Applied Science / Data Science Leader

Attentive Attentive · Enterprise · United States · Engineering

Leadership role overseeing an Applied Science / Data Science team focused on using data, experimentation, machine learning, and AI to shape product strategy and accelerate business growth. The role involves leading a team, defining the applied data science vision, developing analytical and ML solutions, and influencing company strategy.

What you'd actually do

  1. Lead, mentor, and grow a team of Applied Scientists / Data Scientists, fostering technical excellence and career development
  2. Define and execute the applied data science roadmap in partnership with Product, Engineering, and executive stakeholders
  3. Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
  4. Establish best practices for experimentation, measurement, forecasting, and decision-making across the organization
  5. Translate ambiguous business problems into scalable analytical and machine learning solutions

Skills

Required

  • Python
  • SQL
  • experimentation
  • causal inference
  • statistical modeling
  • predictive modeling
  • machine learning
  • people management
  • cross-functional influence
  • data-driven storytelling

Nice to have

  • Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or a related quantitative field

What the JD emphasized

  • leadership role overseeing our applied science / data science team
  • lead a team of high-performing data scientists
  • define the vision for applied data science
  • partner with senior leaders to influence company strategy
  • highly visible leadership role that blends people management, technical excellence, and cross-functional influence
  • 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

Other signals

  • AI marketing platform
  • AI-powered personalization engine
  • machine learning solutions
  • customer behavior analysis