Senior Data Scientist / ML Engineer | Applied AI & Production ML
Aktualisiert am 26.08.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.09.2026
Verfügbar zu: 100%
davon vor Ort: 0%
Python
Data Scientist
Machine Learning
PySpark
Apache Spark
Databricks
SQL
Artificial Intelligence (AI)
Machine Learning Engineering
MLOps
Microsoft Azure
AWS
Google Cloud Platform (GCP)
Apache Airflow
FastAPI
Scala
Docker
Kubernetes
Data Engineering
Big Data
Time Series Analysis
Deep Learning
Solution Architecture

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 year 1 month
2025-03 - 2026-03

Led AI strategy and delivery

Lead AI Strategist
Lead AI Strategist
  • Led AI strategy and delivery of predictive models for driver behavior and safety analytics, integrating automotive BUS data (CAN/LIN/FlexRay) into unified big-data platforms on Azure Databricks and Voxel51.
  • Designed and implemented a natural-language-driven analytics layer, enabling users to discover datasets, generate PySpark code, and execute complex analyses via LLM-powered interfaces.
  • Built semantic data abstractions and metadata indexing (feature store + data catalog) to support context-aware query generation and reproducible pipelines.
  • Operationalized models and AI agents with robust CI/CD, monitoring, and feedback loops, ensuring reliability, auditability, and alignment with enterprise data governance.
  • Reduced analysis time from hours to minutes by enabling self-service data exploration for engineering and analytics teams.
CARIAD SE
Germany
6 years 1 month
2019-03 - 2025-03

Developed scalable ML/ETL

Lead Data Scientist
Lead Data Scientist
  • Developed scalable ML/ETL pipelines with PySpark, SparkML, Airflow on Azure
  • Databricks to process multi-terabyte datasets for AD/ADAS, vehicle homologation,and the Fehlerabstellprozess (issue resolution).
  • Implemented model governance and explainability frameworks, including feature registries, A/B testing, and bias audits compliant with NIST SP 800-53 and GDPR.
  • Delivered solutions for Volkswagen Group brands (Audi, Porsche, Volkswagen) under strict corporate data standards.
  • Product selected over three internal competitors for superior code quality, reliability, and delivery speed.
  • Mentored and upskilled data scientists in clean-code, test-driven development, and CI/CD workflows.
Cognizant Mobility GmbH
Germany
5 months
2018-10 - 2019-02

Developed a personalized-coaching ML platform

Chief Technology Officer
Chief Technology Officer
  • Developed a personalized-coaching ML platform using Keras and scikit-learn, analyzing biometric and behavioral data to recommend stress-reduction actions.
  • Applied research insights from my PhD thesis to design predictive models for health-risk scoring and lifestyle pattern detection.
  • Established secure, production-grade data pipelines using Airflow and PostgreSQL.
  • Led the technical development until the company?s acquisition, demonstrating both product-market fit and technological scalability.
BODYVISER GmbH
Germany
1 year
2017-10 - 2018-09

Developed retention- and churn-prediction models

Data Scientist
Data Scientist
  • Developed retention- and churn-prediction models using Python, SparkSQL, and Looker, increasing marketing ROI by 28%.
  • Analyzed audience behavior and engagement patterns from Google Analytics and CRM data to optimize targeting strategies.
  • Unified newsletter, shop, and analytics data sources via ETL workflows in Pentaho and Matillion.
Social Media Interactive GmbH / Social Sweethearts GmbH, Content 10/2017 - 09/2018 Publishing & E-commerce
Germany
2 years 4 months
2015-06 - 2017-09

Enhanced enterprise search relevance

Data Scientist
Data Scientist
  • Enhanced enterprise search relevance via supervised ranking models.
  • Migrated ProSiebenSat.1 Media?s warehouse to Apache Spark with KPI dashboards
IntraFind Software AG & inovex GmbH, Enterprise Search
Germany
3 years 7 months
2012-10 - 2016-04

Developed sensor-fusion models combining domestic

Research Associate & Lecturer
Research Associate & Lecturer
  • Developed sensor-fusion models combining domestic IoT, smartphone, and socialmedia data to identify lifestyle anomalies and predict early signs of chronic depression.
TU Dresden & Fraunhofer Institut, Health & Behaviour Analytics
Germany

Kompetenzen

Kompetenzen

Top-Skills

Python Data Scientist Machine Learning PySpark Apache Spark Databricks SQL Artificial Intelligence (AI) Machine Learning Engineering MLOps Microsoft Azure AWS Google Cloud Platform (GCP) Apache Airflow FastAPI Scala Docker Kubernetes Data Engineering Big Data Time Series Analysis Deep Learning Solution Architecture

Produkte / Standards / Erfahrungen / Methoden

SUMMARY

Results-driven Data Scientist with 15 years of experience in machine learning and AI transformation across diverse sectors, including automotive and healthcare. Proven expertise in developing productiongrade ML systems and leading teams to deliver innovative solutions. Strong technical skills in Python, Spark, and model governance, coupled with a track record of mentoring and fostering talent in complex environments.


AI & Machine Learning

Production ML, LLMs, AI agents & MCP, Ollama, LlamaFactory, FiftyOne


Programming & Data Science

Python (PySpark, pandas, scikit-learn, FastAPI), Scala/Spark, SQL


Data Engineering & Platforms

Spark, Airflow, Databricks; Azure, AWS, GCP


Data Quality & Governance

Data validation, monitoring, metadata, data catalogs, governance, reproducibility


Engineering & Delivery

REST APIs, CI/CD, Git/GitHub, unit testing, clean code; Scrum, Kanban, SAFe

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 year 1 month
2025-03 - 2026-03

Led AI strategy and delivery

Lead AI Strategist
Lead AI Strategist
  • Led AI strategy and delivery of predictive models for driver behavior and safety analytics, integrating automotive BUS data (CAN/LIN/FlexRay) into unified big-data platforms on Azure Databricks and Voxel51.
  • Designed and implemented a natural-language-driven analytics layer, enabling users to discover datasets, generate PySpark code, and execute complex analyses via LLM-powered interfaces.
  • Built semantic data abstractions and metadata indexing (feature store + data catalog) to support context-aware query generation and reproducible pipelines.
  • Operationalized models and AI agents with robust CI/CD, monitoring, and feedback loops, ensuring reliability, auditability, and alignment with enterprise data governance.
  • Reduced analysis time from hours to minutes by enabling self-service data exploration for engineering and analytics teams.
CARIAD SE
Germany
6 years 1 month
2019-03 - 2025-03

Developed scalable ML/ETL

Lead Data Scientist
Lead Data Scientist
  • Developed scalable ML/ETL pipelines with PySpark, SparkML, Airflow on Azure
  • Databricks to process multi-terabyte datasets for AD/ADAS, vehicle homologation,and the Fehlerabstellprozess (issue resolution).
  • Implemented model governance and explainability frameworks, including feature registries, A/B testing, and bias audits compliant with NIST SP 800-53 and GDPR.
  • Delivered solutions for Volkswagen Group brands (Audi, Porsche, Volkswagen) under strict corporate data standards.
  • Product selected over three internal competitors for superior code quality, reliability, and delivery speed.
  • Mentored and upskilled data scientists in clean-code, test-driven development, and CI/CD workflows.
Cognizant Mobility GmbH
Germany
5 months
2018-10 - 2019-02

Developed a personalized-coaching ML platform

Chief Technology Officer
Chief Technology Officer
  • Developed a personalized-coaching ML platform using Keras and scikit-learn, analyzing biometric and behavioral data to recommend stress-reduction actions.
  • Applied research insights from my PhD thesis to design predictive models for health-risk scoring and lifestyle pattern detection.
  • Established secure, production-grade data pipelines using Airflow and PostgreSQL.
  • Led the technical development until the company?s acquisition, demonstrating both product-market fit and technological scalability.
BODYVISER GmbH
Germany
1 year
2017-10 - 2018-09

Developed retention- and churn-prediction models

Data Scientist
Data Scientist
  • Developed retention- and churn-prediction models using Python, SparkSQL, and Looker, increasing marketing ROI by 28%.
  • Analyzed audience behavior and engagement patterns from Google Analytics and CRM data to optimize targeting strategies.
  • Unified newsletter, shop, and analytics data sources via ETL workflows in Pentaho and Matillion.
Social Media Interactive GmbH / Social Sweethearts GmbH, Content 10/2017 - 09/2018 Publishing & E-commerce
Germany
2 years 4 months
2015-06 - 2017-09

Enhanced enterprise search relevance

Data Scientist
Data Scientist
  • Enhanced enterprise search relevance via supervised ranking models.
  • Migrated ProSiebenSat.1 Media?s warehouse to Apache Spark with KPI dashboards
IntraFind Software AG & inovex GmbH, Enterprise Search
Germany
3 years 7 months
2012-10 - 2016-04

Developed sensor-fusion models combining domestic

Research Associate & Lecturer
Research Associate & Lecturer
  • Developed sensor-fusion models combining domestic IoT, smartphone, and socialmedia data to identify lifestyle anomalies and predict early signs of chronic depression.
TU Dresden & Fraunhofer Institut, Health & Behaviour Analytics
Germany

Kompetenzen

Kompetenzen

Top-Skills

Python Data Scientist Machine Learning PySpark Apache Spark Databricks SQL Artificial Intelligence (AI) Machine Learning Engineering MLOps Microsoft Azure AWS Google Cloud Platform (GCP) Apache Airflow FastAPI Scala Docker Kubernetes Data Engineering Big Data Time Series Analysis Deep Learning Solution Architecture

Produkte / Standards / Erfahrungen / Methoden

SUMMARY

Results-driven Data Scientist with 15 years of experience in machine learning and AI transformation across diverse sectors, including automotive and healthcare. Proven expertise in developing productiongrade ML systems and leading teams to deliver innovative solutions. Strong technical skills in Python, Spark, and model governance, coupled with a track record of mentoring and fostering talent in complex environments.


AI & Machine Learning

Production ML, LLMs, AI agents & MCP, Ollama, LlamaFactory, FiftyOne


Programming & Data Science

Python (PySpark, pandas, scikit-learn, FastAPI), Scala/Spark, SQL


Data Engineering & Platforms

Spark, Airflow, Databricks; Azure, AWS, GCP


Data Quality & Governance

Data validation, monitoring, metadata, data catalogs, governance, reproducibility


Engineering & Delivery

REST APIs, CI/CD, Git/GitHub, unit testing, clean code; Scrum, Kanban, SAFe

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