Senior Applied Scientist, Special Projects
Tasks
- Analyze large datasets to generate insights
- Collaborate with cross-functional teams to deliver solutions
- Define roadmap and strategic initiatives
- Design and implement AI/ML solutions for healthcare challenges
- Design simulations and experiments
- Develop statistical and ML models
- Drive advancements in machine learning and data science
- Establish best practices for ML development and deployment
- Establish best practices for ML experimentation and evaluation
- Present research findings to technical and non-technical audiences
Perks/Benefits
- 401k matching
- Adoption and surrogacy reimbursement
- Dental insurance
- Employee Assistance Program (EAP)
- Flexible spending accounts
- Health insurance
- Mental health support
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Artificial Intelligence | C plus plus | Causal Inference | Data Science | Deep learning | Distributed Systems | Fine Tuning | Hadoop | Healthcare Machine Learning | Java | Machine Learning | Model Fine-tuning | Model post-training | Model pretraining | NLP | Neural Networks | NumPy | Post-training | Python | SciPy | Scikit-learn | Spark | Spark MLlib | Statistical modeling | TensorFlow
Education
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