E-verify
DataScienceAnalystII
“Data Science Analyst II at E-verify. Skills: Machine learning models, Data pipelines, Predictive models, Advanced analytics. Develop and deploy advanced analytics. Deploy machine learning models”
What You'll Achieve.
Drive systemwide performance improvement
Industry & Context.
Translate complex business problems; Translate ambiguous questions into structured analytical methods; Resolve conflicts
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 related field, at least 3 year(s) of experience in data science, machine learning, or predictive analytics, Proficiency in Python or similar language, SQL and data modeling skills, Experience with cloud platforms (Azure, AWS, Google), Familiarity with ML frameworks and analytics tools
Nice to Have
Doctorate in Data Science, Engineering, Computer Science or related field, at least 5 year(s) of experience in applied ML experience, Experience working with healthcare datasets and standards (OMOP, FHIR), Experience operationalizing models or using MLOps tools, Demonstrated experience in ETL, automation, and at least one cloud environment, Experience with clinical informatics data exchange standards and platforms
What You'll Do.
Develop and deploy advanced analytics
Deploy machine learning models
Deploy data pipelines
Support enterprise decision-making
Support clinical decision-making
Translate business problems
Contribute to predictive modeling
Contribute to automation initiatives
Mentor junior analysts
Design and implement analytic solutions
Design and develop predictive models
Perform feature engineering
Build and test prototypes
Conduct scenario modeling
Monitor models for performance
Monitor models for drift
Build automated pipelines
Maintain automated pipelines
Maintain ETL processes
Build reproducible scripts
Maintain reproducible scripts
Use code repositories
Perform quality checks
Optimize architecture
Develop advanced dashboards
Develop interactive tools
Automate modeling outputs
Automate analytics workflows
Ensure consistency of KPIs
Create visualizations
Serve as data science consultant
Translate ambiguous questions
Guide teams on interpretation
Mentor junior analysts
Lead data science projects
Communicate with stakeholders
Contribute to best practices
Evaluate cloud technologies
Guide enterprise adoption
Guide architecture decisions
Audit model performance
Remediate model performance
How You'll Work.
Team & Collaboration
Partner with clinical and administrative leaders; Work closely with data architects; Work closely with data engineers; Work closely with informaticians; Work closely with clinicians; Partner with IT; Partner with data engineering; Partner with clinicians; Partner with administrators; Encourage team knowledge-sharing; Encourage joint problem-solving
Communication Scope
Communicates effectively; Simplifies technical concepts; Translates technical findings; Creates visualizations; Adapts communication style
Process & Methodology
Lead small-to-medium-sized data science projects, Define milestones, Track progress, Communicate with stakeholders
Applying for this Data Science Analyst II role?
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