Data Scientist , Amazon Business

Amazon • Seattle, WA

9h

About The Position

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.

Requirements

• 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data scientist experience
• 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment

Nice To Haves

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Experience implementing algorithms using both toolkits and self-developed code
• Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval

Responsibilities

• Interact with business and software teams to understand their business requirements and operational processes
• Frame business problems into scalable solutions
• Adapt existing and invent new techniques for solutions
• Gather data required for analysis and model building
• Create and track accuracy and performance metrics
• Prototype models by using high-level modeling languages such as R or in software languages such as Python.
• Familiarity with transforming prototypes to production is preferred.
• Create, enhance, and maintain technical documentation

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed