Matching/Data Scientist / ML Engineer/

Match Report

Bas van Driel — Data Scientist / ML Engineer at Unknown

Global Score

42%

Detailed Score

44%

Final Score

27%

Requirement Breakdown26

Data Scientist experience

must have
good match
67%
Matched with: Data Science

Minimaal 4 jaar ervaring als Data Scientist of ML Engineer

Data Scientist experience

must have
good match
67%
Matched with: Data Science

Minimaal 4 jaar ervaring als Data Scientist of ML Engineer

Cloud ML platforms

must have
good match
59%
Matched with: Azure

Ervaring met cloud-gebaseerde ML-platformen (Azure ML, SageMaker of Vertex AI)

Cloud ML platforms

must have
good match
59%
Matched with: Azure

Ervaring met cloud-gebaseerde ML-platformen (Azure ML, SageMaker of Vertex AI)

Python programming

must have
good match
59%
Matched with: Python

Sterke Python-kennis (scikit-learn, pandas, numpy)

Python programming

must have
good match
59%
Matched with: Python

Sterke Python-kennis (scikit-learn, pandas, numpy)

MLOps principles

must have
no match
0%

Kennis van MLOps-principes (model deployment, monitoring, retraining)

Supervised learning models

must have
no match
0%

Ervaring met supervised en unsupervised learning modellen

Unsupervised learning models

must have
no match
0%

Ervaring met supervised en unsupervised learning modellen

MLOps principles

must have
no match
0%

Kennis van MLOps-principes (model deployment, monitoring, retraining)

Statistics and probability

must have
no match
0%

Goede kennis van statistiek en kansrekening

Academic degree

must have
no match
0%

Academisch werk- en denkniveau (MSc of PhD in relevante richting)

Unsupervised learning models

must have
no match
0%

Ervaring met supervised en unsupervised learning modellen

Statistics and probability

must have
no match
0%

Goede kennis van statistiek en kansrekening

Supervised learning models

must have
no match
0%

Ervaring met supervised en unsupervised learning modellen

Academic degree

must have
no match
0%

Academisch werk- en denkniveau (MSc of PhD in relevante richting)

PySpark big data

nice to have
strong match
73%
Matched with: Pyspark

Kennis van PySpark voor grote datasets

PySpark big data

nice to have
strong match
73%
Matched with: Pyspark

Kennis van PySpark voor grote datasets

Fraud detection experience

nice to have
no match
0%

Ervaring met fraudedetectie of anomaly detection

Publications and open source

nice to have
no match
0%

Publicaties of bijdragen aan open source ML-projecten

Neural networks and deep learning

nice to have
no match
0%

Kennis van neural networks en deep learning (PyTorch of TensorFlow)

Publications and open source

nice to have
no match
0%

Publicaties of bijdragen aan open source ML-projecten

Fraud detection experience

nice to have
no match
0%

Ervaring met fraudedetectie of anomaly detection

Explainable AI

nice to have
no match
0%

Ervaring met explainable AI (SHAP, LIME)

Neural networks and deep learning

nice to have
no match
0%

Kennis van neural networks en deep learning (PyTorch of TensorFlow)

Explainable AI

nice to have
no match
0%

Ervaring met explainable AI (SHAP, LIME)