CareSource
CareSource
CareSource एक स्वास्थ्य बीमा कंपनी है, जो Medicaid, Marketplace और Medicare Advantage योजनाओं के माध्यम से सदस्यों को सेवाएँ प्रदान करती है। इसकी कवरेज और सहायता सेवाएँ कम आय वाले वयस्कों और परिवारों, बच्चों, गर्भवती महिलाओं, वृद्ध वयस्कों और दिव्यांग लोगों सहित विभिन्न समूहों के लिए तैयार की गई हैं। CareSource दंत चिकित्सा, दृष्टि, श्रवण, फार्मेसी और COVID-19 सहायता संसाधन भी उपलब्ध कराती है। इसके ऑनलाइन और मोबाइल उपकरण सदस्यों को अपनी स्वास्थ्य सेवा का प्रबंधन करने में मदद करते हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

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

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