21.07.2026 aktualisiert

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info: nicht verfügbar bis 31.12.2026

Data Scientist and Software Developer (Python | SQL | R | AWS | Modelling & Analytics)

Chemnitz, Deutschland
Chemnitz +250 km
Dr. rer. nat.
Chemnitz, Deutschland
Chemnitz +250 km
Dr. rer. nat.

Profilanlagen

Resumé_König.pdf

Über mich

I help organisations turn complex data into reliable, production-ready solutions – from data platforms and REST APIs to interactive web applications and AI-powered tools. Proven track record in regulated and research driven environments (finance, biotech, public institutions).

Skills

RAGGitOpsLangChainJavaScriptAPIsAmazon Web ServicesBash ShellBiodiversitätDatenvisualisierungGitHubR (Programmiersprache)PythonPostgreSQLLinux ServersMachine LearningMySQLPredictive ModellingStatistische AuswertungenSQLiteSQLWeb Application DevelopmentPyTorchFlaskGitLabGitFastAPIpandasScikit-learnPlotlyApi DesignDocker
Freelance data scientist and software developer specialising in predictive modelling, automation, and scalable data systems. I help organisations turn complex data into reliable, production-ready solutions – from data platforms and REST APIs to interactive web applications and AI-powered tools. Proven track record in regulated and research‑driven environments (finance, biotech, public institutions), with a strong focus on robustness, maintainability, and clear communication.

Professional Skills
  1. Analytical thinking
  2. Independent problem solving
  3. Creativity
  4. Effective communication
  5. Scientific expertise (biodiversity & climate)
Programming
  1. Python, R, SQL, JavaScript, M (Power Query language)
  2. HTML, CSS, XML
  3. Package development (Python & R)
  4. API design (FastAPI, Flask)
  5. ETL / ELT pipelines
  6. geospatial processing
  7. Scripting & workflow automation
Machine Learning
  1. Classification & regression: linear models, tree-based methods, neural networks
  2. Hyperparameter tuning, cross-validation, model evaluation
  3. Bayesian modeling
  4. Dimensionality reduction, Clustering
  5. Technologies: XGBoost, scikit-learn, caret, PyTorch, NumPy, dplyr, pandas, JAGS, Stan
Databases
  1. Data modelling, schema design, data normalization
  2. Query design and optimization
  3. OLTP & OLAP systems
  4. Technologies: MySQL, PostgreSQL, DuckDB, OracleDB, Neo4j
Visualization & Reporting
  1. Interactive reports
  2. Dashboards, Graph Visualization
  3. Automated documentation
  4. Technologies: R Shiny, Plotly Dash, quarto, markdown, plotly, ggplot
Development & Orchestration
  1. Version control: Git, GitHub, GitLab
  2. Cloud: AWS, GCP
  3. Containers & environments: Docker, pip, conda, venv, renv, uv
  4. Workflow automation: make, targets, Camunda
  5. OS & scripting: Linux, Bash, Windows
  6. Agile tools: Jira, Confluence, Slack, Teams

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2022

Sprachen

DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnisse

Projekthistorie

Data Quality Consultant

Landesbetrieb Forst Brandenburg

Energie, Wasser und Umwelt

50-250 Mitarbeiter

In a federal forest monitoring program, I support data quality and operational workflows for meteorological and soil sensor data from distributed field plots. The work currently focuses on three areas: automated quality control and anomaly detection scripts, a Shiny-based review application for segment-level data correction, and a field-oriented data model for mobile monitoring with QGIS/QField. The goal is to make quality assessment more systematic, reduce manual rework, and establish a stable data foundation from field collection to reporting.

Full Stack Developer & Data Scientist

KWS Saat

Sonstiges

1000-5000 Mitarbeiter

As part of an ongoing engagement with KWS Saat, I have been building and extending a Python-based discovery platform for plant breeding research. The work spans backend API engineering, interactive analytics application development, and AI-assisted research workflows, with responsibilities ranging from schema design and validation to CI/CD and deployment hardening. The resulting platform helps researchers explore complex biological relationships and access advanced analysis tools through a practical, user-facing interface.

Automation Consultant

Gebr. Donner GmbH & Co. KG

Architektur und Bauwesen

10-50 Mitarbeiter

The project addressed a practical integration gap in an existing timber processing workflow: part labels were required for reliable identification on site, but the processing machine's original printer setup could no longer be used and compatible replacements were unavailable. I implemented a lightweight Windows automation service that monitors the processing machine's output files, parses the relevant metadata, and maps the extracted values to ZPL output for a generic Zebra label printer. The solution was packaged as a standalone executable and configured for unattended startup via Windows Task Scheduler.

Biodiversity Data Scientist

German Centre for Integrative Biodiversity Research (iDiv)

Energie, Wasser und Umwelt

250-500 Mitarbeiter

I built a scalable biodiversity analytics stack at iDiv, with a primary focus on operationalizing the symobio R package as the data-engineering backbone. Using DuckDB, Arrow/Parquet, and modular targets workflows, the platform standardized heterogeneous occurrence and environmental data into reproducible, analysis-ready outputs while enabling local processing of tens of millions of records. On top of this foundation, I implemented and compared species distribution modeling workflows, including multi-species deep learning approaches.

Microsoft Excel / Power Query Consultant

Offerista GmbH

Marketing, PR und Design

50-250 Mitarbeiter

I improved Excel- and Power Query workflows supporting Offerista’s local marketing operations. I redesigned an interdependent set of workbooks to create a clearer, more maintainable data-preparation process and reduce day-to-day manual corrections. Improved validation, data cleaning, and Looker-based retrieval made the workflow more reliable and easier for operational teams to use.

Senior R Developer

European Central Bank (ECB)

Banken und Finanzdienstleistungen

5000-10.000 Mitarbeiter

I contributed to modernizing the reporting stack behind key ECB economic publications, with a primary focus on building and maintaining an R package ecosystem for dynamic report generation. The packages enabled consistent, parameterized production of publication-ready outputs across formats and teams, forming the technical backbone of official ECB reporting workflows. Shiny components and enterprise integrations complemented this package core by linking report production to source systems and workflow orchestration.

R Shiny Developer

Karlsruhe Institute of Technologie (KIT)

Öffentlicher Dienst

10-50 Mitarbeiter

I developed a web application for vegetation data standardization and exchange at KIT. The app was built as a golem-based Shiny package and combined a guided user interface with XML validation, schema-aware conversion logic, and interactive file handling. The app enabled researchers to standardize, validate, and exchange vegetation data in accordance with the Veg-X XML standard, facilitating collaboration across research teams.

Zertifikate

AWS Certified Cloud Practitioner

AWS training and certification

2026

Machine Learning with Python

edX

2021

Machine Learning for Data Science and Analytics

edX

2016

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