Design of Experiments Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Design of Experiments
Gilad Gotesman
Last position:
European Strategy Atlas – Independent Analytics & Decision-Support Project at Independent Project
Designed and built an end-to-end interactive decision-support application using public European data across 27 EU countries and multiple strategic dimensions. Developed a structured analytical methodology for comparing countries, identifying patterns and trade-offs, and exploring strategic choices rather than presenting static dashboards. Translated complex multidimensional data into guided interactive exploration and learning workflows for non-specialist users. Built the application end-to-end using Python and Streamlit, with AI-assisted development and Git-based version control. Developed the project independently from problem framing and data analysis through methodology, UX logic, implementation and deployment.
Tools: Python, Streamlit, Git, AI-assisted development
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Ammar A.
Last position:
Software Development | Test & Validation | Data & AI Engineering
- Requirement-based test case design for automated parking maneuvers.
- Implementing and running test cases.
- Integration within the existing AVP (Automated Valet Parking) SW framework.
Michael Müller
Last position:
Project Coordination & On-Site Management - Pharma Plant Construction at OPTIMA Pharma GmbH
Assembly and start-up of pharmaceutical filling lines; supported three vial lines through successful FAT and one syringe line through successful SAT.
Jörg Schemminger
Last position:
Engineer & Founder at SchemTech
- Developed hybrid digital twins to enable a deep understanding of processes
- Supported improved decision-making and outcomes in industrial R&D and manufacturing
Andre Schneider
Last position:
Interim Project Manager at OptiManage GmbH
- Project manager in engineering, cost, quality, and scheduling
- Manufacturing of plastic interior trim parts
Isaac Udoh
Last position:
Global Head of Quality, Safety and Regulatory Affairs at RKW SE
Development and implementation of global quality, safety and regulatory affairs strategies.
Transformations in quality, safety, and regulatory affairs.
Lead RKW to deliver the quality promised to the customers and grow the business.
Lead RKW to successfully achieve the zero-safety incident journey.
Lead RKW to successfully achieve regulatory affairs compliance journey.
Envisioned, designed, and implemented a global quality, safety and regulatory affairs strategy for the RKW global business.
Successfully involved all 14 RKW sites in global quality and safety plan as lead site and/or roll out site.
Introduced safety, quality, master plan and safety A3 to all 14 RKW sites contributing to double digits €-Million EBITDA Y2024.
Included quality and safety into the company bonus system.
Led global workshops to build Root Cause Problem Solving capability across entire company (209 persons trained) and Job Safety Analysis capability (100 persons trained).
Introduced globally the top 3 quality defects/losses elimination using RCPS tool contributing to double digits €-Million EBITDA Y2024.
Regained confidence of top customers (Procter & Gamble, Essity, Ontex) via solid implementation of global quality strategy.
Reduced cost of claims by 35% (Y2024 vs Y2023).
Established a solid safety foundation and standards enabling continuous improvements in incident rate globally.
Kumar Gaurav Bansal
Last position:
Commissioning & Deployment Engineer at Amazon
- Technically leading the commissioning and installation of SPP machines in collaboration with the local site teams, representing Amazon’s MSP (Mechatronics & Sustainability Packaging) team as a single POC. Cross collaboration and coordination with the external vendors for the successful execution of the project.
- Supporting the teams in technical analysis and RCA with continued focus on the volume steep ramp.
- Internal and external stakeholder management, complete project management, technical documentation, and strong communication.
- Collaboration with other european sites to share best practices.
Zoran Popov
Last position:
Founder & Automotive Consultant at QM-Service Automotive
- Consulted for Daimler AG, Porsche, BMW, Smart and global supply industry players including VW, Continental, Magna, Webasto, JCI, Mahle, Valeo, Grammer, Woco, Hella, Brose, Faurecia, Lear and Dräxlmaier
- Achieved ISO TS 16949 certification within 12 months instead of two years
- Implemented and trained the QM department; managed production and plant operations
- Executed the Poland relocation of Tier 1 VW Passat sealing systems production (360 workplaces)
- Led the Slovenia Porsche AG OEM headlights project: supplier development, Q-gates implementation, boundary samples definition, intensive operator training, productivity increase, cost reduction, shop floor Pareto error evaluations, corrective actions, and ensured IATF 16949 & VDA 6.3 certifications and delivery quantities
Jad Nohra
Last position:
Software Developer at Side Project
- Vram.run: Rust, TypeScript, HF Inference API with 19 providers, 220+ HW configs, and 30+ cloud GPUs. Search a model to see which API providers serve it, which GPUs can run it locally (and how fast), and what cloud rental would cost. Or search your hardware and see what fits. Also includes a Rust CLI.
- Psychotron: JavaScript, Web Audio API, AudioWorklet, Canvas 2D. Front-end for flash fiction audiobook with Web Audio DSP chain featuring pitch-shifting, 12-voice chorus, flanger, 13-band EQ, and convolver reverb. Includes a 2D canvas effect morphing engine and synchronized teleprompter.
- RecentWork: Swift, macOS, FSEvents, launchd. macOS daemon that watches project directories and maintains a flat folder of symlinks to recently modified files. Homebrew installable.
- Mini-llm: Bash, macOS, launchd, Ollama, llama.cpp, MLX, Open WebUI. Single command that turns a Mac Mini into a headless AI server.
- ThatSlop: JavaScript. Chrome/Firefox extension for AI content detection on LinkedIn and Twitter.
- Smux: Bash, tmux. Human-friendly tmux wrapper that is Homebrew installable.
- Learn Rust Course: Rust. Course on Rust’s memory model for C++ programmers, written from experience of transitioning from C++ to Rust at Irreducible.
Jovan Jelic
Last position:
CSV Manager, Technical Engineering at CureVac Printer GmbH
- Assist with the development of system requirements and specifications to ensure requirements are testable and 21 CFR Part 11 requirements are met
- Coach implementation teams in the proper execution of validation documents
- Evaluate proposed changes to validated computer systems and recommend level of validation activities required
- Coordinate audits of internal computer systems validation activities, protocols and procedures, and prepare responses
- Identify and qualify all computer systems impacting cGMP operations using a risk-based methodology
- Develop CFR Part 11 computer systems validation plans, qualification test protocols, traceability matrices, reports, IQ/OQ protocols and all deliverables within the scope of the validation plan
- Develop and maintain test plans, test scripts and user acceptance tests and manage their execution
- Act as CSV lead for all validation projects and execute or oversee validation plans and documents
- Perform project management activities for the CSV process within the scope of system projects
- Work with project manager to include validation activities in implementation timelines
- Manage internal CSV resources to facilitate completion of qualification activities
- Ensure initiation, preparation and closeout of all CSV-related deviations, discrepancies and change control documents
- Work closely with Validation Manager and QA Compliance to ensure appropriate validation of cGMP computer systems
- Conduct or facilitate validation and 21 CFR Part 11 training
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.
Thomas Freudemann
Last position:
Operational Excellence Consultant at amedes GmbH
- Operational efficiency assessment (with McKinsey)
Vishal Vekariya
Last position:
GMP Referent in Quality Assurance - Validation Group at Menarini Von Heyden GmbH
- Working as a CSV (Computer System Validation) Engineer in QA
- Primary focus on corporate project: implementation of the manufacturing execution system (MES)
- Assisted in the planning and coordination of multiple sub-projects, maintaining project documentation
- Adept validation life cycle according to GAMP 5 (URS-FS-DS-FAT-SAT-IQ-OQ-PQ) to ensure compliance with regulatory standards
- Reviewed and approved master batch record (MBR) validation reports
- Monitored project performance against KPIs, ensuring continuous alignment with business goals and project scopes
- Managed the validation and integration of the SAP-MES interface, demonstrating a strong command of computer system validation (CSV) principles
- Experienced with quality management systems, for instance TrackWise
- Facilitated daily cross-departmental communication and alignment with external suppliers to ensure project milestones are met on schedule
Norman Joiko
Last position:
Varta Microbattery GmbH
- Implementation of automated data visualization/evaluation as a basis for further decision-making processes
- Analysis of production data to identify relevant quality issues and their technical root causes using the Six Sigma method
- Lead of the internal resistance task force (mechanical/electro-chemical)
- Lead of the AI-supported X-ray image analysis task force to reduce scrap
- Solving acute issues and establishing a continuous improvement process in production
- Introduction of performance metrics, planning of resources and time frames, risk assessment and change management
- Development and implementation of measures to solve problems
- Securing delivery capability in the pre-series process
- Coordination between OEM and customer
Frank Thurner
Last position:
Engineering & Industry 4.0 / IoT Project Manager at Contech Software & Engineering GmbH
Engineering & Industry 4.0 / IoT projects with AI system using the Robust Design method for products & processes
Development, implementation & introduction of AI system Analyser® for Robust Design for products & processes
AI and Industry 4.0 standard product for preventive and reactive quality assurance as well as maintenance (Predictive Quality and Predictive Maintenance) based on big & smart data
Discover over 15,000 top freelancers
Statistics of experts using Design of Experiments
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.6 years
Positions per freelancer
11
Top business areas
Quality Assurance, Operations, Project Management
Top industries
Manufacturing, Automotive, Healthcare
Certification focus areas
Quality Assurance, Operations, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
64%
Doctorate
29%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
89%
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 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 Design of Experiments
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 DoE is
Design of Experiments, often called DoE, is a structured way to test how inputs affect outputs. It helps teams compare factors, interactions, and settings instead of changing one thing at a time. The result is clearer evidence for product, process, and quality decisions.
Typical work
- Define factors, levels, responses, and constraints
- Choose screening, factorial, or response surface designs
- Plan runs and randomization for reliable results
- Analyze data and interpret main effects and interactions
- Turn findings into practical process settings
Tools and methods
Strong professionals working with DoE move between statistics and real process knowledge. They often use JMP, Minitab, R, Python, or Excel-based workflows, depending on the team and data maturity. They also know when a full factorial, fractional factorial, Taguchi method, or response surface design fits the question.
When companies bring them in
Companies usually need freelance expertise when a test program is blocked, a process is unstable, or a study design is not giving usable answers. DoE specialists help shorten trial-and-error cycles in manufacturing, chemistry, food, automotive, and other engineering-heavy settings in Germany. They are also useful when teams need remote support with method setup, analysis, or review.
What strong professionals do
- Ask the right question before choosing a design
- Protect results from bias, noise, and poor run order
- Explain interactions in plain language
- Link statistics to equipment, materials, and operating limits
- Document the study so others can repeat it
How it delivers value
A good DoE study does not just produce charts. It gives a team a defensible path to better quality, lower variation, fewer failed tests, or a more robust parameter window. That is why Design of Experiments freelancers are often brought in early, before a project burns time on weak assumptions.
Frequently asked questions
What clients ask us most about Design of Experiments — answered in short.
Design of Experiments is used to find which inputs really change an outcome. Teams use it to tune processes, compare formulations, reduce variation, and understand interactions between factors. It is common when trial-and-error is too slow or too expensive.
DoE is different because it studies several factors together in a structured way. One-factor-at-a-time testing can miss interactions and often needs more runs to reach a useful answer. DoE gives stronger evidence for which settings matter most.
Design of Experiments projects often use screening designs, full or fractional factorial designs, and response surface methods. Taguchi methods also come up in some organizations, especially for robustness work. The right choice depends on the goal, the number of factors, and how many runs are realistic.
A strong Design of Experiments specialist usually understands statistics, data cleaning, process variation, and domain constraints. They should also be comfortable with tools such as JMP, Minitab, R, or Python. Clear communication matters because the study has to be usable by operations, quality, or R&D teams.
For DoE, a freelancer can often help even if the study is only at the problem-definition stage. The key inputs are the objective, the factors you can control, the response you want to improve, and any constraints on runs or materials. If those are unclear, a good expert can help shape them.
Yes, Design of Experiments work is often remote-friendly because planning, analysis, and reporting can be done from shared data and test results. On-site work is useful when the specialist needs to observe equipment, lab practice, or production conditions. Many German companies use a mix of both.
Look for someone who can explain why a design was chosen, not just run software. A good DoE expert discusses assumptions, randomization, interactions, and how the results affect real decisions. Strong work ends with a clear recommendation that the team can act on.
Design of Experiments changes inputs to learn what causes the output, while statistical process control monitors an ongoing process for drift or instability. They solve different problems, but they work well together. DoE finds the best settings; SPC helps keep the process there.
The average hourly rate of freelancers in Germany who have used Design of Experiments in their recent projects is 122 €, which corresponds to a daily rate of about 975 € based on an 8-hour working day.
Of the freelancers in Germany who have used Design of Experiments in their recent projects, 100% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Germany who have used Design of Experiments in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Germany who have used Design of Experiments in their recent projects are German (100%), English (89%), and Spanish (22%).
The most common industries among freelancers in Germany who have used Design of Experiments in their recent projects are Manufacturing (78%), Automotive (56%), and Healthcare (33%).
The most common business areas among freelancers in Germany who have used Design of Experiments in their recent projects are Quality Assurance (100%), Operations (78%), and Project Management (78%).
Main locations of FRATCH Experts, who have recently used Design of Experiments
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
