Amazon Sr Applied Scientist Worldwide Installments Science & Engineering 

United States, Washington, Seattle 

944902684

Key job responsibilities
This role will be responsible for:
• Developing production machine learning models and pipelines for the WW Installments Competitive Pricing team that directly impact customers.
• Apply expertise in machine learning to develop large-scale production systems that are deployed across Amazon businesses.
• Identify business opportunities, define and execute modeling approach, then deliver outcomes to various Amazon businesses with an Amazon-wide perspective for solutions.
• Lead the implementation of production ML from a scientific perspective including identifying potential risks, key milestones, and paths to mitigate risks.
• Identifying new opportunities to influence business strategy and product vision using data science and machine learning.
• Continually improve the WW Installments ML roadmap automating and simplifying whenever possible.
• Coordinate support across engineers, scientists, and stakeholders to deliver ML pipelines, analytics projects, and build proof of concept applications.
• Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy.
A day in the life

- 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.