19.11.2025 aktualisiert
Premiumkunde
100 % verfügbarHead of Research & Analytics | Behavioural Data Scientist | Research Lead | Technical Project Lead
Frechen, Deutschland
Weltweit
Master's degree: Behavioral Data ScienceSkills
InnovationJavascriptForschungAgile MethodologieAmazon Web ServicesData AnalysisMicrosoft AzureBusiness IntelligenceKlinische ForschungKlinisches PrüfungendesignData GovernanceDjangoR (Programmiersprache)PythonMachine LearningProjektmanagementPostgisVisualisierungQgisTensorflowSQLStakeholder ManagementGeschichtenerzählenTableauCloud PlatformData SciencePytorchGrafanaTeam BuildingFastapiPandasScikit-learnKubernetesXgboostTeam ManagementMachine Learning OperationsDocker
Data Scientist & Project Manager specializing in behavioral data, clinical trials, and business intelligence. Expert in Python, R, and machine learning for behavioral insights, healthcare and research analytics. Experienced in agile project leadership, ethical data governance, and clear communication of insights. Available for freelance projects in data science, analytics, and research innovation.
Currently leading Research & Analytics at nofox, driving innovation, strategic delivery, and applied behavioral research.
Skills & Expertise:
- Behavioral Data Science & Behavioral Insights
- Clinical trial design, epidemiology, experimental design, and hypothesis testing
- Survey design focused on human-centered data collection
- Machine learning (supervised & unsupervised), model interpretation (LightGBM, TensorFlow, MLflow)
- Data analysis & visualization: Python, R, SQL, Tableau, ggplot2, QGIS
- Ethical frameworks & GDPR-compliant data governance for medical and behavioral data
- Business Intelligence & data pipeline development for healthcare analytics
- Data storytelling & clear communication of findings
- In-depth knowledge of the European data ecosystem and privacy regulations
Freelance Roles & Core Competencies:
- Data Science & Analytics: statistical modeling, machine learning, clinical and behavioral data analysis
- Project Management & Team Leadership: agile team building, stakeholder management, budget and contract oversight
- Technical Implementation: containerization (Docker, Kubernetes), cloud platforms (AWS, Azure), API integration
Technology Stack:
Python, R, SQL, JavaScript, Django, FastAPI, Docker, Kubernetes, Azure, AWS, Grafana, Pandas, Scikit-learn, PyTorch, QGIS, PostGIS
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
- Helped develope a theoretically grounded acceptance model by integrating interview insights with established technology adoption frameworks.
- Designed and implemented a nationwide telephone survey targeting the population to validate determinants of AI acceptance.
- Collaborated within the BMBF-funded {FRAIM} consortium to provide empirical input for an ethical and legal evaluation framework for AI in neuromedicine.
- Tools Used: Python, KeyIngress, SPSS, NVivo
- Developed a multi-level theoretical model of \textit{place attachment} integrating spatial, architectural, and socio-historical parameters with individual life events and localized social interactions.
- Designed and implemented a nationwide survey (n $\approx$ 5,000) assessing determinants of place attachment and urban quality of life using a stratified random sampling approach.
- Extended the historic \textit{LebensRäume} survey framework by creating a new modular questionnaire with $\approx$ 120 items, validated through pilot testing and factor analysis (PCA).
- Integrated GIS-based urban morphology data with survey responses to explore correlations between built environment indicators and subjective well-being.
- Applied statistical modeling (multivariate regression, SEM) to identify causal relationships and key predictors of place attachment.
- Generated policy-oriented recommendations for urban planning authorities to enhance user-centered design and promote long-term community cohesion.
- Tools Used: Python, Pandas, NumPy, STATA, QGIS, JavaScript, Grafana, Statsmodels
- Led cross-country analysis of entrepreneurial activity, motivations, and societal attitudes using Global Entrepreneurship Monitor (GEM) datasets.
- Designed and implemented data pipelines for ingestion and preprocessing of multi-year survey data (XML, CSV) into relational databases.
- Applied statistical modeling and trend analysis in \texttt{Python} (pandas, NumPy, statsmodels) to identify country-specific and global patterns.
- Built interactive dashboards in Grafana for real-time visualization of key entrepreneurship indicators.
- Tools Used: Python, SQL, XML, Grafana, Pandas, NumPy, Statsmodels