Applied Science Manager: ML & Data for Startups

Socket.dev; Seattle (WA); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

Sign‑on bonus

RSUs

Job summary

Amazon's AWS Startups team is seeking an Applied Science Manager to lead a team of applied scientists and analysts building the data and machine learning capabilities behind AWS Startups. You will own the science roadmap end-to-end, from data foundations to productionized models and surfaces that deliver insights to startup-focused teams.

You will balance hands-on technical leadership with people management, setting the technical bar for your team and developing their careers while partnering

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.
• 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, 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 escalating risks with clear mitigation plans.

Skills

ML management

Team leadership

Python

Java

C++

ML algorithms

Education

Master's or PhD in quantitative field

4+ years ML model experience

Tools

Python

Java

C++

Job description

Amazon's AWS Startups team is seeking an Applied Science Manager to lead a team of applied scientists and analysts building the data and machine learning capabilities behind AWS Startups. You will own the science roadmap end-to-end, from data foundations to productionized models and surfaces that deliver insights to startup-focused teams.

You will balance hands-on technical leadership with people management, setting the technical bar for your team and developing their careers while partnering