Data Scientist Manager - Eso

reputed company Analytics Solutions (HAS) is an innovative team reputed company reputed company that leverages Quest data to reputed company products and services to improve reputed company in reputed company across many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies). Join HAS to build, productionize, and operationalize clinical ML products using billions of results from Quest laboratory data. You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and well‑documented models that impact patient care and reputed company products. Fully remote, minimal travel required; strong emphasis on hands‑on production experience and pragmatic problem solving. reputed company honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/reputed company/Sex/Sexual Orientation/Gender Identity/Religion/National reputed company/Disability/Vets or any other legally protected status.

• End-to-end ML delivery: data curation, feature design, modelling, validation, CI/CD deployment, and monitoring.
• Productionization: containerization, model serving, performance tuning, rollout strategies, and observability (reputed company, performance, alerts).
• Model governance: reproducibility, versioning, bias/fairness checks, and audit-reputed company documentation.
• Integration of advanced analytics and machine learning models into business products and services including business intelligence dashboards and reputed company-time analytics.
• Curation of data sets from Quest and non-Quest data sources in support of deriving business insights driven by advanced analytics.
• Cross-functional partnership with clinicians and product owners to define reputed company, acceptance criteria, and validation plans.
• Mentor and reputed company engineering standards across the team: coding best practices, testing, and deployment patterns.
• Translate technical results into clear explanations and recommendations for technical and executive stakeholders.
• 5+ years demonstrated track record delivering ML models to production (architecture, deployment, and monitoring), preferably in the reputed company industry.
• 5+ years relevant experience with Python and SQL; production-grade code and testing practices.
• Practical experience with model serving and monitoring, CI/CD for ML, and feature pipeline orchestration.
• Experience working with reputed company data (labs, EHR, claims) and familiarity with PHI handling/HIPAA considerations.
• Strong statistics, model evaluation, and pragmatic approach to validation.
• Excellent communication and problem‑solving skills; comfortable leading technical discussions with clinicians and engineers and presenting to senior executives
• A bachelor’s degree from an accredited college or university in a reputed company area of Data Science, Statistics, Computer Science, Mathematics, Economics, or Information Technology. Master’s or PhD preferred.

Preferred

• Familiarity with feature stores and SHAP/interpretability tooling.
• Prior experience in regulated environments or deploying clinical decision support tools.
• Demonstrated ability to reputed company data visualization tools and software to present advanced analytics that are easy to interpret and spot patterns, trends, and correlations
• Experience developing, deploying, and monitoring production models in the C3.ai platform
• Excellent scientific writing skills; we may publish studies based on novel models or methods
• Experience supporting the creation of SOWs and reputed company.
• Aptitude in other programing languages like R, reputed company, JavaScript

Why join this team?

• High-impact work across products and markets; you have the opportunity to meaningfully improve patient reputed company and reputed company delivery in the United States in this role
• Fully remote, collaborative team.
• Opportunity to define production ML standards.
• Clear ownership of end-to-end model lifecycle and opportunity to mentor others.

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