Responsibilities

• In this role, you will be a people manager and a technical leader in Econometric research with significant scope, impact, and high visibility.
• You will own developing the next generation of Causal Marketing-Mix-Media (MMM) models combining experimental evidence with observational econometric techniques.
• Your solution will deliver to business leaders accurate and actionable incrementality estimates and recommendations to optimize their marketing portfolio.
• As a successful Science Manager, you can navigate ambiguity, lead problem solving, guide development of new frameworks, and credibly interface between technical teams and business stakeholders.
• You are an innovator who can push the limits on what’s scientifically possible with a razor sharp focus on measurable business impact.
• You will coach and guide scientists in your team across different job families including Economists, Data Scientists and Applied Scientists to grow the team’s talent and scale the impact of your work.
• Lead a team of Economists, Data Scientists and Applied Scientists in designing a measurement system to solve one of the most challenging business problems in marketing measurement.

Requirements

• PhD in economics or equivalent
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
• 5+ Years of experience building large-scale Causal Inference and AI solutions

Preferred

• Experience in applied economic analysis and with big data and machine learning or data science
• Experience building and growing teams of economists or machine learning scientists
• 5+ years of people management experience
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience with scripting language (e.g., Python, Java, or R)
• 5+ years of applied economics or statistics experience

Benefits

• The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. USA, WA, Seattle - 175,100.00 - 236,900.00 USD annually