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Head of Applied Science / Data Science

Attentive· Engineering
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San Francisco, CA$320k - $380kfull-timePosted 3mo ago

About the role

Leadership role overseeing Attentive's applied science / data science team to define vision, develop analytical and ML solutions, and influence product strategy and business outcomes.

Responsibilities

  • Lead, mentor, and grow a team of Applied Scientists / Data Scientists, fostering technical excellence and career development
  • Define and execute the applied data science roadmap in partnership with Product, Engineering, and executive stakeholders
  • Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
  • Establish best practices for experimentation, measurement, forecasting, and decision-making across the organization
  • Translate ambiguous business problems into scalable analytical and machine learning solutions
  • Influence product strategy by identifying opportunities through deep analysis of customer behavior, experimentation, and business performance
  • Partner closely with engineering teams to operationalize models and deploy production-ready solutions
  • Present insights and recommendations to senior leadership and executive stakeholders to influence strategic decisions
  • Build a culture of scientific rigor, operational excellence, and continuous innovation across the data science organization

Qualifications

  • 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

Skills

Required:People leadershipRoadmapping and strategyStatistical modeling & MLExperimentation & A/B testingPythonSQLCross-functional collaboration

Benefits

  • perks and benefits, from health & wellness to equity, to help you bring your best self to work
Last updated Sep 17, 2026. Interested? Apply on the company site.

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