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CareSource
CareSource
1 001 – 5 000 Darbuotojai
H1B vizos rėmėjasDraudimasSveikatos draudimasSveikatos priežiūra
CareSource yra sveikatos draudimo bendrovė, aptarnaujanti savo narius per Medicaid, Marketplace ir Medicare Advantage planus. Jos draudimo apsauga ir pagalbos paslaugos skirtos įvairioms grupėms, įskaitant mažas pajamas gaunančius suaugusiuosius ir šeimas, vaikus, nėščiąsias, vyresnio amžiaus žmones ir žmones su negalia. CareSource taip pat teikia odontologijos, regos, klausos ir vaistinių paslaugas bei COVID-19 pagalbos išteklius. Interneto ir mobilieji įrankiai padeda nariams tvarkyti savo sveikatos priežiūrą.
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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.

USJungtinės Valstijos
72 200 $ – 115 500 $ / metai
NuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDuomenų mokslininkas
PythonSQL

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

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

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