Data Scientist (f/m/d) wanted for Berlin! Ref.Nr. ...

For an international customer we are currently looking for Data Scientist (f/m/d).

Aufgaben

• Implement an unsupervised deep learning based anomaly detection approach for imbalanced data
• Document the training techniques employed for the solution
• Implement the code in Python 3.7+ and either Pytorch or Keras (Tensorflow 2.0+) as the Deep Learning framework
• Ensure the code is available and reproducible on a GPU-enabled Linux machine
• Ensure all data, code used, workflow (including pre-processing and featureextraction), training and hyperparameters are tracked for every reported result
• Document the limitations of the approaches and recommend constraints to improve the performance of the Anomaly Detection algorithms
• Cooperate with the team through weekly 30-60 minute calls to discuss hypotheses being tested, findings and blockers or questions for domain experts

Qualifikation

• Proven experience in Time Series analysis with Deep Learning approaches applied to industrial datasets
• Experience in other Machine Learning methods for time series analysis and applied statistics
• Comfortable with Pandas, Scikit-Learn, Numpy and either Pytorch, Tensorflow or another common DL framework
• Some experience with semi-supervised and self-supervised methods on structured data
• Some experience in NLP with non-academic datasets
• Some experience with at least one Python API framework
• Excellent communicator English
• Ideally: Some experience with Git, Docker and experience scaling ETL pipelines

Order type: Contract

location: Berlin/remote

Start: asap

Duration: 6 month ( with option of extension)

If you are interested, please tell us about your hourly rate and your availability. We are looking forward to your application in an MS-Word-readable format quoting the reference-number 2755.

Any Questions? Call +49 152 289 826 27.