Lead Data Scientist, Revenue Analytics

Extend

Lead Data Scientist for revenue analytics at Extend, focusing on AI-driven solutions to enhance customer satisfaction and drive revenue growth. Guide cross-functional teams to optimize strategies and impact company's bottom line.

Posted 7/23/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $138,750 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and analytics, with a strong focus on revenue optimization and client acquisition strategies. Proficient in advanced quantitative analysis techniques and data pipeline management, while fostering team development and collaboration.

Highest-signal resume keywords

7+ Years Experience In Data ScienceExpert Knowledge Of SQLExpert Knowledge Of PythonA/B TestingAdvanced Degree In Data Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisQuantitative AnalysisCausal Impact AnalysisSimulation ModelsData Pipeline Management

Soft Skills

Exceptional Communication SkillsEmpathetic Team PlayerIntellectually CuriousCollaborative

Tools & Technologies

GithubAI ToolsClaudeGemini

Industry Keywords

Revenue OptimizationClient AcquisitionData AnalyticsData StructuresTracking Methodologies

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.
Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction.
Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.
Develop junior members of the team in terms of analytical thinking and excellence.
Leading the charge for how to embed AI into the Revenue Analytics workflow, raising the floor on what the team can produce. You'll have latitude to experiment and the expectation that you will.

Requirements

What you’ll need

7+ years experience in data science and/or consulting with strong emphasis on breaking down ambiguous business problems into data driven impact.
Exceptional written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds.
Expert knowledge of SQL, Python, A/B testing, and Github.
Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency.
Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically.
Empathetic, humble, and collaborative team player.
Advanced degree in data science, analytics, economics, statistics or similar quantitative field.
Candidates must be located within the continental United States.

Benefits

Comp & perks

Competitive salary based on experience, 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.