Manager, Science

Found in: Jooble US O C2 - 2 weeks ago

Seattle WA, United States Amazon Full time

Applied Science Manager, Campaign Measurement & Optimization
com Services LLC
The Campaign Measurement & Optimization (CMO) organization is looking for a Applied Science Manager interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine marketing measurement at Amazon and its subsidiaries.
The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. As a team lead, you will be responsible for developing / coaching the talent, guiding the team on design and development of the cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists, economists and software developers in the business.
In this role, you will be a technical leader in applied science research with significant scope, impact, and high visibility. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and measurement science models, real-time inference, and cross-channel orchestration. As a successful team lead, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. 3+ years of scientists or machine learning engineers management experience
- Demonstrated proficiency in deep learning models, experience building production level causal inference models
- Expert in more than one more major programming / scripting languages (Python, Scala, PySpark or similar)
- Experience coaching and reviewing work of junior ML Scientists, making great hiring decisions.
Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Team building and science recruiting experience
- Strong doc writing skills
- Strong fundamentals in problem solving, algorithm design and complexity analysis
- 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. For individuals with disabilities who would like to request an accommodation, please visit
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 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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