TL;DR

Staff Data Scientist (AI): Partner with product, engineering, and design teams to develop advanced analytics and AI-driven insights focused on core product experience and user behavior. With an accent on experimentation design, user segmentation, and building executive dashboards. Focus on designing multivariate experiments, analyzing user engagement, and driving data-informed business decisions.

Location: Remote within US Zones 2 and 3 only

Salary: $175,400–$267,000 USD annually depending on US Zone

Company

%hirify_global% is a global software company pioneering a Virtual First work model, combining distributed autonomy with human connection to shape the future of work.

What you will do

Perform deep analytical dives to identify problems, design and execute experiments, and derive actionable insights.
Create personalized user segmentation strategies using propensity models for targeted offers and experiences.
Build automated reporting and executive dashboards to track acquisition, monetization, and engagement trends.
Monitor and analyze high volumes of multivariate experiments to optimize product and revenue flows.
Collaborate cross-functionally with Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives.
Translate complex data concepts into clear business implications and prioritize initiatives effectively.

Requirements

Must be located within US Zones 2 or 3 (specific zip code zones defined by %hirify_global%).
Bachelor’s or higher degree in quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, or Engineering.
8+ years of experience using analytics to drive business decisions including product, marketing, or business intelligence analytics.
Strong proficiency in SQL and deep understanding of statistical analysis and experimentation design.
Experience running multivariate experiments to optimize product or revenue.
Excellent verbal and written communication skills with leadership and influence capabilities.

Nice to have

Product analytics experience in a SaaS company.
Master’s or higher degree in a quantitative discipline.
Proficiency in programming/scripting and statistical packages like Python or R.

Culture & Benefits

Comprehensive medical, dental, and vision coverage.
401(k) plan with company match and immediate vesting.
Flexible PTO, paid holidays, volunteer time off, and parental benefits.
Perks allowance for wellness, learning, food, and more.
Access to global coworking spaces and quarterly cell phone/internet allowance.
Mental health, disability, and neurodivergence support benefits.