Aufgaben
Responsibilities
– We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products.
– Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
– Selecting features, building and optimizing classifiers/regression models using machine learning techniques
– Data mining using state-of-the-art methods
– Extending company’s data with third party sources of information when needed
– Enhancing data collection procedures to include information that is relevant for building analytic systems
– Processing, cleansing,
and verifying the integrity of data used for analysis
– Doing ad-hoc analysis and presenting results in a clear manner
– Create automated anomaly detection systems and constant tracking of its performance
– Create time series forecasting models for short, medium and long-term forecasting.
– Create complex propensity models to predict customer behaviour
– Create computer vision models for analysing and classifying image data
Technical Skill
– Knowledge of programing languages: Python and SQL
– Machine learning: Scikit-learn, numpy, pandas, XgBoost…
– Deep Learning: TensorFlow, Keras, Pytorch, RNN, LSTM, CNN…
– Time series forecasting: AR, ARIMA, SARIMA, ES, Prophet, LSTM
– MLOps: MLflow, Model deployment
– Knowledge on Big Data Technologies: PySpark, Airflow
– Strong knowledge on ETL Process and Technique
– Deployment Knowledge: CI/CD Tool Chain
– Strong knowledge on SQL DB and NoSQL DB
Qualifikationen
Responsibilities
– We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products.
– Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
– Selecting features, building and optimizing classifiers/regression models using machine learning techniques
– Data mining using state-of-the-art methods
– Extending company’s data with third party sources of information when needed
– Enhancing data collection procedures to include information that is relevant for building analytic systems
– Processing, cleansing, and verifying the integrity of data used for analysis
– Doing ad-hoc analysis and presenting results in a clear manner
– Create automated anomaly detection systems and constant tracking of its performance
– Create time series forecasting models for short, medium and long-term forecasting.
– Create complex propensity models to predict customer behaviour
– Create computer vision models for analysing and classifying image data
Technical Skill
– Knowledge of programing languages: Python and SQL
– Machine learning: Scikit-learn, numpy, pandas, XgBoost…
– Deep Learning: TensorFlow, Keras, Pytorch, RNN, LSTM, CNN…
– Time series forecasting: AR, ARIMA, SARIMA, ES, Prophet, LSTM
– MLOps: MLflow, Model deployment
– Knowledge on Big Data Technologies: PySpark, Airflow
– Strong knowledge on ETL Process and Technique
– Deployment Knowledge: CI/CD Tool Chain
– Strong knowledge on SQL DB and NoSQL DB
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