Senior Data Scientist & Software Engineer
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- auf Anfrage
- 04179 Leipzig
- DACH-Region
- de | en
- 21.11.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
8/2022 – offen
Tätigkeitsbeschreibung
- Introduced new features and refactored critical components in a central Python application
- Refactored >20,000 lines of code, increased test coverage from ~20% to >85%
- Achieved a 5x speed-up in data transfers speeds; crafted coding guidelines for future contributors
Tools: Python, Electron, Docker, Ansible, mypy, pyright, black, ruff, pytest, pylint, Pydantic, Polars, GitHub, Azure DevOps, SAP ABAP / ERP
ETL, Docker, Ansible, Databricks, Git, Microsoft Azure, Projektleitung / Teamleitung (IT), Python, SAP ABAP
4/2022 – offen
Tätigkeitsbeschreibung
The GetML Framework introduces new ML algorithms that boost productivity by 10x in end-to-end prediction modelling on relational & time series data. An open-source edition is available on GitHub.
- Overhauled getML Python API & documentation with updated examples and demo notebooks
- Co-developing benchmark-setting algorithms for automated feature engineering
- Design & set-up of FastAPI + getML blueprint project
Implemented Google Cloud-hosted CI/CD pipeline
Continuous Delivery, Continuous Integration, MLOps, Agile Methodologie, C++, Ansible, Data Science, DevOps (allg.), Docker, Git, Google Cloud, Maschinelles Lernen, Python
9/2019 – 3/2022
TätigkeitsbeschreibungSoftware engineering team lead - managing three developers. Collaborated with product owner & CTO on features, refactoring and reliability engineering
Eingesetzte QualifikationenDevOps, Pandas, Tensorflow, Saas, Iaas, Microsoft Azure, Representational State Transfer (REST), Apache Kafka, DevOps (allg.), Git, Kubernetes, Python, SQL
Ausbildung
University of Leipzig
Leipzig
University of Leipzig
Leipzig
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
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