✦ Luna Orbit — Data & Analytics

Senior Data Scientist

at BlueSight

📍 Remote, US Remote 💰 $145K – $170K USD / year Posted March 22, 2026
Salary $145K – $170K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Degree or equivalent in data science, statistics, computer science, or similar
Category Data & Analytics

This role involves developing and deploying machine learning models in healthcare, working closely with stakeholders to deliver impactful analytics solutions.

  • Develop machine learning models
  • Collaborate with stakeholders
  • Deploy models to production
  • Analyze healthcare data
  • Track KPIs

Utilizes Python, AWS cloud services, and statistical methods to build healthcare-focused predictive models and analytics infrastructure.

The ideal candidate is a senior data scientist with extensive experience in healthcare data, machine learning, and cloud platforms like AWS. They should possess strong communication skills and a proven track record of deploying predictive models in healthcare environments.

PythonAWSmachine learningSQLstatisticscommunication
genAI toolshealthcare data sourcesmodel deploymentpredictive modeling
AWSSageMakerAthenaRDSGlueECRIAMCodeBuild
PythonFlaskFastAPIAWSSageMakerAthenaRDSGlueECRIAMCodeBuildSQLstatisticsmachine learningsupervised learningunsupervised learningclusteringmodel evaluation
PythonFlaskFastAPIAWSSageMakerAthenaRDSGlueECRIAMCodeBuildSQLstatisticsmachine learningsupervised learningunsupervised learningclusteringmodel evaluation
communicationcollaborationproblem-solvingteamworkadaptability
Industry Healthcare IT
Job Function Data science and analytics in healthcare
Role Subtype Data Scientist
Tech Domains Amazon Web Services, Python, SQL, statistics
data scientistmachine learningAWSSageMakerPythonSQLstatisticssupervised learningunsupervised learningclusteringmodel evaluationhealthcare datapredictive modelsmodel deploymentdata analysishealthcare ITpredictive modelingcollaboration

No experience with AWS SageMaker, Lack of healthcare data experience, No proficiency in Python or SQL, No experience deploying models

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