Dell Medical School
SeniorDataScienceAnalyst
“Senior Data Science Analyst at Dell Medical School. Skills: ML, AI, Statistical modeling, Data architecture. Lead advanced ML and AI model development. Oversee analytical framework design”
What You'll Achieve.
Advance clinical care; Advance operational efficiency; Advance innovation; Develop advanced data capabilities
Industry & Context.
Problem solving; Triages model performance anomalies with root cause analysis and corrective actions; Integrates different data sources to address complex, multi factor questions
Standard office equipment, Repetitive use of a keyboard, May be exposed to communicable diseases, May be exposed to blood borne pathogens, May be exposed to ionizing radiation, May be exposed to non-ionizing radiation, May be exposed to hazardous medications, May be exposed to disoriented patients, May be exposed to combative patients
What They're Looking For.
Must Have
Master's Degree in Data Science, Engineering, Statistics, Computer Science, or a related analytical/quantitative field, 5 year(s) of experience in advanced analytics or data science, Expertise in cloud analytics environments, Expertise in ML frameworks, Experience with healthcare data standards (OMOP, FHIR, DICOM), Skilled in large-scale data processing, Skilled in modeling, Skilled in architecture design
Nice to Have
Doctorate in Engineering, Mathematics, Computer Science, Health Science, Data Science, Statistics, or a related analytical/quantitative field, 3 year(s) of experience in a complex healthcare setting, Published research or presentations at professional conferences, Demonstrated experience in ETL, Demonstrated experience in automation, Experience with at least one cloud environment, Experience with clinical informatics data exchange standards, Experience with clinical informatics data exchange platforms
What You'll Do.
Lead advanced ML and AI model development
Oversee analytical framework design
Interpret findings for executive audiences
Implement scalable model architectures
Advise leadership on risks
Lead data source integration
Design data architectures
Develop data standards
Create robust data models
Optimize cloud infrastructure
Create enterprise-level dashboards
Lead analytics automation
Advise senior executives
Lead requirements workshops
Build consensus on model adoption
Mentor junior analysts
Document analytical frameworks
Lead emerging AI/ML tool pilots
Contribute to research collaborations
How You'll Work.
Team & Collaboration
Provides leadership in cross-functional teams; Builds cross functional alignment on definitions and KPIs; Navigates governance bodies to advance responsible AI/ML adoption
Communication Scope
Communicates at a high level with messaging tailored to executive audiences; Crafts executive level narratives linking insights to operational decisions; Builds dashboards and scorecards that reveal trends and actionable thresholds
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