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CareSource
CareSource
1.001 – 5.000 Angajați
Sponsor pentru viza H1BAsigurare de sănătateAsigurăriAsistență medicală
CareSource este o companie de asigurări de sănătate care își deservește membrii prin planuri Medicaid, Marketplace și Medicare Advantage. Acoperirea și serviciile sale de sprijin sunt concepute pentru grupuri precum adulții și familiile cu venituri mici, copiii, femeile însărcinate, persoanele în vârstă și persoanele cu dizabilități. CareSource oferă, de asemenea, resurse pentru servicii stomatologice, oftalmologice, de audiologie, farmaceutice și pentru sprijin legat de COVID-19, precum și instrumente online și mobile care îi ajută pe membri să își gestioneze îngrijirea medicală.
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Locurile de muncă ale companiei

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.

USStatele Unite ale Americii
72.200 $ – 115.500 $ / an
RemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăSpecialist în știința datelor
PythonSQL

Descriere

  • 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

Cerințe

  • 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

Beneficii

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

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