Role Summary

HIGHLIGHTS

Senior actuarial data scientist role in healthcare analytics. You will build financial and risk models for value-based care and at-risk contracts, deploy and monitor production predictive models, and translate model outputs into financial strategy. Senior position based in Lenexa, KS (hybrid indicated in title) with leadership and cross-functional partnership responsibilities.

JOB DESCRIPTION SUMMARY

Build financial and risk models for value-based care and at-risk contracts
Develop dynamic pricing and underwriting frameworks using GLM/GBM
Deploy and monitor predictive models in production with MLOps
Partner with senior business leaders to quantify ROI and financial impact
Lead and mentor data scientists and analysts, promoting model governance

DOMAIN EXPERTISE

Healthcare cost forecasting and utilization modeling
Pricing at-risk contracts and value-based care modeling
Deploying predictive models in production (MLOps)
Working with large, complex datasets using big data technologies

KEY REQUIREMENTS

2+ years of progressive experience in forecasting and quantitative risk modeling
Advanced Python proficiency and strong SQL skills
Experience deploying and monitoring predictive models in production (MLOps)
Experience with large, complex datasets and big data technologies
Bachelor's degree in Actuarial Science, Data Science, Statistics, or related

TECH STACK

Git_GitHub

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Build financial and risk models for value-based care and at-risk contracts
Develop dynamic pricing and underwriting frameworks using GLM/GBM
Deploy and monitor predictive models in production with MLOps
Partner with senior business leaders to quantify ROI and financial impact
Lead and mentor data scientists and analysts, promoting model governance

DOMAIN EXPERTISE

Healthcare cost forecasting and utilization modeling
Pricing at-risk contracts and value-based care modeling
Deploying predictive models in production (MLOps)
Working with large, complex datasets using big data technologies

KEY REQUIREMENTS

2+ years of progressive experience in forecasting and quantitative risk modeling
Advanced Python proficiency and strong SQL skills
Experience deploying and monitoring predictive models in production (MLOps)
Experience with large, complex datasets and big data technologies
Bachelor's degree in Actuarial Science, Data Science, Statistics, or related

TECH STACK

Git_GitHub

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Build financial and risk models for value-based care and at-risk contracts
Develop dynamic pricing and underwriting frameworks using GLM/GBM
Deploy and monitor predictive models in production with MLOps
Partner with senior business leaders to quantify ROI and financial impact
Lead and mentor data scientists and analysts, promoting model governance

DOMAIN EXPERTISE

Healthcare cost forecasting and utilization modeling
Pricing at-risk contracts and value-based care modeling
Deploying predictive models in production (MLOps)
Working with large, complex datasets using big data technologies

KEY REQUIREMENTS

2+ years of progressive experience in forecasting and quantitative risk modeling
Advanced Python proficiency and strong SQL skills
Experience deploying and monitoring predictive models in production (MLOps)
Experience with large, complex datasets and big data technologies
Bachelor's degree in Actuarial Science, Data Science, Statistics, or related