Data Scientist I, International Machine Learning

Requires a Master’s degree in CS, statistics or a related field.
- Typically requires 2+years of relevant analysis work and domain-area work experience.
- Expert in the management, manipulation, and analysis of very large datasets.
- Proficient user of specialized data manipulation and analysis tools including: R, Python, SAS, SQL, etc.

Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.

Job summary

Do you feel the challenge and the adrenaline kick when a huge data-set stares you in the face and you know that somewhere inside are hidden very powerful business insights that can fundamentally alter the way top business leaders think and act? Do you enjoy presenting strong data backed insights to business leaders; insights that can topple their long held beliefs and compel them to change their direction completely? If yes, then you are the one we are looking for.

We are looking to invite passionate leaders, with expertise in generate power business insights from very large datasets, on a journey where the primary aim would be to enable needle moving business impacts through cutting edge statistical analysis. We are looking for leaders who can envision the design and development of analytical infrastructure which can support strategic and tactical decision-making. Those who join this high visibility team would have to navigate through significant ambiguity in defining business problems and converting them to analytical problems.

This role requires additional exposure and experience to Machine Learning.

Key job responsibilities
- Use machine learning and analytical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
- Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
- Research and implement novel machine learning and statistical approaches
- Work closely with software engineering teams to drive real-time model implementations and new feature creations
- Work closely with business owners and operations staff to optimize various business operations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Mentor other scientists and engineers in the use of ML techniques

About the team

The International Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's international businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users.

The International Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's International businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users.
- 3+ years experience projects involving ML and/or DS
- Experience in Machine Learning, Statistics, Data Science, or Neural Networks.
- Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
- Good knowledge of scientific programming in scripting languages like Python/R/Matlab.