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CareSource
CareSource
1001 – 5000 Darbinieki
H1B vīzas sponsorsApdrošināšanaVeselības apdrošināšanaVeselības aprūpe
CareSource ir veselības apdrošināšanas uzņēmums, kas apkalpo savus biedrus, izmantojot Medicaid, Marketplace un Medicare Advantage plānus. Tā piedāvātais segums un atbalsta pakalpojumi ir paredzēti dažādām grupām, tostarp pieaugušajiem un ģimenēm ar zemiem ienākumiem, bērniem, grūtniecēm, senioriem un cilvēkiem ar invaliditāti. CareSource nodrošina arī zobārstniecības, redzes, dzirdes un aptiekas pakalpojumus, kā arī COVID-19 atbalsta resursus. Tiešsaistes un mobilie rīki palīdz biedriem pārvaldīt savu veselības aprūpi.
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Vakances uzņēmumā

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.

USAmerikas Savienotās Valstis
72 200 $ – 115 500 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PythonSQL

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

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

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