Sr. Data Scientist, FireTV Business - Seattle, United States - Amazon Services LLC

Description

The Amazon Fire TV Team is looking for a passionate and solution oriented Data Scientist to help redefine and build new, science-driven experiences for customers enjoying Fire TV across the world.

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.

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.

• Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
• Create experiments and prototype implementations of new learning algorithms and prediction techniques
• Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems
• Use machine learning best practices to ensure a high standard of quality for all of the team deliverables
• Proficiency in model development, model validation and model implementation for largescale applications
• Ability to convey mathematical results to nonscience 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 nonexperts

• 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