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Senior Manager, Data Science & Engineering
Posted on 3/17/2022
Menlo Park, CA, USA
Experience Level
Desired Skills
Data Science
  • 5+ years of leadership experience, hiring and growing teams, preferably data science, machine learning and software engineering
  • Masters degree in a quantitative field (e.g. Computer Science, Statistics, Machine Learning) or relevant experience
  • Experience partnering with product and engineering teams to influence strategic directions with data and models and in developing cross-functional relationships across the business
  • Strong understanding of experimentation in & out production
  • We aim to be daring, but humble: We look for bold ideas - regardless of structure and stage - and help them scale by pairing engineers with subject matter experts to build tools that accelerate the pace of social progress
  • We want to learn fast, but build for the long-term: We want to iterate fast and help bring new solutions to the table, but we also realize that important breakthroughs often take decades, or even centuries
  • Stay close to the real problems: We engage directly in the communities we serve because no one understands our society's challenges like those who live them every day
  • Inspiring leadership: Create an environment where you attract industry leading talent, manage and grow a stunning team. Build organizational capacity by hiring managers to support growth of a new product and growth of new innovations
  • Strategic partnership: Ability to connect people, systems and data. Deeply understand our EdTech products and near & long term strategies. Build bridges across the organization and bring that context back to your team and infuse it into their work
  • Technical expertise: Guide the multi-functional technical team towards even improved states of their technical abilities
  • Ability to project manage: Bring connection to a large number of areas your team will own by putting standards, prioritization and strategic roadmaps
Chan Zuckerberg Initiative
Company Overview
Leveraging technology, community-driven solutions, and collaboration to accelerate progress in Science, Education, and Justice & Opportunity