Data Science Experts in Dusseldorf
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Meet FRATCH Experts in Dusseldorf, who have recently used Data Science
Stephan Schnitzler
Last position:
Head of Digital Transformation EMEA at Rhenus Air & Ocean Management GmbH
Responsible for driving digital transformation and aligning country organizations with the Rhenus platform model
Initiated the digital transformation roadmap for five countries, ensuring alignment with global group strategy
Built and led a high-performing digital transformation consulting team, expanding delivery capacity from one to three value streams and thereby fast tracking the roadmap from 3 to 2 years
Acted as strategic advocate for 5 country organizations, ensuring group-wide cross-functional alignment
Redefined business analysis into an agile approach, reducing time-to-value for platform harmonization by 50%
Ehsan Amin
Last position:
Clinical Data Scientist at Freelance
- Conduct data management and statistical analysis for clinical studies on behalf of CROs.
- Guest lecturer at Ivancity University, Paris, specializing in data anonymization techniques and statistical disclosure control.
- Provide scientific and medical writing services for pharmaceutical companies.
- Perform optical mapping data analysis and develop software tools with a focus on algorithm optimization and technical support.
Amir Feghhi
Last position:
Senior Project Manager – Data, AI & Digital Transformation I Customer Delivery at Independent / Fortune 500 Clients
- Led AI programs and data initiatives, from PoC/ MVP to rollout, ensuring operational readiness, governance and business adoption.
- Established pragmatic AI governance frameworks enabling compliant and scalable AI delivery.
- Partnered with data science, engineering, and product teams to deliver AI-enabled solutions on enterprise-scale data platforms.
- Defined delivery KPIs and success metrics to ensure measurable business value.
- Led cross-functional, multi-site teams in complex, first-time project environments, managing risks, dependencies, and stakeholder expectations.
- Supported solution scoping and effort estimation in collaboration with consulting and delivery teams.
Marin Niehues
Last position:
Project Management & Requirements Management | Leadership Consulting at Continental AG
- Project leadership of a cross-functional team of data scientists, software architects, and business stakeholders to develop a dynamic pricing model for the EMEA and US truck tire market
- Management consulting for applied analytics and AI, focusing on agile organizational strategy and designing a global strategy implementation based on agile frameworks with an emphasis on AI enablement
- Methods and technologies used: portfolio management, value stream mapping, SAFe, Scrum, Kanban, Flight Levels, lean management, OKRs, usability testing, acceptance tests, test management oversight
Ehsan Meisami
Last position:
BI Developer at Telecommunications Infrastructure
- Gather and analyze requirements in close collaboration with business units to develop data-driven solutions and scalable PowerBI reporting infrastructures.
- Perform detailed debugging and optimize existing semantic and data models to ensure a robust data architecture, high data quality, and improved PowerBI reporting.
- Design and implement scalable ETL processes for data preparation and integration.
- Create a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and metrics.
Sara Welter
Last position:
Recruiting & Employer Branding Data Specialist at Sipgate
- Managed the entire hiring process with a focus on data-driven decision-making.
- Analyzed recruiting data using Excel and ATS to optimize processes effectively.
Steffen Hey
Last position:
Coordinator IT-Controlling & Purchasing at Fiege Logistik Stiftung & Co. KG
- Agile work in IT controlling and purchasing, including a project to build IT procurement structures
- Month-end closing including forecast, budget creation including calculation of IT service specifications, ad-hoc analyses
- Preparation and defense of business cases, top management reporting, commercial evaluation of new IT demands and contracts
Discover over 15,000 top freelancers
Statistics of experts using Data Science
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 15 years)
Position duration
1.9 years (Germany: 2.2 years)
Positions per freelancer
8 (Germany: 9)
Top business areas
Information Technology, Project Management, Business Intelligence
Top industries
Banking and Finance, Information Technology, Professional Services
Certification focus areas
Product Development, Business Intelligence, Information Technology
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
100% (Germany: 78%)
Doctorate
20% (Germany: 22%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, Persian
Speak two or more languages
100% (Germany: 96%)
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 Dusseldorf 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 Dusseldorf using Data Science
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 science work
Data science turns data into clear decisions. It covers analysis, forecasting, segmentation, anomaly detection, and machine learning. Teams use it to understand customers, operations, and product behavior.
Typical deliverables
- Data cleaning and feature work
- Exploratory analysis and dashboards
- Forecasting and classification models
- Experiment design and measurement
- Documentation for handover and use
Tools and stack
Strong specialists move between Python, R, SQL, notebooks, and BI tools. They also know pandas, scikit-learn, Jupyter, and common cloud data services. For Dusseldorf companies, that often means fitting into existing reporting, data warehouse, and product analytics setups.
When to bring in help
Bring in freelance expertise when internal teams need extra capacity, a fresh method, or support for a time-boxed project. It helps when data is messy, priorities are unclear, or a model has to move from analysis into daily use. Short engagements work well for audits, prototypes, and fixes.
What strong specialists do
A strong expert asks about the business question before choosing methods. They test assumptions, explain trade-offs, and keep results reproducible. They also write clearly enough that product, ops, and leadership can act on the work.
Good fit in Dusseldorf
Dusseldorf firms in retail, media, industry, logistics, and finance often need data work that fits existing teams and language expectations. Remote collaboration is common, but on-site time can help with workshops, source systems, and stakeholder alignment. The best experts adapt to both.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Science.
A Data Science specialist turns raw data into analysis, predictions, and practical recommendations. That can include cleaning data, building models, testing hypotheses, and explaining results in plain language. The best work ends with something the business can use, not just a notebook full of charts.
Hire a Data Science freelancer when you need focused help for a clear problem, such as forecasting demand, finding churn signals, or reviewing an existing model. It also makes sense when your team needs extra capacity or specific tool knowledge. Short, targeted support is often enough to unblock a project.
Data Science goes beyond reporting on what happened. Business intelligence and analytics usually focus on dashboards, KPIs, and descriptive insights, while data science also includes prediction, experimentation, and model building. In practice, the three often work together on the same project.
A strong Data Science professional usually brings Python or R, SQL, statistics, and a solid grasp of data cleaning and feature work. Depending on the project, machine learning, A/B testing, cloud data tools, and visualization also matter. Communication is just as important as technical skill.
Data Science fits well when the goal is concrete and bounded, such as a prediction model, customer segmentation, an experiment analysis, or a data quality review. If the problem is still vague, a short discovery phase helps define the scope first. That keeps the work efficient and measurable.
Yes, most Data Science work can be done remotely because the core tasks are digital. For Dusseldorf-based teams, remote support works well for analysis, model development, and documentation, while occasional on-site sessions help with workshops and stakeholder alignment. Hybrid collaboration is often the smoothest setup.
Look for clear problem framing, reproducible methods, and results that connect to a business decision. A strong Data Science expert explains assumptions, shows how they tested the approach, and notes where the model may fail. Good handover material matters because the work often needs to be reused by internal teams.
Often yes, because Data Science covers a different layer of work. Data engineers focus on pipelines and data movement, and analysts focus on reporting and trends, while data science adds modeling, experimentation, and prediction. Many projects need all three disciplines to finish well.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Data Science in their recent projects is 109 €, which corresponds to a daily rate of about 868 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Data Science in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Dusseldorf, Germany who have used Data Science in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Data Science in their recent projects are German (100%), English (100%), and Persian (43%).
The most common industries among freelancers in Dusseldorf, Germany who have used Data Science in their recent projects are Banking and Finance (43%), Information Technology (43%), and Professional Services (43%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Data Science in their recent projects are Information Technology (71%), Project Management (71%), and Business Intelligence (57%).
Main locations of FRATCH Experts, who have recently used Data Science
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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