Amazon.com Services LLC

Data Science, Science, amazon business

DataScientistII

$136–184k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist II at Amazon.com Services LLC. Skills: Data science, Machine learning, Data analysis, Predictive modeling. Lead research. Lead thought leadership”

Industry & Context.

Data Science, Science, amazon business
Problems you'll solve

Ambiguous problems; Complex problems

What They're Looking For.

Must Have

2+ years of data scientist experience, 3+ years of data querying languages experience, 3+ years of scripting languages experience, 3+ years of statistical/mathematical software experience, 3+ years of machine learning experience, 3+ years of statistical modeling experience, 3+ years of data analysis tools experience, 3+ years of data analysis techniques experience, MS in Statistics or related quantitative field, 2+ years of industry experience, BS + 5 yrs experience

Nice to Have

Familiarity with transforming prototypes to production, Experience in Python, Experience in Perl, Experience in another scripting language, Experience with machine learning data analysis tools, Experience with statistical modeling data analysis tools, Experience with parameters that affect performance

What You'll Do.

Lead thought leadership

Drive insights strategy

Research predictive models

Experiment with predictive models

Analyze predictive models

Research optimization models

Experiment with optimization models

Analyze optimization models

Design detection systems

Implement detection systems

Analyze customer behavior

Leverage data signals

Identify potential abuse

Identify fraudulent activities

Distinguish legitimate business activities

Distinguish suspicious behavior patterns

Interact with business teams

Interact with software teams

Understand business requirements

Understand operational processes

Frame business problems

Transform prototypes to production

How You'll Work.

Team & Collaboration

Cross-functional teams; Diverse teams

Communication Scope

Written communication; Verbal communication

Full Job Description

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. Amazon Business Data Insights and Analytics team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insights strategy for Amazon Business. This role is central in shaping the definition and execution of the long-term strategy for Amazon Business. You will be responsible for researching, experimenting and analyzing predictive and optimization models, designing and implementing advanced detection systems that analyze customer behavior at registration and throughout their journey. You will work on ambiguous and complex business and research science problems with large opportunities. You'll leverage diverse data signals including customer profiles, purchase patterns, and network associations to identify potential abuse and fraudulent activities. You are an analytical individual who is comfortable working with cross-functional teams and systems, working with state-of-the-art machine learning techniques and AWS services to build robust models that can effectively distinguish between legitimate business activities and suspicious behavior patterns You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams. Key jo

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