Data Scientist, SW Eng
Tasks
- Analyze datasets with descriptive statistics
- Build training validation and testing datasets
- Collaborate on data science prototypes for production
- Collaborate with external parties to incorporate new techniques and tools
- Detect dataset bias and data leakage
- Develop data acquisition software from disparate sources
- Develop machine learning ensemble methods
- Develop unit tests data quality checks and data pipelines
- Perform time-series analysis
- Plan and execute data science training sessions and hackathons
- Present results to internal and external stakeholders
- Provide guidance to software development teams
- Select feature subsets
- Train and run distributed model training and inference jobs
- Train and validate supervised and unsupervised machine learning models
- Tune models with hyperparameters
Perks/Benefits
Skills/Tech-stack
Azure | Data Quality | Data leakage | Data leakage detection | Data pipeline | Distributed Training | ETL | Ensemble learning | Feature Selection | Hyperparameter Tuning | Keras | Leakage detection | Linux | Machine Learning | NumPy | Pandas | Python | Scikit-learn | Series analysis | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | Unit Testing | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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