R Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used R
Dmitry Pankov
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.
Nitin Bhardwaj
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 Mankopf
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
Sascha Schuster
Last position:
Company Operations Officer at GebJgBtl 233
- Responsible for command post operations and leadership support
Ashwin Parthasarathy
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 Look
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
Inbal Ipenberg
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
Mohammad Zare
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.
Ana Rita Gouveia
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.
Ola Akinmade
Last position:
Freelance BI Consultant & Analyst at DocMorris
- Data / product analysis & visualisation in Tableau Desktop
- Stakeholder Management
Nooshin Omranian
Last position:
Senior Computational Biologist at Max-Planck-Institute for Molecular Genetics
- Conducting research at the interface of proteomics and artificial intelligence, focusing on the application of machine learning models (e.g., neural networks, clustering algorithms, and feature extraction) to analyze complex biological datasets.
- Developing and teaching AI-based analytical workflows for molecular and proteomic data, integrating tools such as Python (scikit-learn, TensorFlow, Pandas) for predictive modeling and data visualization.
- Collaborating with interdisciplinary teams to explore data-driven hypotheses in molecular genetics and enhance biological interpretation through AI-assisted pattern recognition.
- Implementing automated data processing pipelines to improve reproducibility and FAIR data management in high-throughput experiments.
Stefan Ojanen
Last position:
AI Consultant & Advisor at Freelance
- Consulting and advisory services for the AI space on product management, strategy, AI models, AI infrastructure
- AI Product Lead for Ringier AG:
- BliKI chatbot for Blick.ch - live, tens of thousands of users
- AI Forge journalist tooling for Blick.ch - live, hundreds of internal users
- Floorian automated ad floor price optimization system - pilot ongoing
- Freelance CTO for an AI-as-a-Service company focusing on automated trading solutions
- AI Agent calls people on the phone at scale, converses to achieve specific goals, and takes action based on how the conversation
- AI Trading bot based on transformer time-series model forecasting future asset prices
Douglas Norberto
Last position:
Independent Data Analyst – Tech & Life Sciences at p53-REACT
- Supported partner centers in adopting AI and LLMs-based predictive models for small-molecule discovery and therapeutic response using their genomic databases, designing failure modes for AI, and reducing feature-engineering time by 25%.
- Performed Python analysis and improved domain motion coverage by 30% through integration of free energy data with conformational modeling, mapping heterogeneous protein states for accurate structure–function analysis.
Carlos Montefusco Pereira
Last position:
Toxicology & Risk Assessment Consultant at European Food Safety Authority
- Conduct scientific evaluations and risk assessments for substances and materials with relevance to human health, including nanoparticle safety.
Deependra Pokhrel
Last position:
Data Specialist at Cloud Factory
- As a Data Specialist, I leveraged analytical expertise to transform raw data into actionable insights, driving strategic decision-making and operational improvements. My role encompassed data interpretation, reporting automation, and cross-functional collaboration, utilizing advanced tools such as Microsoft Excel, Power BI, and Python for comprehensive data analysis.
- Implemented Python scripts to validate and reconcile large datasets, reducing manual errors and improving data reliability.
- Utilized Python (Pandas, NumPy, Matplotlib/Seaborn) to automate data cleaning, analysis, and visualization, improving efficiency and accuracy in reporting.
- Developed interactive dashboards in Power BI to present key metrics, trends, and performance indicators, facilitating real-time decision-making.
- Designed and executed automated reports using Excel (Pivot Tables, Power Query, VBA) and Power BI, ensuring data accuracy and consistency across departments.
- Data Analysis: Excel (Advanced Pivot Tables, Power Query), Power BI (DAX, Data Modeling), Python (Pandas, NumPy, Visualization Libraries)
- Automation & Reporting: Power BI Dashboards, Excel Macros (VBA), Python Scripting.
Discover over 15,000 top freelancers
Statistics of experts using R
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 14 years)
Position duration
2.4 years (Germany: 2.8 years)
Positions per freelancer
7 (Germany: 9)
Top business areas
Research and Development, Information Technology, Product Development
Top industries
Information Technology, Education, 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
73% (Germany: 81%)
Doctorate
38% (Germany: 27%)
Certifications per freelancer
1 (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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Data work
R is used for analysis, modelling, and reporting where data needs to be explored quickly and explained clearly. It is common in research, finance, public sector work, product analytics, and life sciences. Strong professionals turn raw data into repeatable output, not one-off scripts.
Core stack
- dplyr, tidyr, and readr for clean data preparation
- ggplot2 for charts and data stories
- Shiny for interactive internal tools and dashboards
- Quarto and R Markdown for reports that can be reused
- packages for statistics, forecasting, and text work
When to hire
Companies usually bring in freelance expertise when a dataset, model, or report pipeline needs to move fast without losing rigour. That includes cleaning messy inputs, rebuilding legacy scripts, reviewing analysis code, or adding a Shiny interface for business users. In Berlin, this often fits teams that work across research, media, health, and data-heavy product groups.
What strong experts do
A strong R specialist writes code that is easy to read, test, and rerun. They know how to handle missing values, factor levels, joins, visual checks, and package management. They also explain assumptions clearly, which matters when analysis is shared with people outside the technical team.
Typical projects
- exploratory analysis and statistical summaries
- forecasting and regression work
- automated reporting pipelines
- Shiny applications for internal use
- package development and code review
Team fit
R often sits next to SQL, Python, Excel, and cloud data tools. The best freelancers know where R is the right tool and where to connect it to other systems. For Berlin teams, that usually means clear written communication, clean handover, and remote collaboration when the work is not tied to a lab or office setup.
Frequently asked questions
Questions about R? Start with the answers below.
R is used for data analysis, statistics, visualisation, and reporting. Companies rely on it for exploratory work, reproducible research, forecasting, and internal tools built with Shiny. It is a strong fit when the output must be explainable as well as correct.
R is often chosen when statistical analysis, plotting, and report writing are the main tasks. Python is broader for software and automation, while R has a very deep ecosystem for analysis and publication-style output. The better choice depends on the team’s stack and on how much the work centres on statistics versus product development.
A strong R specialist usually knows data cleaning, visualisation, modelling, and reproducible reporting. Look for comfort with dplyr, ggplot2, Shiny, Quarto, and package structure. Clear communication matters too, because the work often needs to be explained to non-specialists.
Companies bring in R expertise when a project needs fast analysis, a clean report pipeline, or a Shiny app and the internal team is stretched. It also helps when legacy scripts need review or when a model must be documented for others to use. Freelancers are useful for both short fixes and longer analytical work.
Yes. R is still a solid choice for Shiny applications, especially for internal dashboards, research tools, and data review workflows. If the main need is quick interaction with live data and clear analysis logic, Shiny remains a practical option.
Absolutely. R work is often easy to do remotely because most tasks are code, data, and written review. In Berlin, some teams prefer occasional on-site sessions for workshops or stakeholder reviews, but day-to-day collaboration usually works well online.
A good R freelancer leaves behind readable code, reusable functions, and a clear explanation of assumptions. Review whether they use version control, write reproducible workflows, and separate data preparation from reporting. Clean handover matters as much as the final analysis.
The main alternatives to R are Python, Excel, SQL, and sometimes specialised BI tools. R is often stronger when the project depends on statistical methods, publication-quality graphics, or a well-structured analysis report. For many teams, the best setup combines R with SQL and other tools rather than replacing everything with one language.
The average hourly rate of freelancers in Berlin, Germany who have used R in their recent projects is 115 €, which corresponds to a daily rate of about 922 € 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, 73% 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 2.4 years.
The most common languages among freelancers in Berlin, Germany who have used R in their recent projects are German (100%), English (100%), and Spanish (19%).
The most common industries among freelancers in Berlin, Germany who have used R in their recent projects are Information Technology (59%), Education (52%), and Professional Services (48%).
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 (74%).
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 Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
