About the role

Role Overview

Lead Data Scientist for the Revenue Analytics team. You will develop strategic, data-grounded recommendations to drive and recover revenue, and lead cross-functional execution across the revenue organization.

Key Missions

Lead cross-functional teams to influence and implement revenue-driving initiatives and recommendations.
Identify and deliver innovative strategies to maximize revenue and enhance client acquisition across the entire revenue waterfall.
Improve quantitative analysis techniques to better inform strategic direction and audience influence.
Refine data infrastructure and advance quantitative analytics capabilities.
Mentor junior team members.
Explore and integrate AI into day-to-day workflows.

Requirements

Advanced degree in a quantitative field (e.g., data science, analytics, economics, statistics, or similar).
Expert knowledge of SQL and Python.
7+ years of experience in data science and/or consulting.
Strong experience with A/B testing.
Experience using GitHub.
Excellent written and verbal communication skills, able to explain data insights to diverse audiences.
Located within the continental United States.

Nice-to-Haves

Strong enthusiasm for new AI tools (e.g., Claude, Gemini) and interest in adopting them to improve efficiency.
Collaborative, humble, and empathetic team approach; ability to prioritize holistically for the business.

About Extend

Extend is a company focused on revenue analytics and helping businesses optimize growth through data-driven strategy. The role sits within a Revenue Analytics team that develops recommendations, improves quantitative techniques, and refines supporting data infrastructure.

Lead Data Scientist (Revenue Analytics)

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