Job Information
Amazon Applied Scientist II, AWS Marketing Measurement in Austin, Texas
Description
The Amazon Web Services (AWS) Marketing Science team seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems. As part of this team, you will collaborate with talented peers to create scalable solutions to measure and optimize AWS events, advertising, and customer engagements to optimize investments, and inform decisions across marketing and sales. You will work on high-impact, high-visibility products, with your work improving the experience of AWS leads and customers.
The ideal candidate possesses solid understanding of machine learning fundamentals, has experience writing high quality software in production setting, and experience or interest in causal inference and causal ML. The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possesses the drive to tackle complex challenges, swiftly delivering impactful solutions while iterating on science and user feedback, develops strong working relationships and thrives in a collaborative team environment.
Key job responsibilities
Analyze, understand, and model customer behavior based on large scale data
Lead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimization
Design, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelines
Build and deploy automated model training and evaluation pipelines
Research and implement novel deep learning, reinforcement learning, and/or machine learning based algorithms to deliver insights on customer behavior
Influence long-term science initiatives and mentor other scientists across AWS
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business application
- Experience in professional software development
- Advanced proficiency with statistical modeling, experimental design, and machine learning algorithms
- Patents or publications at top-tier peer-reviewed conferences or journals
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.