Senior Data Scientist: Statistical Modeling, AI/ML
Remote, United States
R
USD 154K-200K (estimate) Senior-level Full Time
Tasks
- Advise on analytics data governance provenance metadata versioning and access control
- Assess model quality reliability bias drift usefulness
- Define metrics KPI data validation rules and quality checks
- Design evaluate and explain statistical and machine learning models
- Develop and maintain reproducible R analytics pipelines dashboards and reports
- Integrate and validate enterprise healthcare EHR data sources
- Lead statistical modeling and AI ML evaluation
- Perform data governance and data quality assurance
- Support Agile SAFe delivery with analytics user stories and acceptance criteria
- Translate stakeholder questions into actionable executive analytics
- Use Git and GitHub for version control code review and reproducible delivery
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Agile | Artificial Intelligence | Azure | Bayesian Methods | Clustering | Data Governance | Data Lineage | Data Quality | Data Validation | Data provenance | Data quality assurance | Databricks | Delta Lake | Dimension reduction | Git | GitHub | Machine Learning | Metadata Management | NLP | Power BI | Python | Quality Assurance | R | SAFe | SQL | Series modeling | Simulation | Statistical modeling | Time Series | Time Series Modeling | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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