NumPy Experts in Stuttgart
in minutes from over 15,000 CVs with the power of AI.Hire experts who build fast array code, data pipelines, and scientific models with NumPy, SciPy, pandas, and Python notebooks. Get vetted, available specialists matched quickly and precisely for Stuttgart teams.
Meet FRATCH Experts in Stuttgart, who have recently used NumPy
Karin Albiez
Last position:
AI Benchmark Engineer | Native language specialist German at Lilt
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Building realistic task environments using datasets and files in German. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in German.
- Implementation & Verification: Supporting the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Opus).
- Quality Assurance: Participation in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
- Linguistic Review: Reviewing AI benchmark tasks across Hindi, Arabic, Japanese, Chinese, Czech and Turkish.
Matthias Spiller
Last position:
Software Developer and Consultant at CLADE GmbH
- Analysis of the existing CAN communication between microcontrollers
- Analysis of the sensors used and the measured values collected
- Planning the CAN messages for transmitting the measured values
- Iterative adjustment of the microcontroller code to the new CAN messages
- Cross-compilation from x64 to arm64
Talha Erciyes
Last position:
Interim Senior Finance Business Partner at SharkNinja Europe Ltd.
Responsibility for commercial finance in Central Europe (DACH and Poland), reporting to the EMEA Commercial Finance Director. Monthly financial reporting, forecasting, and variance analysis, evaluation of promotions and special campaigns, management of planning processes including budgeting, as well as preparation of QBR materials up to CFO level. Took over functional leadership in the finance team after the mandate holder was unavailable.
Noushiq Mohammed K A N
Last position:
Projects at Institute for Intelligent Systems
- Evaluation and analysis of camera-based traffic light and sign recognition system on various LLM-based autonomous driving systems (LMDrive, BEVDriver)
- Implemented VLM based traffic notice instruction generation unit for closed-loop autonomous driving system which alerts driver in unforeseen driving incidents
- Developed independent LLM-based local chatbot with Llama, DeepSeek and Qwen including MLflow evaluation framework
Chaima Dahri
Last position:
Data Scientist Intern at Marelli Automotive Lighting
- Developed and deployed a deep learning model for automated keypoint detection in headlamp light distributions.
- Prepared and processed datasets, and selected VGG16 after benchmarking CNN architectures for the best accuracy efficiency trade-off.
- Delivered a Flask REST API, containerized with Docker, and integrated the solution into an existing internal system, enabling automated and efficient evaluation of headlamp designs.
Akshata Noganihal
Last position:
Data Science Intern at Unified Mentor
- Improved predictive model accuracy by 18% using advanced feature engineering.
- Automated data pipelines via Python ETL, reducing manual work by 25%.
- Documented data flows to identify automation potential and support digitalization projects.
Discover over 15,000 top freelancers
Statistics of experts using NumPy
Aggregated from the professional profiles of matched freelancers.
Experience
11 years
Position duration
1 years (Germany: 1.8 years)
Positions per freelancer
10 (Germany: 8)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Automotive, Information Technology, Manufacturing
Certification focus areas
Research and Development, Business Intelligence, Information Technology
Bachelor's degree or higher
100% (Germany: 99%)
Master's degree or higher
67% (Germany: 81%)
Certifications per freelancer
3 (Germany: 2)
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 Stuttgart 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 Stuttgart using NumPy
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
Array Work
NumPy is the core Python library for numerical computing. It gives specialists fast n-dimensional arrays, vectorized operations, and the tools to shape data before it reaches analysis, simulation, or machine learning code.
What It Powers
Companies use NumPy for data prep, signal processing, optimization, engineering calculations, and prototype models. It is common in scripts, research code, analytics services, and internal tools that need clean, predictable math.
Common Stack
- NumPy arrays, broadcasting, and slicing
- pandas for tabular data work
- SciPy for scientific routines
- Matplotlib or plotting layers for checks and reports
- Jupyter notebooks for interactive work
When To Bring In Help
Teams bring in NumPy specialists when array code gets slow, hard to read, or fragile. They also help when Python logic must replace spreadsheets, when data shapes keep changing, or when a proof of concept needs to become reliable code.
What Strong Specialists Do
Strong professionals think in shapes, dtypes, memory layout, and vectorization. They avoid slow Python loops where NumPy can do the work directly, and they write code that is easy to test, reuse, and hand over.
Stuttgart Teams
In Stuttgart, NumPy experts often support engineering, manufacturing, mobility, and industrial analytics work. They can work on site or remotely, and they usually collaborate well in English for technical tasks while fitting into local team routines when needed.
Frequently asked questions
Key details about NumPy, drawn from the questions we get asked most.
NumPy is used for fast numeric work in Python: array calculations, data shaping, simulation inputs, and preprocessing before analysis or machine learning. It is a fit when plain Python lists are too slow or too awkward for structured math.
NumPy handles the low-level array layer, while pandas adds labeled tables and SciPy adds more specialized scientific routines. Many projects use all three together, with NumPy as the base for numeric operations and data transformations.
Bring in a NumPy specialist when code is full of loops, array shapes are confusing, or a prototype must be turned into stable production logic. They are also useful when a team needs help choosing the right data representation before building more on top of it.
A strong NumPy professional usually knows Python well, plus pandas, Jupyter, testing, and basic scientific computing habits. Depending on the project, knowledge of SciPy, plotting tools, and performance tuning can matter too.
Many NumPy projects can be handled remotely because the work is code-centric. On-site sessions in Stuttgart can still help when the team is aligning on data meaning, domain rules, or handover with local specialists.
NumPy work can range from clean-up tasks to deeper performance and modeling support. Simple array transformations may need only routine Python experience, while complex shape logic, memory issues, or scientific pipelines call for a more seasoned specialist.
Look for clear code, correct use of shapes and dtypes, and fewer loops where vectorization makes sense. A good NumPy expert explains trade-offs, writes tests for edge cases, and leaves code that others can maintain without guesswork.
NumPy is often the foundation, but many projects need pandas for tabular data, SciPy for advanced methods, or scikit-learn for modeling. The right specialist knows where NumPy ends and when to connect it cleanly to the rest of the Python stack.
The average hourly rate of freelancers in Stuttgart, Germany who have used NumPy in their recent projects is 95 €, which corresponds to a daily rate of about 760 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used NumPy in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used NumPy in their recent projects have 11 years of professional experience, with a single engagement typically lasting around 1 year.
The most common languages among freelancers in Stuttgart, Germany who have used NumPy in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Stuttgart, Germany who have used NumPy in their recent projects are Automotive (83%), Information Technology (83%), and Manufacturing (67%).
The most common business areas among freelancers in Stuttgart, Germany who have used NumPy in their recent projects are Business Intelligence (83%), Information Technology (83%), and Product Development (83%).
Main locations of FRATCH Experts, who have recently used NumPy
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.
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