Mercedes-Benz Research and Development India Private Limited Looking for Data scientist – Sales at Bengaluru, Karnataka Full Time

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