AI-driven Data Scientist with 10+ years of experience in computer vision and deep learning
AI-driven Data Scientist with 10+ years of experience in computer vision and deep learning
AI-driven Data Scientist with 10+ years of experience in computer vision and deep learning
AI-driven Data Scientist with 10+ years of experience in computer vision and deep learning
freelancermap GmbH
Internet, Onlinemedien
Weiterstadt
- Art der Anstellung: Vollzeit
- Vor Ort
AI-driven Data Scientist with 10+ years of experience in computer vision and deep learning
Über diesen Job
AI-driven Data Scientist with 10+ years of experience in computer vision and deep learning
Weiterstadt,
Deutschland
MSc in Management of Protected Areas
Profilanlagen
Skills
Geoinformationssystem
Künstliche Intelligenz
Computer Vision
Computerprogrammierung
Datenbanken
Datenvisualisierung
Python
Machine Learning
Forschungsmethoden
Natural Language Processing
Nltk
Numpy
Objekterkennung
Opencv
Predictive Modelling
Qgis
Power Bi
Tensorflow
Räumliche Analyse
Geodateninfrastrukturen
SQL
Tableau
Pytorch
Transfer Learning
Large Language Models
Deep Learning
Keras
Gitlab
Git
Pandas
Matplotlib
Containerisierung
Scikit-learn
Plotly
Software Version Control
Erkennung von Anomalien
Docker
Computer Vision
Expertise in image classification, object detection, and anomaly detection using frameworks like OpenCV, U-2-Net, YOLO, and Detectron2.
Machine Learning & Deep Learning
Advanced knowledge in PyTorch, TensorFlow, Keras, CNNs, and Transfer Learning for predictive modeling and classification tasks.
Natural Language Processing
Application of NLP techniques to extract insights from survey data using tools like NLTK, LLMs, and Word2Vec.
Data Visualization
Proficiency in creating interactive dashboards and visualizations using Seaborn, Matplotlib, Plotly, Power BI, Streamlit, and Tableau.
Programming & Tools
Strong Python skills with libraries including Pandas, NumPy, Scikit-learn, along with version control using Git and GitLab.
SQL & Docker
Familiar with database querying using SQL and containerization with Docker for deployment.
GIS & Spatial Analysis
Experience with QGIS and GeoPandas for geographical information systems and spatial data analysis.
Expertise in image classification, object detection, and anomaly detection using frameworks like OpenCV, U-2-Net, YOLO, and Detectron2.
Machine Learning & Deep Learning
Advanced knowledge in PyTorch, TensorFlow, Keras, CNNs, and Transfer Learning for predictive modeling and classification tasks.
Natural Language Processing
Application of NLP techniques to extract insights from survey data using tools like NLTK, LLMs, and Word2Vec.
Data Visualization
Proficiency in creating interactive dashboards and visualizations using Seaborn, Matplotlib, Plotly, Power BI, Streamlit, and Tableau.
Programming & Tools
Strong Python skills with libraries including Pandas, NumPy, Scikit-learn, along with version control using Git and GitLab.
SQL & Docker
Familiar with database querying using SQL and containerization with Docker for deployment.
GIS & Spatial Analysis
Experience with QGIS and GeoPandas for geographical information systems and spatial data analysis.
Sprachen
Deutsch
Grundkenntnisse
Englisch
verhandlungssicher
Portugiesisch
Muttersprache
Spanisch
gut
Projekthistorie
Data Scientist Intern
Desion GmbH
Supporting the development and optimization of computer vision models to classify textile defects and enable automated sorting in production. Assisting in analyzing inspection pipelines and contributing to improvements that simplify processes and enhance model performance.
Data Scientist Consultant
Hadi-Plast GmbH
Developed an anomaly detection model for plastic parts using unsupervised deep learning (96% accuracy). Deployed a Streamlit app for automated defect visualization and inspection. Enhanced model robustness via preprocessing and synthetic defect generation.
Data Scientist
NielsenIQ
Built predictive models and automated dashboards to support strategic business decisions. Applied NLP to extract insights from open-ended survey data. Performed customer segmentation and forecasting using regression and clustering methods.
Bewertung von Mitarbeitenden
Gesamtbewertung
Basierend auf 19 BewertungenVorteile für Mitarbeitende
Flexible Arbeitszeiten
Home-Office
Kantine
Restaurant-Tickets
Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Firmenwagen
Smartphone
Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen
Unternehmenskultur
Unternehmenskultur
19 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei freelancermap GmbH als sehr modern. Der Branchen-Durchschnitt geht übrigens in Richtung modern
