Amazon
Job ID: 2883176 | Amazon.com Services LLC
Amazon's Global XCM organization (Cross-Category, Cross-Channel Marketing) is looking for a talented Tech Lead Senior Economist who is interested in solving one of the most challenging business problems in marketing measurement and optimization, and developing cutting-edge ML models. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine scalable marketing measurement and optimization.
XCM’s mission is to be the most culturally and contextually aware, creatively breakthrough, and measurably effective marketing organization in the world. In this role, you will be a technical leader in Econometric research with significant scope, impact, and high visibility. You will lead strategic measurement and optimization science initiatives in collaboration with external science teams, and development and deployment of measurement and real-time predictive and optimization science models. As a successful Economist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in causal inference models to solve business problems. You are a hands-on innovator who can contribute to advancing Marketing measurement technology and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide junior scientists in the team to grow the team’s talent and scale the impact of your work.
Key job responsibilities:
Design and implement production-ready causal machine learning models to solve complex measurement and optimization challenges. Partner with cross-functional science teams to drive innovative high-impact initiatives. Collaborate with key stakeholders to develop strategic roadmaps and ensure successful project execution. Mentor junior scientists and establish technical best practices for the team. BASIC QUALIFICATIONS
- PhD in economics or equivalent. PREFERRED QUALIFICATIONS
- Experience in analytics and applied economics. - Experience in developing and executing an analytic vision to solve business-relevant problems. - Experience in building statistical models using R, Python, STATA, or a related software. - Experience in industry, consulting, government or academic research. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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XCM’s mission is to be the most culturally and contextually aware, creatively breakthrough, and measurably effective marketing organization in the world. In this role, you will be a technical leader in Econometric research with significant scope, impact, and high visibility. You will lead strategic measurement and optimization science initiatives in collaboration with external science teams, and development and deployment of measurement and real-time predictive and optimization science models. As a successful Economist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in causal inference models to solve business problems. You are a hands-on innovator who can contribute to advancing Marketing measurement technology and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide junior scientists in the team to grow the team’s talent and scale the impact of your work.
Key job responsibilities:
Design and implement production-ready causal machine learning models to solve complex measurement and optimization challenges. Partner with cross-functional science teams to drive innovative high-impact initiatives. Collaborate with key stakeholders to develop strategic roadmaps and ensure successful project execution. Mentor junior scientists and establish technical best practices for the team. BASIC QUALIFICATIONS
- PhD in economics or equivalent. PREFERRED QUALIFICATIONS
- Experience in analytics and applied economics. - Experience in developing and executing an analytic vision to solve business-relevant problems. - Experience in building statistical models using R, Python, STATA, or a related software. - Experience in industry, consulting, government or academic research. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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