Head of Applied Science / Data Science

Attentive

. Lead, mentor, and grow a team of Applied Scientists / Data Scientists .

Posted 10/26/2026full-timeSan Francisco • California • United StatesLead💰 $320,000 - $380,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in leading data science teams and driving machine learning solutions, with a strong focus on statistical modeling, experimentation, and data-driven decision-making. Proven ability to translate complex business challenges into actionable insights and scalable analytical frameworks.

Highest-signal resume keywords

Data Science LeadershipMachine Learning SolutionsStatistical ModelingPython ProficiencySQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningPredictive ModelingCausal InferenceExperimentation FrameworksData AnalysisLarge-Scale DatasetsAnalytical SolutionsData-Driven StorytellingForecasting

Soft Skills

Excellent CommunicationInfluencing StakeholdersTeam MentoringCross-Functional CollaborationOperational Excellence

Certifications & Qualifications

Master’s DegreePh.D.

Industry Keywords

Applied Data ScienceCustomer Behavior AnalysisBusiness Performance AnalysisProduct ImprovementContinuous Innovation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead, mentor, and grow a team of Applied Scientists / Data Scientists
Define and execute the applied data science roadmap with Product, Engineering, and executive stakeholders
Drive statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies
Establish best practices for experimentation, measurement, forecasting, and decision-making
Translate ambiguous business problems into scalable analytical and machine learning solutions
Identify product and business opportunities through analysis of customer behavior, experimentation, and business performance
Partner with engineering teams to operationalize models and deploy production-ready solutions
Present insights and recommendations to senior leadership and executive stakeholders
Build a culture of scientific rigor, operational excellence, and continuous innovation

Requirements

What you’ll need

Master’s or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or a related quantitative field; Bachelor’s degree with equivalent industry experience also considered
8+ years of experience in Data Science, Machine Learning, Analytics, or related disciplines
3+ years of experience managing and developing high-performing data science teams
Deep expertise in experimentation, causal inference, statistical modeling, predictive modeling, and machine learning
Experience partnering closely with Product and Engineering organizations to deliver data-driven product improvements
Strong proficiency in Python and SQL with experience working on large-scale datasets
Excellent communication skills with the ability to influence executive stakeholders through data-driven storytelling
Demonstrated success leading cross-functional initiatives from ideation through production

Benefits

Comp & perks

Equity
Health and wellness benefits
Competitive perks and benefits
Employee resource groups through AWAKE
Reasonable accommodations for candidates with disabilities