Applied Science Manager, Startup ML & Data Platform

Amazon Science; Seattle (WA); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Seattle, WA seeks an Applied Science Manager to lead a team of scientists and analysts building data and ML capabilities for AWS Startups. You will own the science roadmap end-to-end, from foundational signals to production models and intuitive surfaces for startup teams.

You will balance hands-on technical leadership with people management, set a high technical bar, and partner across product, engineering, design, and GTM to translate science into scalable products.

Qualifications

• 2+ years of scientists or machine learning engineers management experience.
• Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
• Master's degree, or PhD and 4+ years of building machine learning models or developing algorithms for business application experience.

Responsibilities

• Lead, coach, and grow a team of applied scientists, business intelligence engineers, and business analysts; hire and develop talent and set a high technical bar.
• Own and prioritize the team's science roadmap and set technical direction for its machine learning models and data assets, balancing rapid experimentation with production quality, cost, and reliability.
• Scope scientific projects, design and evaluate experiments, and productionize models that deliver measurable impact, establishing measurement, evaluation, and operational-excellence standards so quality and impact are quantified and defensible.
• Drive the science behind recommendation systems, startup segmentation and targeting, and fraud detection, delivering models that surface relevant opportunities, group and prioritize startups by need and fit, and protect the business from fraud and abuse.
• Partner with product, engineering, design, and go-to-market teams to translate science into scalable products, and communicate strategy, results, and trade-offs clearly to technical and non-technical leaders.
• Foster a culture of scientific rigor and rapid experimentation, and proactively identify and escape risks with clear mitigation plans.

Skills

ML management experience

ML knowledge

Education

Master's degree in engineering/CS

Master's or PhD with 4+ years ML experience

Tools

Python

Java

C++

Job description

Amazon Science in Seattle, WA seeks an Applied Science Manager to lead a team of scientists and analysts building data and ML capabilities for AWS Startups. You will own the science roadmap end-to-end, from foundational signals to production models and intuitive surfaces for startup teams.

You will balance hands-on technical leadership with people management, set a high technical bar, and partner across product, engineering, design, and GTM to translate science into scalable products.