01.10.2026 aktualisiert
100 % verfügbar
Data Scientist/Engineer | M.Sc. Social Data Science
Bad Dürkheim, Deutschland
Nur Remote
M.Sc. Computational Social Systems (Major: Social Data Science), RWTH Aachen University, Grade 1.8Skills
Data AnalysisWeb ScrapingStatistische HypothesentestsPythonSQLData ScienceDaten-Pipeline
Python & Data Processing
Expert-level proficiency in Python, Pandas, and NumPy for large-scale data collection, cleaning, and processing. Extensive experience building data pipelines and automating data workflows.
LLM-Based Extraction & AI Pipelines
Proficient use of LLMs (Claude, OpenAI, Gemini) for building multi-stage extraction pipelines, prompt engineering, vision LLMs, and LLM-driven data extraction solutions at scale.
Web Scraping & Crawling
Proficient in building web scraping solutions using BeautifulSoup, Playwright, Scrapy, and Puppeteer. Experience with scrapers including Docker containerisation and automated test suites.
Statistical Analysis & Machine Learning
Proficient in statistical methods including hypothesis testing, time series & network analysis, causal inference, and machine learning using Scikit-learn, Statsmodels, and NetworkX.
Data Visualization
Proficient in Matplotlib and Seaborn for creating data visualizations. Basic knowledge of Power BI.
REST APIs & Web Development
Proficient in designing and consuming REST APIs using FastAPI and OpenAPI. Basic knowledge of Flask, Node.js, ReactJS, and GraphQL for web development tasks.
DevOps & Cloud Infrastructure
Proficient in Git, Docker. Basic knowledge of Bash, Azure, AWS, GCP, Kubernetes, and CI/CD pipelines.
SQL & Database Management
Proficient in SQL for querying and managing relational databases. Experience with PostgreSQL and pgvector.
Network Analysis
Experience applying network analysis and community detection methods to real-world datasets, including Wikipedia discussion patterns and board game innovation team structures, using NetworkX and Python.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2024
Sprachen
DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnissePortugiesischgutSpanischGrundkenntnisse
Projekthistorie
Automatically turns Instagram event posts into a structured calendar, maps community scenes via geo-clustering and network analysis, and discovers new relevant accounts. Features smart filtering, structured event data extraction via vision LLMs, entity resolution, scene mapping, and a FastAPI dashboard. Tools: Python, Playwright, FastAPI, PostgreSQL, pgvector, Docker, LLM APIs.
Building a large-scale web scraping solution for research data collection from freelancer platforms.
Production-grade scraper for academic research data collection from freelancer platforms, with Docker containerisation and an automated test suite. Tools: Python, Scrapy, Docker, Pytest.