Senior Manager Data Science and Analytics

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At eBay, we're more than a global ecommerce leader where we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers and help us connect people and build communities to create economic opportunity for all.

We are looking for a highly qualified, motivated, and ambitious leader to head our Regulatory Analytics and Data Science teams. This individual will partner with our regulatory product and business teams to distill actionable insights from customer data and partner with cross-functional teams to build policies and experience roadmaps based on these insights.

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• Lead, mentor, and assist in the development of the data science and analytics team. The role will manage a team of high-impact, motivated data scientists.
  
• Collaborate with a cross-functional team of product managers, business owners, and engineering teams across the organization to define metrics, analyze performance, and uncover growth opportunities.
  
• Work closely with partner teams to measure the impact of implemented solutions through A/B tests or causal inference techniques, and derive findings to inform future iterations.
  
• Develop self-service tools, capabilities, and products through AI to help drive decision velocity across the organization.
  
• Leverage strong communication skills and experience to distill and present complex analyses with clear recommendations.
  

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• BS/BA degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, Engineering or other related core sciences (or equivalent).
  
• 8+ years of meaningful professional experience, or 6+ years with a Masters degree or equivalent experience.
  
• Proficiency in Python/R and SQL, with experience in using a variety of BI tools such as Tableau.
  
• Deep understanding of experimentation (A/B testing), statistics, and causal inference.
  
• Strong business acumen with the ability to frame unstructured problems and synthesize insights.
  
• Product mentality with a focus on customer needs; able to productize insights and build scalable analytical solutions that serve diverse partners.
  
• Strong communication, interpersonal, and presentation skills to effectively interact with business partners, stakeholders, and senior leadership.
  
• Ability to interact with senior and executive leadership in both ad-hoc and formal settings.
  

Mid-Senior level

Full-time

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• Engineering and Information Technology
  
• IT Services and IT Consulting
  

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