stefan O.

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AI Product Leader

Berlin
Stefan O.

Last position:

Founder at ProtocolEngine.io

Evidence-led health intelligence platform turning published research into personal health protocols. It scores 430 habits, foods, and supplements against the studies behind them, and moves the score when the evidence moves. Built solo.

  • Built the daily ingestion pipeline across PubMed, bioRxiv, and medRxiv: 43,000+ papers from 3,400+ journals processed into 230,000+ typed evidence claims, each one traceable back to the study it came from.
  • Designed the six-factor evidence scoring model and the public changelog behind it, so no recommendation ever appears without the papers underneath it. 23,000+ grade changes recorded and explained to date.
  • Shipped an entity information model connecting every intervention to its mechanisms, biomarkers, and outcomes: 118 biomarkers with region-specific reference ranges, 77 mechanisms, 32 graded outcomes.
  • Built the personalisation layer: blood panel ingestion that reads lab PDFs with a vision model and corrects results for draw time against the user's wake anchor, plus Oura, WHOOP, and Withings integration for daily readiness context.
  • Operate eleven specialised review agents over the corpus and codebase, covering paper curation, retrieval quality, health-claim compliance across EU and US regimes, and security.
  • Shipped the Evidence Assistant, a RAG assistant that answers from the claim database and cites the underlying papers, plus a B2B practitioner tier, an Expo React Native app, and localisation across 3 languages and 7 markets.

Stack: Next.js 16, TypeScript, Supabase, pgvector, Anthropic Claude, Vercel, DeepInfra.

Verified expert

Kiriakos K.

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Platform Engineering Tech Lead / Architect

Nickenich
Kiriakos K.

Last position:

Tech Lead / Architect : OTTO API Platform at OTTO

Maturing their API practices on both a business and technology level. My role covers strategy, architecture, developer advocacy as well as hands-on software engineering, enabling both technical teams and business leadership to adopt and act on API-centric principles effectively. Coincidentally, we also establish GitOps, DX and platform best practices with this project.

Highlights:

  • Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
  • Formulating a way forward for API Lifecycle Management at OTTO
  • Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals

API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, React, Node.js, TypeScript, Redocly, reactive programming, CDC, Golang, Gin, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.

Verified expert

Eric B.

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Quality Manager / Test Manager / Senior Test Analyst / Senior Data Analyst / Statistical Programmer

Kelkheim (Taunus)
Eric B.

Last position:

Quality Assurance Manager (QSV) at Federal Employment Agency

  • Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.

  • Defining the general guidelines in the QA handbook

  • Summarising test results in QA reports for PLA

  • Analysing project results for improvement opportunities

  • Quality management of requirements analysis (particularly processes, methods, and tools)

  • Ensuring compliance with SERA requirements

  • Creating a cross-project test concept

  • Agreeing on sprint completion reports

  • Formal review of work results in accordance with requirements and/or the project plan

  • Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)

  • Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes

Verified expert

Toralf C.

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IT Consultant in PKI Software Development

Hohen Neuendorf
Toralf C.

Last position:

IT Consultant in PKI Software Development at BWI

  • Implementation of a full-stack application with Angular as frontend framework and Java as backend language
  • Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
  • Control of a card printer via the Nexus Card SDK framework
  • Design and implementation of card management software with web interface and JavaFX module for printer monitoring
  • Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
  • Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software
Verified expert

Fatiha A.

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Dr.

Düsseldorf
Fatiha A.

Last position:

Science Coordinator at Heinrich-Heine-Universität

  • Coordinate a large-scale, DFG-funded research project involving 19 interdisciplinary research groups across multiple institutions, including the MibiNext Graduate School
  • Lead project governance and stakeholder communication through structured milestone tracking and reporting to university administration
  • Organise and coordinate scientific events, including an international symposium and DFG on-site evaluation, managed invitations, participant communication and event-related enquiries
  • Website maintenance and content creation
  • Editing, formatting, reviewing, and compilation of abstract book and various documents
  • Coordinate logistics, communication, scheduling, and stakeholder engagement across participating institutions
Verified expert

Tungi D.

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Technical PMO | Delivery Master | LLM-Expert

Hamburg
Tungi D.

Last position:

Technical PMO | Delivery Master | LLM-Expert at Stealth - NDA

  • Owning RAG, LLM-System, ML-ops-Pipelines for various startups in Insurance, Banking, Energy (KRITIS)
Verified expert

Dmitry P.

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Freelance Digital Marketing Analyst

Berlin
Dmitry P.

Last position:

Freelance Digital Marketing Analyst at Freelance

  • Marketing Strategy: Lead the end-to-end analysis and evaluation of cross-channel marketing campaigns across the entire Customer Journey. My focus is identifying optimization potential and deriving clear, actionable recommendations that drive measurable business impact.
  • Data Science & AI: Advanced predictive modeling (Churn, LTV), market basket analysis, clustering, and real-time AI-powered audience discovery utilizing RAG/LLMs.
  • Marketing Analytics & Measurement: End-to-end attribution analysis, Marketing Mix Modeling (MMM), audience segmentation, conversion path analysis, and A/B testing across all major platforms.
  • Data Engineering & Reporting: Designing and managing robust, multi-platform data pipelines (BigQuery, GCP) for data consolidation, automated dashboard generation, and critical API integrations.
Verified expert

Michael N.

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Senior ML Engineer | AI Engineer | Problem Solver

Eichenau
Michael N.

Last position:

Senior AI Engineer | Forward Deployed Engineer at Tiefbau

  • Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
  • Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
  • Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
Verified expert

Nitin B.

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Data & Analytics Leader

Berlin
Nitin B.

Last position:

Financial Analytics Lead at Independent Consultant

Led FP&A tech transformation for a 9-figure business – from resolving legacy technical debt to leading AI-native EPM implementation

  • Driving end-to-end FP&A transformation, from architecture redesign through EPM tool selection to rollout
  • Ran evaluation of 12+ EPM platforms, from vendor negotiation to selection framework tied to long-term planning
  • Diagnosed constraints in financial planning architecture, presented findings to the CFO, and secured executive mandate to redesign FP&A infrastructure from the ground up
Verified expert

Paul T.

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Specialized in: Project Management Office (PMO) Project Services for Telecoms, IT & Energy sectors

Munich
Paul T.

Last position:

Senior Project Manager Networks Division at Samsung Electronics GmbH

  • Managed the successful overall Trial and Commercial deployment of OpenRAN technology and swap-out of legacy SRAN for 2 mobile network operators in Germany.
  • End-to-End Project life cycle governance and coordination of multiple Workstream leads i.e. Operations, Performance, Site Solution Management, Design, SW Delivery, Integration & Implementation, OSS Tools, 3rd-party Resource Support.
  • Project planning to cover major milestones by delivering roadmap alignment in compliance with the German Network Regulatory Agency (BNetzA), as a vendor.
  • Provided pre/post-Sales support to the Accounts Team for RfP/RfQ submissions.
Verified expert

Florian B.

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Program & Integration Lead (AI, Data & Analytics Transformation)

Florian B.

Last position:

Project Management / PMO Consultant

PMO & Project Organization Blueprint for Restructuring

Renewable Energy / Solar Equipment

Technologies / Methods: PMO setup, KPI tracking, project organization, Jira, Confluence

  • Developed measures to improve management control during a restruct...

Discover over 15,000 top freelancers

Statistics of experts using R

Aggregated from the professional profiles of matched freelancers.

Experience

13 years

R experts in Germany have 13 years of professional experience on average.

Position duration

2.7 years

R experts in Germany stay in a single position for 2.7 years on average.

Positions per freelancer

9

R experts in Germany have completed 9 positions on average over the course of their careers.

Top business areas

Information Technology, Business Intelligence, Product Development

R experts in Germany have gathered most of their hands-on project experience in Information Technology, Business Intelligence, and Product Development.

Top industries

Information Technology, Education, Professional Services

R experts in Germany are most in demand in Information Technology, Education, and Professional Services.

Certification focus areas

Information Technology, Business Intelligence, Research and Development

R experts in Germany earn their certifications most often in Information Technology, Business Intelligence, and Research and Development.

Bachelor's degree or higher

99%

99% of R experts in Germany hold at least a Bachelor's degree.

Master's degree or higher

82%

82% of R experts in Germany hold at least a Master's degree.

Doctorate

25%

25% of R experts in Germany have a doctorate (PhD).

Certifications per freelancer

3

R experts in Germany hold 3 professional certifications on average.

Most common languages

English, German, French

R experts in Germany most often speak English, German, and French.

Speak two or more languages

100%

100% of R experts in Germany speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
9% of R experts in Germany charge less than €400 per day.
43% of R experts in Germany charge between €400 and €800 per day.
40% of R experts in Germany charge between €800 and €1200 per day.
4% of R experts in Germany charge between €1200 and €1600 per day.
4% of R experts in Germany charge €1600 or more per day.
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.

Discover detailed R rate benchmarks:

Explore rate insights

Average rates of experts in Germany using R

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 722 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 760 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

R experts industry focus

See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.

  • Information Technology (65%)
  • Education (46%)
  • Professional Services (44%)
  • Banking and Finance (40%)
  • Automotive (31%)
  • Healthcare (30%)
  • Manufacturing (28%)
  • Retail (26%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

R for statistical computing

R is an open-source programming language and environment for statistical computing, data analysis and visualisation. It supports exploratory work, reproducible research and production reporting across structured and unstructured datasets. Companies use it to turn raw information into evidence for decisions.

Analysis and modelling

R covers the full analytical workflow, from importing and cleaning data to modelling, validation and communication. Specialists work with regression, time-series analysis, classification, clustering, survival analysis and experiment design. They also create reusable functions and documented notebooks so results can be reviewed and extended.

Packages and tooling

The R ecosystem includes the tidyverse for data preparation and analysis, ggplot2 for visualisation, and Shiny for interactive web applications. Experts may also use R Markdown or Quarto for reports, data.table for high-volume transformations, and renv for package management. Strong work connects these tools with Git, SQL, APIs, cloud storage and automated workflows.

Where companies use it

R appears in research-heavy and data-intensive settings, including healthcare, life sciences, finance, manufacturing, marketing and public services. Typical deliverables include:

  • Statistical models and forecasting pipelines
  • Interactive Shiny dashboards for operational teams
  • Reproducible reports for research and regulatory work
  • Data quality checks and automated reporting
  • Visual analysis for experiments and business decisions

When to bring in expertise

Companies often seek freelance R expertise when an internal team needs advanced statistical capability, a backlog of analysis must be delivered, or a prototype needs to become a dependable application. A specialist can audit existing scripts, improve slow transformations, migrate work from legacy S-style code, or connect R to enterprise data systems. In Germany, remote collaboration is common, while regulated or research projects may benefit from on-site workshops and clear German or English documentation.

What strong professionals bring

Quality goes beyond fluent syntax. Strong R professionals choose methods that fit the data, test assumptions, explain uncertainty and separate exploratory findings from confirmed results. They write maintainable code, manage dependencies, protect sensitive data and make visualisations understandable to their audience. Look for a portfolio showing reproducible workflows, sound statistical reasoning and deliverables that non-specialists can use.

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Frequently asked questions

Key details about R, drawn from the questions we get asked most.

R is mainly used for statistical analysis, data visualisation, forecasting, research and machine learning. It is especially useful when a project needs transparent methods, flexible modelling and clear reporting rather than only basic data manipulation.

R has a particularly deep ecosystem for statistics, academic research, visualisation and analytical reporting. Python often offers broader software integration and general-purpose application tooling, so the right choice depends on the project, existing systems and the team’s adjacent skills.

A strong R professional may also work with SQL, Git, APIs, cloud storage and relational databases. Experience with tidyverse, Shiny, Quarto, statistical testing and data governance is valuable when analysis must become a repeatable business process.

The need depends on the analytical risk and the state of the data. A simple report may need focused package knowledge, while production modelling, regulated research or a Shiny application calls for proven experience with testing, documentation, deployment and review.

R work is often well suited to remote collaboration because scripts, notebooks, repositories and reports can be reviewed digitally. On-site sessions can still help with workshops, sensitive data access or stakeholder alignment, and teams should agree early on whether German, English or both are needed.

R can connect to databases, REST APIs, cloud services, spreadsheets and common file formats. Professionals often combine it with SQL, scheduled jobs and container or server environments so analytical outputs can move into established reporting and operational workflows.

Ask to see how the professional validates assumptions, handles missing data and makes results reproducible. Good evidence includes clean project structure, tested transformations, understandable visualisations and a clear explanation of uncertainty, limitations and business relevance.

GNU R is the widely used free software implementation of the R programming language. In everyday project discussions, R, R programming language and GNU R usually refer to the same practical ecosystem, although distributions and deployment environments can differ.

The average hourly rate of freelancers in Germany who have used R in their recent projects is 90 €, which corresponds to a daily rate of about 722 € based on an 8-hour working day.

Of the freelancers in Germany who have used R in their recent projects, 99% hold at least a Bachelor's degree, 82% hold at least a Master's degree, and 25% hold a doctorate.

On average, freelancers in Germany who have used R in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.7 years.

The most common languages among freelancers in Germany who have used R in their recent projects are English (100%), German (99%), and French (25%).

The most common industries among freelancers in Germany who have used R in their recent projects are Information Technology (65%), Education (46%), and Professional Services (44%).

The most common business areas among freelancers in Germany who have used R in their recent projects are Information Technology (77%), Business Intelligence (72%), and Product Development (67%).

Main locations of FRATCH Experts, who have recently used R

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

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