Amazon Business Intelligence Engineer-II UTR BI Team 

United States, Washington, Bellevue 

80432563

Key job responsibilities
As a Senior Applied Scientist on this team, you will:
* Conduct hands-on data analysis, build large-scale machine-learning models and pipelines.
* Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production
* Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management
* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
* Provide technical leadership, research new machine learning approaches to drive continued scientific innovation
* Perform hands-on analysis and modeling of enormous data sets to develop insights that optimize ads traffic throughput, without impacting the Advertiser goals.
* Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
* Research new and innovative machine learning approaches.
* Recruit Applied Scientists to the team and provide mentorship.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- You have broad experience in Ad Tech systems and bring you understanding of the Ads ecosystem to hit the road running on day one.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.