Senior data scientist role requiring expertise in scientific methods, scripting languages, SQL/Hive, business acumen, and leadership skills.

• Quantify: what does winning look like? How do we think about balancing infrastructure spend and business/product growth?
• Measure: are we on track? What dashboards, forecast models, analyses do we need to understand: are we on track to hit our infrastructure goals? Why or why not?
• Analyze: how do we win? What analyses can we perform to uncover opportunities to improve our strategy?
• Lead and up-level the team. As the most senior data scientist on the team, you will help define the strategic roadmap and priorities for the team, guide the team in execution, and up-level the data rigor and culture of the organization.
• Collaborate closely with partners in Engineering, Finance, and Technical Program Management (TPM) teams across the company.

• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Expertise in at least one scripting language (ideally Python/R)
• Proficiency in SQL/Hive
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Experience leading key technical projects and substantially influencing the scope and output of others