Principal AI Data Scientist

Location: Remote within the United States; listed locations include Amelia, Ohio and other US locations. The role also references a hybrid schedule, and candidates outside the local area intending to work hybrid must be prepared to relocate.

Company

hirify.global, a Munich Re company, provides specialty insurance products for residential property and recreational markets across all 50 states.

What you will do

• Develop, evaluate, and deploy predictive analytics models and enterprise AI solutions across the full AI lifecycle.
• Prepare data, identify anomalies and operational issues, and apply data cleaning, transformation, and modeling techniques.
• Generate actionable insights supporting customer satisfaction, policy growth, retention, and profitability.
• Present analytical results to internal and external customers, management, business partners, and regulators.
• Establish modeling best practices, develop new techniques, and complete technical peer reviews.
• Lead, coach, and direct junior team members while coordinating workload and project priorities.

Requirements

• Strong background in statistical programming with R, Python, SAS, or related software, plus general programming, data knowledge, and SQL.
• Knowledge of statistical and machine learning methods including linear and logistic regression, GLMs, CART, Random Forests, GBMs, principal component analysis, clustering, and shrinkage techniques such as lasso regression.
• Experience with data wrangling, data-quality evaluation, transformation, and cleaning.
• Experience leading, coaching, and developing teams completing modeling and statistical analysis projects.
• Ability to communicate analytical results to business partners and support business decisions.
• At least 6 years of data science or predictive analytics experience in (re)insurance, or 8+ years of predictive modeling experience in another industry.
• Master’s degree in Business Analytics, Statistics, Computer Science, or an explicitly listed statistics, mathematics, economics, computer science, or operations research combination.
• Applicants requiring employer visa sponsorship will not be considered.

Culture & Benefits

• Regular employment in a flexible environment with remote work and a stated hybrid work option.
• Health, dental, vision, prescription, life, disability, accident, critical illness, and hospital indemnity coverage.
• 401(k) plan with up to a 5% employer match and a company-funded retirement savings plan.
• Paid time off beginning at 24 days annually, family-care leave, volunteer time, and wellness programs.
• Yearly bonus eligibility, tuition assistance, educational achievement bonuses, and adoption and infertility treatment assistance.
• On-site cafeteria, fitness facility, wellness center, walking trails, and free parking.

Hiring process

• Submit a cover letter with additional information if not currently local but intending to relocate for the hybrid schedule.
• Only selected candidates will be contacted for an interview after application review.