Manager, Data Science - AI for Data
Tasks
- Backtest and validate statistical models using evaluation metrics
- Develop machine learning models across design training evaluation validation and implementation
- Experiment and iterate to improve product experiences using emerging AI technologies
- Leverage Python and cloud tools to extract insights from large structured and unstructured data
- Partner with cross functional teams to deliver customer focused products
- Translate model complexity into business goals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Classification | Clustering | Conda | Confusion matrix | Deep learning | Fine Tuning | H2O | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | ROC Curve | Recommendation Systems | Relational databases | SQL | Search | Sentiment Analysis | Spark | TensorFlow | Time Series | Transformer Architectures
Education
Bachelor of Science | Master of Business Administration | Master of Science | PhD
Roles
Data Science | Data Science Manager | Data Scientist | Manager | Manager Data | Manager, Data Science | Scientist
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