R Experts in Munich
matched in minutes from over 15,000 CVs with the power of AIHire experts who use R for statistical analysis, data visualization, reporting, and reproducible research. They work with tidyverse, Shiny, and package development, and they support both analytics tasks and production data workflows with fast, precise matching and vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used R
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
André Howe
Last position:
Linux IT Admin at ReiserST
- Development and maintenance of IT architectures with embedded Linux systems.
- Designing, implementing, and optimizing backend applications and script-based solutions.
- Analyzing and resolving issues, including troubleshooting and user support.
- Developing and implementing security concepts for cloud solutions.
- Administering networks (DHCP, DNS, NTP, VPN).
- Technologies: Linux, PowerShell, Bash, Python, Ansible, Kubernetes, GitLab CI.
- Methods: Kanban.
Valery Khamenya
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Serge Kalinin
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Bernd Steckenbauer
Last position:
Business Data Analyst | PowerBI & Microsoft SQL Server at think-cell Software GmbH
- Performance optimization and centralization of reporting by creating data models using SSMS (SQL) & SSAS (DAX) and integrating data via SSIS
- Optimizing and extending the current PowerBI dataset (in parallel until the SSAS data model is ready)
- Expanding current reports (migrating reporting to SSAS source after building the SSAS data model)
- Conducting regression analyses, cohort analyses, price/quantity analyses, and strategy project success analyses
- Training internal team members
Christian Schulz
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Sebastian Dirndorfer
Last position:
Data Scientist at CLADE GmbH
- Designed and implemented a robust Python-based data processing framework that supported the transition from R to Python and significantly improved data science productivity by providing maintainable, standardized modules for frequently used workflows, following coding best practices and DevOps principles
- Evaluated, trained, and deployed machine learning models on cloud platforms and edge devices, enabling fully automated mid-infrared (MIR) data evaluation pipelines that eliminated manual analysis steps and significantly shortened the time from measurement to prediction for customers and internal stakeholders
- Analyzed and interpreted multivariate MIR spectral data from the company’s proprietary analyzer using R and Python, supporting reliable identification and quantitation of chemical compounds in solution
Vibhu Kumar
Last position:
Senior Product Manager at MediaMarktSaturn
- Led development and management of advanced data products and reporting solutions, driving €11M revenue in 2023. Hired and mentored a product manager to enhance product capabilities, enabling brands to gain closed-loop measurement insights.
- Defined product vision and strategy for offsite product domain globally, enabling brands to engage their most valuable customers throughout the omnichannel customer journey.
- Initiated and led data-driven martech and adtech innovations, laying groundwork for AI-powered personalization and targeted marketing across 12 countries.
Elias Reißner
Last position:
Interim Recruiter at Ippen Digital
Led end-to-end recruitment
Will Cade
Last position:
Freelance Writer | UX Content Designer | AI Content Engineer at Cade Communications
- Airbus: Forum - feature writing on technology for internal employee magazines
- Bosch: Security and Safety Systems - feature writing and copy writing for industry magazines and social media
- Dassault Systemes: 3DExcite - screenwriting for corporate vision videos on digital transformation
- Deutsche Telekom: Brand & Design - copywriting and translating guidelines and books on design thinking
- GoTo: LogMeIn Rescue & GoTo Admin - UX writing and AI prompt engineering for IT support software
- MTU Aero Engines: Aeroreport - judging and ranking the editorial quality of B2B and B2C translations
- Siemens: Financial Services - copywriting and editing for internal finance sites and newsletters
- Zeiss: Beyond Design System - UX writing for voice & tone guidelines to help improve conversational AI
Stephan Sahm
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
David Huber
Last position:
Consultant for AI Strategy and Digitization at ai-strategy.io
- AI vision development: Match external best practices with analysis of processes, interfaces, stakeholders, data flows, and output KPI, creating a long-term target picture of process automation and AI augmentation
- Curated employee training framework, e.g. for public service foundation: Basics of AI, generative AI applications, evaluation of human judgement and machine control in socially critical applications
- Implemented advanced upskilling courses specialized for product managers: Using AI in innovation, portfolio management, process automation, and marketing to promote novel products and services
- Multiple keynote speaker: AI-driven organizational transformation powered by cultural transformation and forward-looking leadership practices
- Ongoing exchange of expertise and experiences with personal network of leading AI strategists at multinational corporations, e.g., Siemens, Mercedes-Benz, BMW, McDonald’s, Adidas, Linde, Infineon, TÜV Süd, to collect business best practices
- Cooperation with expert leadership networks, e.g. TEC Leadership Institute and PM1 to strengthen impact through increased reach across organizations and industries
Vladislav Goihman
Last position:
Career Coach at Vladislav Goihman
- Responsible for providing one-to-one support to over 40 clients per month for targeted career development in the tech sector
- Strategic optimization of application documents and LinkedIn profiles to measurably increase interview and placement rates
- Development and management of practical workshops to position clients in line with current market and recruiting trends
- Individual career counseling with a focus on visibility, branding and access to top employers
- Management of the client experience in close coordination with global Recruiting & Talent teams to ensure high coaching standards
Borui Li
Last position:
Spectral Analysis of Neural Network Kernels at Borui Li Projects
- Explored the impact of neural network structure on network-inspired kernels, such as Neural Tangent Kernel (NTK).
- Demonstrated through theoretical analysis and empirical studies that the RKHS of NNGP is a subspace of NTK.
- Explored the connections between these kernels and the Matérn family.
Discover over 15,000 top freelancers
Statistics of experts using R
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 14 years)
Position duration
2.1 years (Germany: 2.8 years)
Positions per freelancer
11 (Germany: 9)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100% (Germany: 99%)
Master's degree or higher
85% (Germany: 81%)
Doctorate
22% (Germany: 27%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 99%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using R
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What R is for
R is a language for statistics, data analysis, and graphics. Companies use it to explore data, build models, and present results clearly. It is common in reporting, research, and any work where analytical depth matters.
Common R work
- Data cleaning and transformation
- Statistical analysis and modeling
- Dashboards and interactive apps with Shiny
- Reproducible reports with Quarto or R Markdown
- Visualization for business and research teams
Ecosystem and tooling
Strong R professionals work across the tidyverse, data.table, Shiny, ggplot2, and package tooling. They know how to manage environments, structure scripts, and keep analyses repeatable. Many also connect R with databases, APIs, and Python when projects need both worlds.
When companies bring in experts
Teams often need freelance support when an analysis must be delivered fast, an existing codebase is hard to maintain, or a prototype needs to become a usable tool. In Munich, R experts are often valuable for analytics-heavy work in finance, mobility, insurance, life sciences, and research settings. Remote work is common, but on-site collaboration can help when stakeholders need close alignment.
What strong specialists do
Good R specialists write clear code that others can review and reuse. They separate data preparation, analysis, and presentation, and they document assumptions so results are easier to trust. They also know when a script should stay simple and when a package, function, or app is the better fit.
R and related names
Searchers may look for R as the R language, GNU R, or the R Project. All of these point to the same core ecosystem for statistical computing. The best freelancers understand the language itself as well as the tools around it, so they can support both ad hoc analysis and long-term analytical code.
Frequently asked questions
Before you brief your next project: the most common questions about R.
R is used for statistical analysis, data cleaning, visualization, and reporting. It is a strong fit when the work depends on rigorous analysis, clear charts, or reproducible output. Many teams also use it for Shiny apps and research workflows.
R is often chosen for statistics-first work, rich plotting, and established analytical workflows. Python is broader for general software tasks, while R is especially strong for data exploration and reporting. The right choice depends on whether the project is analysis-heavy or part of a wider application stack.
A strong R specialist usually knows tidyverse, ggplot2, Shiny, data.table, and Quarto or R Markdown. Database access, API work, and basic SQL are also common. For production work, package structure and testing matter a lot.
Small reporting tasks can be handled by a focused R expert who understands the data and the business question. More complex modeling, app work, or legacy code needs someone who can read existing scripts, improve structure, and explain the results. The key is fit, not just time spent with the language.
Yes. Many R projects can be handled remotely because the work is often code, analysis, and review based. In Munich, on-site time can still help when teams need workshops, handover sessions, or close collaboration with analysts and stakeholders.
Ask which parts of R they have used in real projects: analysis, dashboards, reporting, or package development. Also ask how they test their work, how they document assumptions, and how they keep outputs reproducible. Those answers tell you much more than a list of tools.
Yes. R and Shiny are still a common combination when a team needs an internal tool or a light web app for data exploration. A good specialist can tell you when Shiny is the right choice and when a static report is enough.
A strong R freelancer writes code that is easy to maintain and easy to review. They use clean data pipelines, clear variable names, and reproducible steps, and they can explain the result in plain language. They also know the difference between a quick analysis and something that should become a reusable component.
The average hourly rate of freelancers in Munich, Germany who have used R in their recent projects is 95 €, which corresponds to a daily rate of about 761 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used R in their recent projects, 100% hold at least a Bachelor's degree, 85% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Munich, Germany who have used R in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Munich, Germany who have used R in their recent projects are German (100%), English (100%), and Spanish (36%).
The most common industries among freelancers in Munich, Germany who have used R in their recent projects are Information Technology (82%), Professional Services (57%), and Automotive (46%).
The most common business areas among freelancers in Munich, Germany who have used R in their recent projects are Business Intelligence (79%), Information Technology (75%), and Product Development (71%).
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.
Berlin 
Hamburg 
Cologne 
Frankfurt 
Dusseldorf 
Essen Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
