RapidMiner Experts in Germany
matched in minutes with vetted, available freelance specialistsHire experts who prepare data, design visual workflows and deploy predictive models with RapidMiner Studio, Python and SQL. Get precise AI matching with vetted, available freelancers who can support analytics projects remotely or on site in Germany.
Meet FRATCH Experts in Germany, who have recently used RapidMiner
Philipp G.
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
Dieter R.
Last position:
Driver analyses at Genactis GmbH
- Calculation of attribute importance based on driver analyses
- Interpretation, reporting, and consulting
Michael S.
Last position:
Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI-based and classical models for analyzing medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, and referral profile analyses. Analyses in the area of Real World Evidence.
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of the results using customer dashboards
- Developing and implementing DWH adjustments
- Deriving recommendations for action
Methods, technologies: Simulation, Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, Elasticsearch, PostgreSQL, Databricks, Multivariate Statistics
Marc M.
Last position:
Freelance Data Specialist at BrightlySoftware – A Siemens Company
- Migration of customer data from a private cloud to AWS
- Optimizing data transformation jobs and migration from Talend to AWS Glue
- Automation of all migration steps
- Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark
Axel K.
Last position:
Data Engineer & Business Analyst at Metafinanz
- Migration of existing data jobs from Cognos Data Manager to Tibco/IBI Datamigrator
- Migration data jobs parametrisation for dynamic runs
- Optimisation and cutting-back
- Regression tests
- Knowledge transfer and documentation
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Martin M.
Last position:
Freelance Data Architect at Zeppelin
- Evaluation and scoring of various technologies as future telematics platform (Kafka Streams, Spark, Splunk, Snowflake)
- Improve test framework and scalability of Telematics streaming service (Scala, Property-Based Testing, Kafka, Kafka Streams, Kubernetes)
Salvatore C.
Last position:
Startup Program Manager at BRYCK Startup Alliance
- Managing the new BRYCK Startup Alliance Accelerator with a dedicated team of 3 people
- Funnelling startups from all verticals (energy, water, chemicals, materials, proptech and real estate, personalised medicine, secure & intelligent systems) into one unique accelerator structure
- Managing services, supporting connections to other programs and investment opportunities
- Facilitating growth opportunities through pilot programs
Lukasz U.
Last position:
Fractional CFO at URBAN CFO Services
I help growing mid-sized companies (from 3M EUR revenue) gain financial transparency and control – without hiring a full-time CFO.
My clients come from three areas: Fast-growing SMEs needing professional finance structures, German companies with Polish subsidiaries (or vice versa) requiring transparent cross-border financial management, and succession candidates preparing their company for sale.
What I do: I implement professional finance systems tailored to the business model – no massive IT projects, no bureaucracy. I build CFO cockpits (13-week cashflow forecasts, KPI dashboards, profitability analyses), run monthly reviews, develop business cases, and support bank communication.
For cross-border projects between Germany and Poland, I serve as bilingual finance partner: headquarters gain transparency and control, subsidiaries get professional processes and clear communication. I speak both languages and understand both cultures.
For succession projects, I prepare companies for sale or transition – transparent financials typically increase sale price by 15-30%.
Typical results after 90 days: Cashflow transparency instead of "hope and pray", 10-15 hours/week saved, higher profitability through cost optimization, fact-based decisions instead of gut feeling.
20 years finance experience from VW, PwC, Bosch, PowerCo – but pragmatic and at eye level with SMEs, not corporate overhead.
Michael B.
Last position:
Self-employed at Self-employed
Digital agency for UX/UI design & online marketing
Discover over 15,000 top freelancers
Statistics of experts using RapidMiner
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
3 years
Positions per freelancer
14
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Business Intelligence, Information Technology, Research and Development
Bachelor's degree or higher
90%
Master's degree or higher
80%
Doctorate
10%
Certifications per freelancer
5
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 Germany 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 Germany using RapidMiner
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.
RapidMiner 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 (90%)
- Professional Services (70%)
- Automotive (60%)
- Energy (50%)
- Banking and Finance (50%)
- Manufacturing (50%)
- Advertising (40%)
- Transportation (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
RapidMiner in practice
RapidMiner is a visual data science and machine learning platform for preparing data, exploring patterns and creating predictive workflows. Its drag-and-drop design helps teams connect data sources, transform datasets, train models and evaluate results without writing every step from scratch. The product is also known as RapidMiner Studio and Altair RapidMiner.
Typical use cases
RapidMiner supports analytical work across business and industrial settings, from customer insight to operational forecasting.
- Classification, regression and clustering workflows
- Customer segmentation and churn analysis
- Anomaly detection and predictive maintenance
- Data preparation, feature engineering and model validation
Ecosystem and tooling
Strong RapidMiner work often connects the platform with SQL databases, spreadsheets, cloud storage and enterprise data warehouses. Professionals may combine visual operators with Python or R scripts, REST services and notebooks. Knowledge of pandas, scikit-learn, Git and deployment practices can extend a RapidMiner workflow beyond exploration.
When companies need specialists
Companies bring in freelance expertise when an internal team has data but lacks a repeatable path from raw records to a usable model. Support is useful during platform adoption, workflow redesign, model comparison, documentation and handover. In Germany, remote collaboration is common, while regulated or production-focused projects may require on-site workshops and German-language communication.
What strong professionals deliver
Reliable specialists understand both the RapidMiner interface and the reasoning behind each analytical decision. They define target variables carefully, prevent leakage, choose suitable validation methods and explain model limits to business teams. They also keep processes reproducible through clear naming, documented operators, versioned data inputs and practical deployment guidance.
Project readiness signals
A company is ready to engage a RapidMiner specialist when its analytical goals are clear but execution is blocked by fragmented data or uncertain methods.
- Data arrives from several systems and needs consistent preparation
- Existing workflows are difficult to audit or maintain
- Models need comparison, validation or business interpretation
- A proof of concept must become a repeatable process
- Teams need enablement, documentation or a structured handover
Frequently asked questions
Need clarity? These are the questions we hear most often about RapidMiner.
RapidMiner is used to prepare data, build machine learning workflows and evaluate analytical models through a visual interface. Teams use it for classification, forecasting, segmentation, anomaly detection and other predictive tasks.
RapidMiner Studio offers visual workflow design, which can help teams inspect and explain each processing step. Python and R provide broader programming flexibility and library access, so many projects combine RapidMiner with scripts rather than treating the tools as exclusive alternatives.
A strong RapidMiner specialist should understand SQL, data quality, statistics and machine learning fundamentals. Experience with Python, R, APIs, cloud storage, Git and model deployment is valuable when workflows must connect with wider production systems.
Altair RapidMiner projects vary from a focused data preparation workflow to a broader model development and deployment process. The right level of experience depends on data complexity, integration needs, governance and whether the result is an experiment or a maintained business process.
RapidMiner work is often suitable for remote collaboration because workflows, datasets and documentation can be reviewed online. On-site sessions may still help with stakeholder workshops, access to restricted systems or process discovery, and German or English communication should be agreed at the start.
Ask the RapidMiner freelancer to explain a comparable workflow from source data through validation and delivery. Review how they handle missing values, leakage, sampling, reproducibility and model interpretation, not only how polished the visual process looks.
RapidMiner Studio can support repeatable analytical workflows and model development, but production suitability depends on integration, monitoring, security and operational ownership. A specialist should show how the workflow will be tested, scheduled, documented and connected to the systems that consume its output.
Rapid-I was the former company name associated with the product before it became known as RapidMiner. Today, searchers may encounter RapidMiner Studio or Altair RapidMiner, so project briefs should confirm the exact product edition and available integrations.
The average hourly rate of freelancers in Germany who have used RapidMiner in their recent projects is 98 €, which corresponds to a daily rate of about 786 € based on an 8-hour working day.
Of the freelancers in Germany who have used RapidMiner in their recent projects, 90% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Germany who have used RapidMiner in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Germany who have used RapidMiner in their recent projects are German (100%), English (100%), and French (40%).
The most common industries among freelancers in Germany who have used RapidMiner in their recent projects are Information Technology (90%), Professional Services (70%), and Automotive (60%).
The most common business areas among freelancers in Germany who have used RapidMiner in their recent projects are Business Intelligence (90%), Information Technology (80%), and Product Development (60%).
Main locations of FRATCH Experts, who have recently used RapidMiner
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 Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
