Senior Data Scientist

About this role

Sr. Data Scientist, Claims & Incident Analytics

Location:
based in Chicago / CST but open to remote candidates

Duration
: 3 months+

Overvie

• wSenior data science role focused on machine learning and NLP solutions for claims and incident mitigation analytic

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Responsibiliti

• esTranslate risk management business requirements into well-defined data science solutions, including incident prioritization and claim severity classificati
• onProfile, clean, and prepare claims and incident data for modeling and scori
• ngDevelop feature engineering logic using structured and unstructured data sourc
• esApply NLP and text-processing techniques to claim and incident narratives to extract risk signa
• lsBuild record-linkage approaches to connect incidents and claims where clean unique identifiers are unavailab
• leBuild and validate models that rank incidents by likelihood of escalation or intervention ne
• edBuild and validate claim severity models that classify claims by financial impact and high-dollar ri
• skGenerate explainability outputs including key risk drivers and business-readable flags for incidents and clai
• msCollaborate cross-functionally with Legal, Data Engineering, BI, Data Governance, and MLOps partne
• rsMonitor model performance, drift, scoring quality, and retraining nee
• dsDocument modeling assumptions, feature logic, validation results, limitations, and handoff requiremen
• tsEnsure appropriate handling of PII and sensitive data fields per governance standar
• dsPresent findings and recommendations clearly to both business and technical stakeholde

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Qualificati

• onsExpertise in operations research modeling (LP, IP, MIP) and solvers such as CPLEX or Gur
• obiExpertise in machine learning — supervised, unsupervised, and deep learning meth
• odsExpertise in feature engineering, model evaluation, and hyperparameter tun
• ingProficiency in Python, SQL, and Spark; experience with Scikit-Learn, XGBoost, TensorFlow, PyT...