About the job
We are 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 the data foundation that unifies signals about founders, startups, and their products, through a portfolio of machine learning models, to the surfaces that put insights in the hands of the teams and products that serve startups. You will balance hands-on technical leadership with people management, setting the technical bar for your team while developing their careers.
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.
Qualifications
Minimum
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 several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
Experience in one of the following programming languages: Java, Python, Ruby, Node.js, C#, or C
Preferred
Experience building machine learning models or developing algorithms for business application
Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience in delivering results managing a business intelligence or analytics team, including employee development and performance management
Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda
Experience communicating results to senior leadership, or experience using complex financial models, KPIs, and data analysis to inform strategic business decisions and influence cross-functional stakeholders, with proven business impact (e.g., financial savings, operational improvements, or customer benefits)
Experience hiring, developing, and managing high-performing technical teams