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SUMMARY
The main focus for this role is developing/monitoring models used in multivariate analysis, linear modeling and data mining. This would include developing and testing predictive risk models; interact, understand and articulate the complex mathematical and computational learning concepts (to appropriate staff). In addition, this position will be expected to understand the business goals (growth) and capital strength and make strategic recommendations to enhance business processes and reflect our strategic goals.
RESPONSIBILITIES/TASKS: Responsibilities will be multi-disciplinary and will include:
Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.
ADDITIONAL RESPONSIBILITIES/TASKS FOR DATA SCIENTIST II:
EDUCATION:
Bachelor’s degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company’s learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged.
EXPERIENCE:
DATA SCIENTIST I:
With proper education credentials, no experience is required; however, workers compensation, predictive modeling and actuarial experience are preferred.
ADDITIONAL EXPERIENCE FOR DATA SCIENTIST II:
2 years of research, modeling or actuarial experience required. Workers compensation experience is preferred. Demonstrated ability in statistical modeling and data mining techniques (GLM, clustering, decision trees, etc). Strong understanding of modeling software and data manipulation techniques. Strong understanding of insurance related modeling and data. Strong project management skills.
SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED:
WORKING CONDITIONS:
Work is performed in an office setting with no unusual hazards.
The qualifications listed above are intended to represent the minimum education, experience, skills, knowledge and ability levels associated with performing the duties and responsibilities contained in this job description.
Pay Range
Actual compensation decision relies on the consideration of internal equity, candidate’s skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $67,500 and $113,100.
We are an Equal Opportunity Employer. Diversity is valued and we will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an “at will” basis. Nothing herein is intended to create a contract.
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