Data Scientist, Claim Experience Analytics

TL;DR

Data Scientist (Claim Experience Analytics): Improving claim operations, servicing, and fulfillment processes by analyzing trends and delivering recommendations to enhance user experience while managing operational costs. Focus on optimizing agent behaviors, ensuring data quality, and translating analyses into clear narratives for informed decision-making.

Location: Remote, US

Salary: $111,000 - $129,000 per year

Company

hirify.global is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth.

What you will do

• Identify high-impact opportunities to improve claim operations, servicing and fulfillment processes.
• Monitor usage trends and anomalies in claim process, measure impact of new product features.
• Translate analyses into clear, compelling narratives and visualizations that enable informed decision-making across stakeholders.
• Partner with Analytics, Operations, Product and Engineering to optimize claim intake, adjudication and fulfillment product features.
• Ensure data quality and usability through regular monitoring and data pipeline creation.

Requirements

• Strong written and verbal communication skills.
• Intellectually curious, willing to think creatively to solve complex business problems.
• 2+ years of experience in product analytics.
• Expertise with SQL, Python, and Github.
• Familiarity with visualization tools (e.g., Tableau) and DBT.
• Bachelor's degree from Maths, Statistics, or a relevant major.

Nice to have

• Practical experience with agentic AI systems in production is a plus

Culture & Benefits

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.