Company
Healthcare
CardiovascularAdvancedPracticeProvider
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Cardiovascular Advanced Practice Provider. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Develop and implement data science models. Build and maintain data pipelines”
Industry & Context.
Problem solving; Analytical skills
What They're Looking For.
Must Have
5+ years experience, Master's degree
Nice to Have
Doctorate degree preferred, Experience with Python, Experience with R, Experience with SQL, Experience with Tableau, Experience with Power BI, Experience with AWS, Experience with GCP, Experience with Azure, Experience with machine learning, Experience with statistical modeling, Experience with data engineering, Experience with data warehousing, Experience with data visualization, Experience with A/B testing, Experience with causal inference, Experience with cloud data platforms, Experience with ML frameworks, Experience with data science, Experience with business intelligence, Experience with analytics engineering, Experience with quantitative analysis
What You'll Do.
Develop and implement data science models
Build and maintain data pipelines
Create and manage BI dashboards
Perform quantitative analysis
Collaborate with stakeholders on data needs
Ensure data quality and integrity
Stay updated on ML/AI advancements
Contribute to analytics engineering best practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholder collaboration
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