Applied Science Manager — Startups ML & Data Leadership

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Flexible Spending Accounts

Job summary

Amazon Web Services, Inc. in Seattle is seeking an Applied Science Manager to lead a team of applied scientists and analysts, owning the data and ML capabilities behind AWS Startups.

You will balance hands-on technical leadership with people management, setting the technical bar and career development for your team. You will own and prioritize the team's science roadmap, design experiments, and productionize models that deliver measurable impact while collaborating with product, engineering, and

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 or equivalent quantitative field.
• Master’s degree, or PhD and 4+ years of building machine learning models or developing algorithms for business application experience.
• Experience with any programming language such as Python, Java, C++
• Knowledge of machine learning approaches and algorithms

Responsibilities

• Lead, coach, and grow a team of applied scientists, BI 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

Team leadership

Machine learning

Experimentation

Stakeholder communication

Education

Master’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics or equivalent quantitative field

PhD with 4+ years building ML models or developing algorithms for business applications

Tools

Python

Java

C++

Job description

Amazon Web Services, Inc. in Seattle is seeking an Applied Science Manager to lead a team of applied scientists and analysts, owning the data and ML capabilities behind AWS Startups.

You will balance hands-on technical leadership with people management, setting the technical bar and career development for your team. You will own and prioritize the team's science roadmap, design experiments, and productionize models that deliver measurable impact while collaborating with product, engineering, and