Amazon Data Scientist II WW Installments 

United Kingdom, England, London 

421334896

Key job responsibilities
This role will be responsible for:
• Developing machine learning models and analytical solutions for the global Installments Competitive Pricing team
• Apply expertise in machine learning to develop large-scale 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 project plan from a scientific perspective on product launches including identifying potential risks, key milestones, and paths to mitigate risks.
• Own key inputs to reports consumed by VPs and Directors across Amazon.
• 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.

- 3+ years of relevant professional experience working with data and applied analytics.
- MS in data science, applied mathematics, economics, operational research, statistics, engineering or a related technical discipline.
- Experience with at least one statistical programming language such as Python, Julia, or R.
- Proficiency in model development, model validation and model implementation for large-scale applications.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Ability to convey mathematical results to non-science stakeholders.
- Excellent communication (verbal/written) and data presentation skills and demonstrated ability to successfully partner with business and technical teams.
- Experience building data products incrementally and integrating and managing datasets from multiple sources
- Ability to deal with ambiguity and competing objectives in a fast-paced environment.

- PhD in data science, applied mathematics, economics, operational research, statistics, engineering or a related technical discipline.
- 5+ years of industry experience applying machine learning models in a business context.
- Expertise on a broad set of ML approaches and techniques including ensemble learning, deep learning, and non-parametric methods.
- Ability to work effectively within an interdisciplinary team of Data Scientists, Economists, BIEs, Data Engineers, and Product Managers.
- Experience with AWS, cloud computing.
- Ability to develop analytics plans for data modeling processes.
- Experience in payment products, recommendation engines, and risk modeling.
- Significant peer reviewed scientific contributions in relevant field.