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Alignment Health
Alignment Health
501 – 1000 Zaposleni
ZavarovanjeZdravstveno varstvoZdravstveno zavarovanje
Alignment Health je zdravstvena zavarovalnica, osredotočena na izboljšanje oskrbe za člane programa Medicare, zlasti za starejše, ljudi s kroničnimi boleznimi in krhke osebe. Podjetje, ustanovljeno leta 2013, združuje personaliziran model oskrbe s tehnologijo in 24-urno ekipo za usklajevanje oskrbe, ki podporo usklajuje z zaupanja vrednimi lokalnimi ponudniki. Njegovo delo zajema zagotavljanje zdravstvene oskrbe in zavarovanje, pri čemer si prizadeva, da bi bila oskrba za člane dostopnejša, odzivnejša in bolj gospodarno naravnana. Alignment Health zaposluje v rastoči zdravstveni organizaciji, ki skrbi za potrebe skupnosti programa Medicare.
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Delovna mesta v podjetju

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.

USZdružene države Amerike
172.364 $ – 258.547 $ / leto
Na daljavoPolni delovni časSeniorZahtevani Jezik: angleščinaPodatkovni znanstvenik
DockerJavaOblakPySparkPythonSparkSQLUnity

Opis

  • 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.

Zahteve

  • 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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