Lead Data Scientist (AI)

Location: US-Remote; work from anywhere in the United States for most positions. An in-person interview may be required during the hiring process.

Salary: USD $118,664–$230,619 per year. In California, the typical hiring range is $139,713–$218,302; state-specific pay scales also apply.

Company

hirify.global helps people reduce risk and overcome unexpected events, serving insurance customers for more than 60 years.

What you will do

• Partner with Marketing, Sales, and Customer Experience leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop analyses, models, and frameworks for customer acquisition, lifecycle engagement, retention, monetization, and ROI improvement.
• Build scalable machine learning solutions for targeting, segmentation, uplift modeling, and LTV prediction.
• Lead experimentation, measurement, and growth analytics practices, including translating complex insights into actionable recommendations.
• Collaborate with engineering to productionize reliable, high-performance models and analytics pipelines.
• Apply current AI solutions in data science and mentor junior data scientists.

Requirements

• BS degree in a STEM major required; MS or PhD preferred.
• 7+ years of experience in data science, machine learning, or growth analytics, with a record of delivering business impact.
• Expert-level SQL and Python skills and experience with modern data and ML ecosystems.
• Experience in growth-focused data science, including paid marketing optimization, attribution, funnel diagnostics, experimentation, and user segmentation.
• Ability to design and lead complex A/B/n testing frameworks, including multi-armed bandits and causal inference models.
• Hands-on experience building and deploying production machine learning models.
• Strong communication and storytelling skills, with the ability to simplify complex concepts for non-technical partners.
• Ability to operate in zero-to-one problem spaces and partner with senior-level stakeholders using strong product and business intuition.

Nice to have

• Experience fine-tuning Generative AI and LLMs for domain-specific applications.
• Experience in consumer, fintech, SaaS, or marketplace environments.
• MS or PhD degree.

Culture & Benefits

• Remote flexibility within the United States for most positions.
• Paid vacation, sick time, nine company holidays, and volunteer hours.
• Medical, dental, vision, life, and pet insurance, plus a 401(k) plan with company match.
• Potential holiday, referral, and performance-based bonuses.
• Education assistance, professional development opportunities, promotional opportunities, and health and wellbeing resources.
• Employment includes competitive compensation and reasonable accommodation support for qualified applicants with disabilities.