Senior Data Scientist, Applied AI for Smarter Underwriting

paretocaptiveservicesllc

United States

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Fully paid medical, dental, and vision
Flexible PTO
401k company contribution
Tuition reimbursement
Professional development allowance
Transportation allowance and parking
Hybrid work environment

Job summary

Pareto Captive Services LLC is seeking a Senior data science professional to lead applied AI and data science workstreams in healthcare and underwriting. You will own end-to-end model delivery, partner with analytics, business and engineering to translate evidence into actions and outcomes.

The role emphasizes production-grade models, explainability, and governance, with a focus on pricing accuracy, risk selection, and operational efficiency. A hybrid work setup is offered.

Qualifications

  • Bachelor's or master's in a quantitative field (Statistics/Data Science/CS/Math/Engineering).
  • 8+ years in data science, ML, statistics, or actuarial analytics, with healthcare/insurance data experience.
  • Proficiency in Python and SQL, with ML frameworks like scikit-learn, XGBoost, or GBMs.
  • Deep expertise in supervised/unsupervised ML, explainability, calibration, and optimization.
  • Ownership of production models and the MLOps lifecycle on AWS or similar cloud platform.

Responsibilities

  • Own end-to-end delivery of predictive underwriting and pricing workstreams from framing to deployment, monitoring, and iteration.
  • Frame evidence-based recommendations across model quality, risk, cost, and scalability.
  • Define Analytics-Ready DataSet and reusable feature requirements across claims, pharmacy, utilization, financial, underwriting, and external data.
  • Apply point-in-time development and out-of-time validation for claims maturity, seasonality, leakage, stability, and uncertainty.
  • Develop, compare, and challenge predictive models and hybrid rule/model approaches.
  • Balance near-term delivery with exploration of emerging methods including deep learning or generative AI.
  • Translate model needs into detailed feature requirements and coordinate with legal for approvals.
  • Manage third-party model evaluations and ROI analyses when independent validation is needed.
  • Produce explainable, reproducible outputs and follow governance standards.

Skills

Advanced Python & SQL
Explainable ML & model validation
Stakeholder communication

Education

Bachelor's or Master's in Statistics/Data Science/CS/Math/Engineering

Tools

scikit-learn
XGBoost
GBMs
AWS / MLOps
PyTorch

Job description

Pareto Captive Services LLC is seeking a Senior data science professional to lead applied AI and data science workstreams in healthcare and underwriting. You will own end-to-end model delivery, partner with analytics, business and engineering to translate evidence into actions and outcomes.

The role emphasizes production-grade models, explainability, and governance, with a focus on pricing accuracy, risk selection, and operational efficiency. A hybrid work setup is offered.

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