CareSource
CareSource
CareSource — Medicaid, Marketplace және Medicare Advantage жоспарлары арқылы мүшелеріне қызмет көрсететін медициналық сақтандыру компаниясы. Оның қамту және қолдау қызметтері табысы төмен ересектер мен отбасыларды, балаларды, жүкті әйелдерді, егде жастағы адамдарды және мүгедектігі бар жандарды қоса алғанда, әртүрлі топтарға арналған. CareSource сондай-ақ стоматология, көру, есту, дәріхана қызметтерін және COVID-19 бойынша қолдау ресурстарын ұсынады. Онлайн және мобильді құралдар мүшелерге медициналық көмекті басқаруға көмектеседі.

Data Scientist I at CareSource - Remote United States

Support predictive modeling, machine learning, and artificial intelligence initiatives for CareSource’s healthcare operations. Analyze structured and unstructured data, validate clinical outcomes, and help operationalize model pipelines for business use.

Сипаттама

  • Maintain and communicate analytical plans for data science initiatives
  • Help mine and interpret large structured and unstructured datasets
  • Build algorithms to predict risk, identify drivers, and detect anomalies
  • Create visualizations that illustrate algorithm performance
  • Assist with statistical validation and outcome analysis for clinical programs and interventions under guidance
  • Work with cross-functional teams to integrate solutions with existing systems
  • Present findings and ideas to key stakeholders
  • Help prepare code for production-ready end-to-end model pipelines and business deliverables
  • Monitor emerging technologies and research relevant developments
  • Handle other related responsibilities as assigned

Талаптар

  • Bachelor’s degree in data science, mathematics, statistics, engineering, computer science, or a related discipline is required
  • Relevant professional experience may be accepted instead of the required education
  • Familiarity with SQL and at least one of Python or R
  • Understanding of foundational statistical methods, including A/B testing, significance testing, and sampling
  • Working knowledge of predictive modeling and machine learning algorithms
  • Working knowledge of unsupervised learning and deep learning methods
  • Working knowledge of natural language processing technologies
  • Working knowledge of NLP feature extraction methods such as tokenization, embeddings, and text transformations
  • Familiarity with feature engineering and exploratory data analysis
  • Familiarity with optimization methods and artificial intelligence techniques
  • Ability to evaluate large volumes of structured and unstructured data
  • Proficiency in Microsoft Excel, PowerPoint, Word, and Access
  • Strong critical-thinking, verbal communication, presentation, and written communication abilities
  • Ability to work independently and collaborate in a cross-functional team
  • No license or certification is required

Артықшылықтар

  • Performance-based bonus linked to company and individual results
  • Comprehensive total rewards offering
  • Resources supporting employee overall well-being

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