IT Data Scientist - Level 2
Tasks
- Acquire data into data lake and data warehouse
- Analyze data quality trends and patterns
- Build machine learning models with Python and R
- Build machine learning models with SAP HANA PAL
- Create analytical reports with visualization tools
- Design develop and test artificial neural network models
- Develop database artifacts for staging ML data
- Gather machine learning use case requirements
- Provide production hyper care and resolve issues
- Support SDLC design reviews documentation and migrations
Perks/Benefits
- 401k with company match
- ADandD insurance
- Dental insurance
- Disability insurance
- Employee stock ownership plan
- Health insurance
- Holidays
- Life insurance
- Paid time off
- Paid training
- Profit sharing
- Vision insurance
Skills/Tech-stack
Analytics Cloud | Artificial neural networks | BigQuery | Clustering | Convolutional Neural Networks | Data Lake | Data Warehouse | Decision Trees | Deep learning | Huggingface | Keras | Linear Regression | Logistic Regression | Looker | Machine Learning | Multivariate Regression | Neural Networks | NumPy | Pandas | PyTorch | Python | R | Recurrent Neural Networks | SAP Analytics | SAP Analytics Cloud | SAP HANA | SAP HANA Predictive Analytics Library | SQL | SciPy | Scikit-learn | TensorFlow | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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