R Experts in Berlin
matched in minutes by AIHire experts who turn complex datasets into reliable analysis, statistical models and clear visualizations with R, tidyverse and Shiny. FRATCH connects you quickly with vetted, available freelancers whose skills match your project and collaboration needs.
Meet FRATCH Experts in Berlin, who have recently used R
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
- Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
- Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization, and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
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.
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.
Nikolai G.
Last position:
Clinical Data Manager at Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
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
Raphael M.
Last position:
Founder / Quant Developer at Market Maker
- Crypto quant strategy development, automated trade execution, onchain data client (Ethereum / Solana)
- Data and trade architecture development for liquidity provision
Toralf C.
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as the frontend framework and Java as the backend language
- Use of the Swagger OpenAPI specification for REST communication between the frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with a web interface and a JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts to test outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to monitor the REST API of the self-developed software
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
Sascha S.
Last position:
Company Operations Officer at GebJgBtl 233
- Responsible for command post operations and leadership support
David B.
Last position:
Senior UX Researcher & Strategic Consultant at adidas
- Leading mixed-methods discovery for the adidas Running App, using interviews, surveys (incl. choice-modeling), and AI-powered market/app-review intelligence to surface user needs and engagement opportunities.
- Partnering closely with Product, Content Storytelling, CRM, and Analytics teams to translate insights into product direction, segmentation opportunities, and rapid experimentation.
- Synthesizing extensive internal and external research to map knowns, identify critical knowledge gaps, and build an evidence-based research roadmap that supports continuous discovery and optimization.
- Championing AI-supported research practices by guiding cross-functional teams in leveraging AI for faster user feedback synthesis, market intelligence, and rapid workflows.
Ashwin P.
Last position:
Data Scientist at Mercor Intelligence
- Elevated LLM output reliability by engineering domain-specific prompts and evaluation logic, improving reasoning consistency across production language model workflows.
- Designed advanced coding benchmarks and validated solutions to strengthen training and evaluation datasets, improving model performance on technical problem-solving tasks.
- Designed and implemented automated evaluation frameworks for technical reasoning tasks; optimized LLM output reliability by 15% through rigorous prompt engineering and rubric-based benchmarking.
Julien L.
Last position:
MLOps Engineer at SAMGEN
- Building and scaling cloud infrastructure on GCP to support a SaaS platform for industrial clients
- Designing and implementing a data-driven DevOps pipeline for streamlined deployment and CI/CD workflows
- Collaborating with Data Science team on MLOps workflow to automate integrated retraining
Mohammad Z.
Last position:
Scientist & Project Manager (Data-Driven Climate Analytics) at Leibniz Institute for Agricultural Engineering (ATB)
- Developed AI-powered analytics tools for drought prediction using CMIP6 data.
- Integrated UAV and satellite imagery to optimize predictive models for drought resilience.
- Designed a Decision Support System (DSS) for integrated water resources management.
- Partnered with industry and research institutions to deliver environmental monitoring solutions.
- Managed international projects, aligning data science innovations with policy and business goals.
Inbal I.
Last position:
Patent Engineer, Life Sciences at Schulz Junghans Patentanwälte PartGmbB
- Generated and submitted a complete patent application to the European Patent Office
- Drafted comprehensive patent applications, including detailed claim sections
- Analyzed inventions from multiple projects to identify innovative aspects
- Conducted comprehensive research on the state of the art and communicated results to stakeholders
- Collaborated with customers and various stakeholders to coordinate patent objectives and develop patent portfolios
Ana Rita G.
Last position:
Marketing Consultant & Coach at Self-employed
- Fractional marketing leader, conducting audits and leading projects while advising C-level stakeholders on infrastructure, performance, and operations.
- Developing performance management frameworks including CAC/LTV analysis, target setting, OKRs, and KPI alignment across regional segments and acquisition channels.
- Developing segmentation strategies, ICP profiles, and full-funnel structures in collaboration with marketing and sales teams.
- Supporting CRM (HubSpot) implementation and developing the marketing framework for lead scoring, attribution, lifecycle journeys, reporting, and cross-team processes.
- Coaching cross-functional stakeholders through complex strategic processes, driving alignment across marketing, sales, product, and business analytics.
- Developed executive-level reports and presentations with project outcomes and actionable insights to support business decisions.
- Supporting GTM activities including new market launches and agency procurement.
- Hiring, onboarding, and coaching digital marketing teams.
Discover over 15,000 top freelancers
Statistics of experts using R
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 13 years)
Position duration
2.1 years (Germany: 2.7 years)
Positions per freelancer
7 (Germany: 9)
Top business areas
Research and Development, Information Technology, Product Development
Top industries
Education, Information Technology, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100% (Germany: 99%)
Master's degree or higher
78% (Germany: 83%)
Doctorate
38% (Germany: 25%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin 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 Berlin 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 19 Sep 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.
- Education (57%)
- Information Technology (57%)
- Professional Services (52%)
- Banking and Finance (40%)
- Automotive (24%)
- Healthcare (24%)
- Government and Administration (24%)
- Retail (24%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What R does
R is a programming language and environment for statistical computing, data analysis and visualization. Companies use it to explore structured data, test hypotheses, create forecasts and communicate findings through reproducible reports. It is widely used in research, finance, healthcare, marketing and public policy.
Core ecosystem
The R ecosystem combines base R with packages from CRAN and the tidyverse. Strong specialists work with dplyr for data transformation, ggplot2 for visualization, tidyr for reshaping and readr for importing files. They may also use data.table, R Markdown, Quarto and Shiny for production-ready analysis and interactive applications.
Typical deliverables
- Data cleaning pipelines that join, validate and reshape source data
- Statistical models for inference, segmentation and forecasting
- ggplot2 dashboards, reports and presentation-ready visualizations
- Shiny applications for interactive exploration and decision support
R work often connects to SQL databases, cloud storage, APIs and business intelligence tools. Specialists should understand how analysis moves from raw data to a documented result that others can review and reuse.
When companies need help
Companies bring in freelance R expertise when internal teams face a complex dataset, a demanding analysis or a fixed delivery window. The need may involve validating an existing model, migrating scripts, automating recurring reports or turning research code into a Shiny application. Berlin teams often combine local workshops with remote delivery, so clear communication matters.
Skills around R
Reliable R work depends on more than package knowledge. Look for experience with statistical reasoning, data quality checks, version control and reproducible workflows. Depending on the project, useful adjacent skills include SQL, Python, Git, APIs, cloud services, Docker and domain knowledge in areas such as clinical research, risk or customer analytics.
What strong specialists show
A strong professional explains assumptions, limitations and model choices in plain language. They structure scripts into readable functions, manage dependencies and add checks before results reach stakeholders. Good work includes documented inputs, reproducible outputs and visualizations that answer a business question rather than merely displaying data. They also know when R is the right tool and when another approach is more suitable.
Frequently asked questions
Questions about R? Start with the answers below.
R is used for statistical analysis, forecasting, experimentation, data visualization and reproducible reporting. Specialists also use it to create Shiny applications that let teams explore data through interactive interfaces.
R has deep strengths in statistics, research workflows and specialized analytical packages, while Python is often preferred for broad software integration and machine learning production systems. The right choice depends on the existing stack, the type of analysis and how the final result will be operated.
A capable R specialist may also work with SQL, Git, APIs and cloud data stores. For reporting and applications, experience with Quarto, R Markdown, Shiny, Docker or dashboard tools can be especially useful.
The required depth depends on the work. A clean visualization may need focused package knowledge, while regulated analysis, forecasting or a production Shiny application calls for strong statistical judgment, testing and documentation.
Yes. R projects are often well suited to remote collaboration because code, data specifications and reports can be reviewed asynchronously. For Berlin-based teams, occasional on-site workshops can help align stakeholders, while English or German communication can be agreed at the start.
R is a stronger choice when data must be processed repeatedly, methods need to be documented or analysis must be reproduced by others. It also handles larger workflows, statistical models and automated reports more reliably than manual spreadsheet work.
Ask for a clear explanation of the data flow, assumptions and validation steps. High-quality R work is readable, reproducible and tested, with visualizations that support a defined decision rather than hiding uncertainty.
A freelancer should clarify the data sources, access rules, expected outputs and definition of success before writing code. R work also benefits from an agreed package-management approach, version-control process and review path for models, reports or Shiny applications.
The average hourly rate of freelancers in Berlin, Germany who have used R in their recent projects is 99 €, which corresponds to a daily rate of about 793 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used R in their recent projects, 100% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 38% hold a doctorate.
On average, freelancers in Berlin, Germany who have used R in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used R in their recent projects are German (100%), English (100%), and French (21%).
The most common industries among freelancers in Berlin, Germany who have used R in their recent projects are Education (57%), Information Technology (57%), and Professional Services (52%).
The most common business areas among freelancers in Berlin, Germany who have used R in their recent projects are Research and Development (81%), Information Technology (74%), and Product Development (69%).
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.
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen Countries:
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