The role involves researching and developing statistical and machine learning models to analyze structured and unstructured data for predictive scores
Job Summary
The role involves researching and developing statistical and machine learning models to analyze structured and unstructured data for predictive scores.
Candidates will lead the design of data acquisition processes and machine learning models to produce key attributes for risk segmentation.
This position offers an annual incentive bonus and country-specific benefits tailored to the employee's location.
Matching Summary
The role involves researching and developing statistical and machine learning models to analyze structured and unstructured data for predictive scores.
Salary
Base: $95,300 - $158,800 (US National); Bonus: Eligible for annual incentive; Benefits: Country specific benefits available
Skills & Requirements
Must-have
Statistical and machine learning modeling
Structured and unstructured data analysis
Python SQL R Java C++ coding
Risk segmentation model development
Predictive scoring and attribute generation
Nice-to-have
Innovative analytics methodology ideation
Cross-functional peer collaboration
Strategic business and technical leadership
Mentoring and knowledge transfer skills
Proactive problem-solving initiative
Key Requirements
Minimum undergraduate degree in relevant field with 4+ years experience
Master's degree in relevant field with 2+ years experience
PhD in a relevant field
Domain expertise in Data Science and Statistical Analysis
Ability to scope and execute new statistical steps