Manager, Data Science, Outbound Communications at Amazon Science | Seattle, WA | $175K/yr – $237K/yr

Amazon Science

Manager, Data Science, Outbound Communications

Seattle, WA (On-site)

$175K/yr – $237K/yrSenior Level5+ years expFull time

Posted 2 months ago

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Job Summary

Own outbound analytics, experimentation, and leadership to push personalized inbox optimization and incrementality using AI, with cross-functional delivery and a scalable research-to-product cadence.

Inbox optimization and planning system ownership to drive relevance and timing for customer messages.
Experimentation and measurement across models to prove incrementality and performance at scale.
Propensity modeling and AI-enabled reporting to guide customer progression and engagement with Amazon.

Job Description

Responsibilities

Optimize Outbound's inbox management and planning system to personalize frequency, send-time and relevance bar of our messages to customers.
Design and execute large-scale experiments such as multi-arm elasticity tests or RCTs to measure and improve incrementality/performance of our models.
Drive development of HVA propensity models (opt-out, purchase, etc.) to drive intended behavior of customers to their next stage of shopping and engagement with Amazon.
Drive AI-based transformation in data accuracy and reporting: migrating and enhancing the self-serve analytics capabilities developed by the team, automating WBR preparation, building anomaly detection, etc.
Own financial planning frameworks for outbound performance including QxG/HVE forecasting and ROI measurement for paid channel investments.
Hire, develop, and mentor scientists and BIEs while partnering cross-functionally with engineering, product, marketing, and partner science teams (CBA, P13N, CFV) to productionize solutions at scale.
Create, align and evolve your team’s roadmap by prioritizing across multiple competing priorities using high judgement decisions.

Requirements

5+ years of building quantitative solutions as a scientist or science manager experience
2+ years of scientists or machine learning engineers management experience
5+ years of applying statistical models for large-scale application and building automated analytical systems experience
Master\'s degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Knowledge of Python or R or other scripting language

Preferred

Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

Benefits

comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
Learn more about our benefits at https://amazon.jobs/en/benefits

Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

Founded in 2020

Seattle, Washington, USA

4 employees

www.amazon.science