Senior Data Scientist, Alexa Customer Journeys
4 months ago
You will be working with machine learning, Large Language Model (LLM) and other generative technologies. You will be working with our interdisciplinary team of Data Scientists, Software Engineers and Product Managers to design customer-facing solutions with Alexa. You will take a central role in defining our experimental roadmap, sourcing training data, authoring annotation criteria and building automated benchmarks to continue to make Alexa an expert in itself.
Key job responsibilities
As a Senior Data Scientist on this team, you will:
- Be the technical leader in machine learning; lead efforts within this team and across other teams.
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase customer engagement and monetization.
- Drive end-to-end machine learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with product managers and engineers to assist in productionizing your models.
- Run experiments, gather data, and perform statistical analysis.
- Recruit scientists to the team and provide mentorship.
About the team
The Alexa Customer Journeys team builds products and technology that simplifies customers lives. Our products are used by millions of customer, across Amazon devices, WW. Our teams invent on behalf of our customers and have a ton of fun along the way
BASIC QUALIFICATIONS
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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