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Senior Data Scientist

Pager

full-remoteseniorpermanentdatabackend Full remote 9 days ago via WTTJ

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Tags

PythonSQLMachine LearningMLOpsMLOps MonitoringGenerative AILLMsRAGAWSHealthcare Analytics

About the role

Role Overview

Join Pager as a Senior Data Scientist to lead high-impact data science and AI initiatives. You will develop, evaluate, deploy, and monitor machine learning and AI solutions that measurably support the business.

Responsibilities

  • Design, develop, deploy, and optimize machine learning, predictive analytics, and AI-powered solutions
  • Validate and evaluate machine learning and generative AI systems using comprehensive evaluation strategies
  • Work with Engineering and Data Engineering to implement, operationalize, and scale models in production
  • Create and run benchmarking and model evaluation frameworks
  • Communicate findings and recommendations to business and technical stakeholders
  • Apply MLOps practices for model monitoring and production AI systems
  • Build and evaluate generative AI solutions (LLMs, RAG, or AI agents)

Requirements

  • Strong foundation in statistics, hypothesis testing, experimental design, and predictive modeling
  • Experience with large datasets and distributed data processing environments
  • 7+ years in data science, machine learning, advanced analytics, or related
  • Bachelor’s degree in a quantitative field (Master’s preferred)
  • Proficiency in Python and SQL plus common ML frameworks
  • Demonstrated experience deploying machine learning models in production
  • Ability to lead projects and collaborate cross-functionally
  • Experience designing evaluation frameworks and benchmarking methodologies
  • Familiarity with MLOps, model monitoring, and production AI
  • Cloud experience with AWS, Azure, or Google Cloud

Nice to Have / Additional Signals

  • Experience in healthcare, digital health, or other regulated industries
  • Knowledge of responsible AI (explainability, bias mitigation)

About Pager

Pager builds technology products that help organizations use data and AI to drive measurable outcomes. The role sits within a team delivering high-priority data science and AI initiatives, collaborating across Product, Engineering, Analytics, and stakeholders.

Scraped 6/11/2026

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