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Director of Data Science

Abridge · San Francisco, United States

External listingfull-time24 days ago

About The Role

Join Abridge as the Director of Data Science, where you will build and manage a world-class data team, implement a comprehensive data strategy, and drive product strategy through data-driven insights. You will collaborate with cross-functional partners, communicate the data strategy to the executive team, and make critical technical infrastructure decisions for the data organization. This role offers a remote work environment, unlimited PTO, equity for all new employees, and a generous equipment budget for your home office setup.

  • Construire et gérer une équipe de data scientists de classe mondiale, en fournissant des conseils, du mentorat et des normes élevées tout en développant l'équipe.
  • Conduire la stratégie produit grâce à des insights basés sur les données, y compris l'analyse du comportement des utilisateurs et l'expérimentation d'inférence causale.
  • Collaborer avec l'équipe de recherche pour évaluer les modèles et définir les métriques de qualité qui ont un impact clinique.
  • Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
  • 12+ years in data-science or analytics, especially in product-facing roles where you had to drive impact by using data to shape product strategy, goal setting and execution
  • MS or PhD in quantitative field (statistics, mathematics, computer science, physics, or related)
  • A strong leader who is able to help build great teams, drive urgency in execution while ensuring we prioritize appropriately in a rapid growth environment
  • Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion
  • Depth of experience using Python, R, SQL for large-scale analytics
  • Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
  • Experience diving into / shaping Analytics Engineering (recruiting & supporting)
  • Knowledge of healthcare settings, electronic health records (EHR), and healthcare billing

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