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nlp python deep learning mlops ml
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📋 Description

  • Lead high-impact modelling and analytical initiatives in insurance risk.
  • Set modeling strategy and raise technical standards across the org.
  • Hybrid remote work with in-person option for those near Boston.
  • Collaborate with carriers, brokers, and insurers to translate risk into value.
  • Drive complex, real-world risk decisions using advanced data science.
  • Work with a world-class data science team on timeseries, NLP, and ML problems.

🎯 Requirements

  • Bachelor’s in CS/Data Science/Biostatistics/Math or related; 8+ years in data science with
  • OR Master’s/PhD in related field with 5+ years of experience.
  • Expertise in deep learning, ML algorithms, Python ecosystem.
  • Strong communication with nontechnical stakeholders and leadership.
  • Experience with NLP, medical data, long-tail predictions, or similar problem spaces.
  • Familiarity with MLOps lifecycles, model drift monitoring, KPI tracking.

🎁 Benefits

  • Competitive salary range $190,000 - $235,000 base.
  • Annual bonus, equity grant, and comprehensive benefits.
  • Generous stock options, unlimited vacation, flexible remote options.
  • Full benefits: medical, dental, vision, 401k, parental leave.
  • Learning opportunities and ownership over impactful projects.
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