Applied Science Manager – ML & Data for Startups

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

Job summary

Amazon Science seeks an Applied Science Manager to lead a team of applied scientists and analysts building data and ML capabilities behind AWS Startups. You will own the science roadmap end-to-end, from data foundations to production-ready models and insights surfaces for startup-focused products.

You will balance hands-on technical leadership with people management, setting a high technical bar while nurturing career growth and collaboration with product, engineering, and go-to-market teams.

Qualifications

• 4+ years of applied research experience.
• 3+ years of scientists or machine learning engineers management experience.
• PhD, or Master’s degree and 4+ years of applied research experience.
• Experience in machine learning, statistics, deep learning, natural language processing, or information retrieval.
• Experience in Java, Python, Ruby, Node.js, C#, or C.

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 across data foundation, model development, and the delivery of insights into products and internal tools.
• Set technical direction for the team's machine learning models and data assets, balancing rapid experimentation with production quality, cost, and reliability.
• Scope scientific projects, design and evaluate experiments, and ensure models are productionized and deliver measurable business impact.
• Establish measurement, evaluation, and operational-excellence standards so model quality and impact are quantified and defensible.
• Partner with product, engineering, design, and go-to-market teams to translate science into products and repeatable, scalable outcomes.
• Communicate strategy, results, and trade-offs clearly to technical and non-technical leaders through written narratives and business reviews.
• Foster a culture of scientific rigor, rapid experimentation, and operational excellence, and proactively identify and escalate risks with clear mitigation plans.

Skills

Machine learning

Statistics

Deep learning

Natural language processing

Information retrieval

Education

PhD or Master’s degree with 4+ years of applied research

Tools

ElasticSearch

Big Data EMR/EC2/Glue/Lambda

Job description

Amazon Science seeks an Applied Science Manager to lead a team of applied scientists and analysts building data and ML capabilities behind AWS Startups. You will own the science roadmap end-to-end, from data foundations to production-ready models and insights surfaces for startup-focused products.

You will balance hands-on technical leadership with people management, setting a high technical bar while nurturing career growth and collaboration with product, engineering, and go-to-market teams.