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Текст:
Hirify AI/Оригинал
TL;DR
Managing Data Science Lead (Insurance/Predictive Analytics): Leading predictive analytics and statistical modeling projects that support insurance business decisions, customer retention, policy growth, and profitability with an accent on machine learning, data quality, and model governance. Focus on managing a data science team, developing modeling best practices, explaining advanced analytics to nontechnical stakeholders, and supporting regulatory rate filings.
Location: Amelia, Ohio, United States. The role is listed as remote, with a hybrid environment and an option to work on site. Candidates who are not currently local but intend to relocate for the hybrid schedule must provide additional information in a cover letter.
Company
American Modern Insurance Group, a hirify.global company, provides specialty insurance products and services for residential property and recreational markets across all 50 states.
What you will do
Lead a team that builds and implements predictive analytics models and statistical analyses supporting financial and operational goals.
Prepare predictive analytics analyses and modeling for complex projects and present results to internal and external customers and management.
Develop actionable insights to improve customer satisfaction, policy growth, retention, and profitability.
Oversee data preparation, anomaly identification, data quality evaluation, data scrubbing, transformation, and modeling techniques.
Maintain modeling best practices, new techniques, and standard operating procedures with internal and external business partners.
Communicate assumptions, results, alternatives, and advanced analytical procedures to business stakeholders and regulators when supporting rate filings or modeling practices.
Requirements
Generally, 10 years of actuarial, data science, or predictive analytics experience, including 5 years of management experience.
Strong background in statistical programming with R, Python, SAS, or related software, plus general programming, data knowledge, and SQL.
Familiarity with linear and logistic regression, GLMs, CART, random forests, GBMs, principal component analysis, clustering, and shrinkage techniques including lasso regression.
Experience with data wrangling, data quality evaluation, and transforming and cleaning data for analysis.
Bachelor’s degree in Business Analytics, Statistics, Computer Science, Statistics/Math, or Actuarial Science.
Ability to collaborate across an international organization and build strong relationships within the company.
Nice to have
Master’s degree.
Fellowship in the Casualty Actuarial Society.
Culture & Benefits
Regular employment with a flexible remote and hybrid work environment.
Health, dental, vision, prescription, life, disability, and supplemental insurance options for employees and eligible dependents.
401(k) plan with up to a 5% employer match and a company-funded retirement savings plan.
Paid time off starting at 24 days annually, family-care leave, volunteer leave, wellness programs, and educational assistance.
Yearly bonus eligibility, adoption and infertility treatment assistance, free parking, and access to on-site cafeteria, fitness, wellness, and walking-trail facilities.
Applicants requiring employer visa sponsorship will not be considered.
Hiring process
Submit an application; a cover letter with relocation information is required if not currently local but intending to relocate for the hybrid schedule.
Only selected candidates will be contacted to schedule an interview.
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