TL;DR

Staff Data Scientist (AI): Analyzing and applying data across the business to inform product strategy and performance with an accent on advanced statistical methods and experimentation. Focus on conducting deep-dive analyses, enhancing data models, and influencing strategic decision-making.

Location: San Francisco

Compensation: $250K – $300K + equity

Company

%hirify_global% is the leading conversational AI platform empowering every brand to deliver concierge customer experience.

What you will do

Conduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights.
Enhance and extend %hirify_global%’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.
Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience.
Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.
Build and continuously improve %hirify_global%’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.
Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making.

Requirements

Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data.
Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design.
5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products.
Ability to reason about and analyze machine learning models, understanding their assumptions, trade-offs, and impact on product and customer outcomes.
A proven track record of designing, running, and analyzing experiments at scale.
Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.

Benefits

Medical, dental, and vision benefits
Take what you need vacation policy
Daily lunches, dinners and snacks in the office to keep you at your best