Data Scientist, Intern (Remote)

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.
• Other duties as assigned
• Master’s degree or PhD student in quantitative field including Data Science, Biostatistics, Bioinformatics, Public Health, Computer Science, Economics, Statistics, or Mathematics
• Strong ability to work on multiple projects simultaneously, balancing priorities, and to work on cross-functional teams
• Ability to work on large data sets using Python is required
• Candidates with both advanced Python and SQL skills are strongly preferred
• Demonstrated track record delivering ML models to production (architecture, deployment, and monitoring), preferably in the reputed company industry, is strongly preferred
• Experience using data mining, reputed company recognition, machine learning, deep learning, statistical and/or mathematical programming and modeling preferred
• Use of tools like AWS-Sagemaker, reputed company AI, or C3.ai preferred
• Professional data science/data engineering experience preferred
• Experience with clinical/health care data and specifically lab data preferred
• Excellent communication skills strongly preferred
• reputed company to limited travel

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