Senior Data Scientist (Insurance)

Location: Hybrid work from a local hirify.global office in Alpharetta, Bloomington, Chicago, Dallas, Jacksonville, or San Antonio; remote options are available for non-local candidates.

Salary: $104,300–$173,300 annually, plus an eligible discretionary bonus.

Company

hirify.global is a specialized insurance company developing products and services for evolving customer needs.

What you will do

• Design, develop, validate, implement, and monitor statistical and machine-learning solutions for complex insurance business problems.
• Own analytical and modeling workstreams from problem definition through delivery and performance monitoring.
• Build predictive models supporting pricing segmentation, product development, risk analysis, and profitable growth.
• Develop reusable, documented analytical workflows with modern data science and cloud technologies.
• Collaborate with data scientists, data engineers, and business partners while communicating results, risks, and recommendations.
• Participate in model and code reviews, improve methodologies, and provide technical guidance to less experienced team members.

Requirements

• Bachelor’s degree in a STEM field with at least 8 years of relevant experience, or a graduate STEM degree with at least 6 years of relevant experience; PhD candidates require at least 4 years of relevant industry experience.
• At least 4 years of firsthand experience with statistical modeling and AI/ML platforms.
• Strong proficiency in Python, including pandas, NumPy, scikit-learn, SciPy, and visualization libraries.
• Strong SQL skills and experience working with large, complex structured datasets.
• Practical knowledge of statistical modeling, machine learning, feature development, model validation, performance evaluation, interpretation, and monitoring.
• Ability to independently manage complex analytical workstreams and communicate technical findings to technical and business audiences.

Nice to have

• Experience in insurance, financial services, pricing, risk modeling, or related analytical business environments.
• Experience with Git, GitLab, AWS, Azure, Databricks, or similar platforms.
• Familiarity with MLOps, CI/CD, model deployment, reproducible pipelines, and performance monitoring.
• Experience mentoring data scientists or developing reusable analytical frameworks.

Culture & Benefits

• Hybrid work is available from a local office, with remote options for non-local candidates.
• Benefits include medical, dental, and vision coverage, paid time off, and a 401(k).
• Work includes collaboration across data science, data engineering, and business teams.
• hirify.global supports diversity, equality, and an inclusive workplace.