Data Scientist (Hybrid as needed)
Lake Success, Nassau, United States
R
USD 89K-150K (estimate) Mid-level Full Time
Tasks
- Build machine learning solutions
- Collaborate with engineering teams
- Communicate findings to clinical and non technical stakeholders
- Conduct exploratory data analysis
- Deploy models to production systems
- Develop and validate statistical and predictive models
- Evaluate model performance and value
- Monitor model predictions
- Perform due diligence on data science initiatives
- Scope data science problems
- Support technical and strategic analyses for machine learning and AI
- Translate clinical requirements to IS capabilities
- Wrangle and gather data
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Business Intelligence | CI/CD | Classification | Cloud Computing | Clustering | Containerization | Data Analysis | Data Lineage | Data Modeling | Data Warehousing | Data Wrangling | ETL | Electronic Health Records | Embedding Models | Exploratory Data Analysis | Feature Stores | Fine Tuning | GCP | Health Records | Language Models | Large Language Models | Machine Learning | Model Evaluation | Optimization Algorithms | Predictive Modeling | Prompt engineering | PyTorch | Python | R | Recommendation Systems | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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