Overview In this role, you lead a team of applied scientists and analysts to build the data and ML capabilities powering AWS Startups. You own the science roadmap, from data foundations to production ML models, and deliver insights that guide startup-focused products. You will balance hands-on technical leadership with people management to elevate the team and its impact. The opportunity combines scale, experimentation, and collaboration with cross-functional partners to advance AI-enabled guidance for founders.
Compensation / Benefits- health insurance
- 401(k) matching
- paid time off
- parental leave
- RSUs
- sign-on bonus or equity components
Responsibilities- Lead and develop a team of applied scientists, BI engineers, and analysts; shape hiring and set high technical standards
- Own the science roadmap and direct ML models and data asset development, balancing rapid experimentation with reliability and cost
- Define scope for scientific projects, design experiments, and productionize models with measurable impact and clear quality metrics
- Advance ML systems for recommendations, startup segmentation and targeting, and fraud detection to surface opportunities and protect the business
- Partner with product, engineering, design, and GTM teams to translate science into scalable products and clearly communicate trade-offs
- Foster scientific rigor and rapid experimentation, proactively identifying risks with mitigation plans
Key requirements- 2+ years of people management experience for scientists or ML engineers
- Master's degree in a quantitative field (relevant list) or equivalent
- Master's degree or PhD with 4+ years in building ML models or business algorithms
- Experience with programming languages such as Python, Java, or C++
- Knowledge of ML approaches and algorithms
- leadership and people management
- strategic thinking
- communication with both technical and non-technical stakeholders
- machine learning model development
- productionizing ML systems
- recommendation and ranking systems
