Matching/Data Scientist / ML Engineer/

Match Report

Aleksy Studnicki — Data Scientist / ML Engineer at Unknown

Global Score

43%

Detailed Score

28%

Final Score

13%

Requirement Breakdown26

Python programming

must have
good match
61%
Matched with: Python

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

Python programming

must have
good match
61%
Matched with: Python

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

Data Scientist experience

must have
no match
0%

Minimaal 4 jaar ervaring als Data Scientist of ML Engineer

Cloud ML platforms

must have
no match
0%

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

Academic degree

must have
no match
0%

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

Statistics and probability

must have
no match
0%

Goede kennis van statistiek en kansrekening

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)

Data Scientist experience

must have
no match
0%

Minimaal 4 jaar ervaring als Data Scientist of ML Engineer

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

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

Cloud ML platforms

must have
no match
0%

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

MLOps principles

must have
no match
0%

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

Explainable AI

nice to have
no match
0%

Ervaring met explainable AI (SHAP, LIME)

Fraud detection experience

nice to have
no match
0%

Ervaring met fraudedetectie of anomaly detection

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)

PySpark big data

nice to have
no match
0%

Kennis van PySpark voor grote datasets

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

PySpark big data

nice to have
no match
0%

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