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Alignment Health
Alignment Health
501 – 1000 Darbinieki
ApdrošināšanaVeselības apdrošināšanaVeselības aprūpe
Alignment Health ir veselības apdrošināšanas uzņēmums, kas koncentrējas uz Medicare dalībnieku aprūpes uzlabošanu, jo īpaši senioriem, cilvēkiem ar hroniskām slimībām un cilvēkiem trauslā veselības stāvoklī. Uzņēmums, kas dibināts 2013. gadā, apvieno personalizētu aprūpes modeli ar tehnoloģijām un diennakts konsultatīvās aprūpes komandu, kas koordinē atbalstu ar uzticamiem vietējiem pakalpojumu sniedzējiem. Tā darbība aptver veselības aprūpes pakalpojumu sniegšanu un apdrošināšanu, koncentrējoties uz to, lai aprūpe dalībniekiem būtu pieejamāka, atsaucīgāka un vairāk orientēta uz izmaksām. Alignment Health pieņem darbā darbiniekus augošā veselības aprūpes organizācijā, kas apkalpo Medicare kopienu vajadzības.
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Vakances uzņēmumā

Senior AI and Data Scientist

Architect production machine learning solutions for Alignment Health’s senior care platform. Lead healthcare analytics, model deployment, and technical mentorship.

USAmerikas Savienotās Valstis
172 364 $ – 258 547 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
DockerJavaMākonisPySparkPythonSparkSQLUnity

Apraksts

  • Develop end-to-end AI and machine learning solutions for healthcare challenges such as risk stratification, clinical decision support, automated chart review, and fraud detection.
  • Build production machine learning systems that process millions of healthcare transactions.
  • Manage the machine learning lifecycle, from experimentation and validation to deployment, monitoring, drift detection, and ongoing improvement.
  • Set up instrumentation, observability, alerts, and feedback loops to support model performance and reliability in production.
  • Research and apply advanced deep learning, natural language processing and large language models, computer vision, and causal inference.
  • Promote engineering practices that support code quality, testing, documentation, reuse, and maintainability.
  • Work with Product, Clinical, Operations, and Compliance teams to find high-value AI opportunities.
  • Explain technical concepts in business terms for executives and inform product and technology decisions.
  • Guide data scientists through code reviews, architecture discussions, pair programming, presentations, and documentation.
  • Interview technical candidates and demonstrate rigorous analysis and problem-solving practices.

Prasības

  • Bring 5–8 years of experience delivering production data science or machine learning solutions with demonstrated business impact.
  • Show a track record of designing complex machine learning systems from research through production deployment.
  • Offer deep expertise in multiple machine learning domains and strong software engineering fundamentals.
  • Have experience leading technical projects and mentoring data scientists.
  • Hold a PhD in Computer Science, Machine Learning, Statistics, or a related field.
  • Stay current with advances in machine learning and AI, healthcare analytics, and software engineering practices.
  • Demonstrate expert proficiency in data science methods, workflows, and best practices.
  • Bring advanced machine learning skills, including ensemble methods, deep learning, natural language processing, large language models, and computer vision.
  • Apply strong statistical analysis and experimental design skills.
  • Write production-quality, maintainable code using Python, Java, SQL, or PySpark at an expert level.
  • Use advanced SQL and work with high-volume, high-dimensional healthcare data.
  • Work with Databricks, Spark, Delta Lake, MLflow, Unity Catalog, and cloud platforms.
  • Use Git workflows, CI/CD pipelines, Docker, and modern MLOps practices.
  • Understand healthcare data and Medicare Advantage operations in depth.
  • Communicate exceptionally well, translating technical complexity into business value.
  • Create clear data visualizations and communicate findings through effective storytelling.
  • No license is required.

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