Amazon Sr Data Scientist FireTV Business & Marketing 

United States, Washington, Seattle 

833762692

As a key member of the team, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance the customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment across engineer, product, marketing and BI. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.
An ideal candidate will be an expert in the areas of machine learning and statistics who will have expertise in applying theoretical models in an applied environment. The candidate will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and reinforcement learning. We deal with HUGE volume of data, including clickstream, Alexa, Prime Video, and retail, so challenges will involve dealing with very large data sets and requirements on throughput.
Responsibilities include:
- Create experiments and prototype implementations of new learning algorithms and prediction techniques- Proficiency in model development, model validation and model implementation for large-scale applications- Ability to convey mathematical results to non-science stakeholders. Strength in clarifying and formalizing complex problems- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts

- 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

- 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