Senior Data Scientist, Pricing, Amazon Shipping, Amazon Shipping

Amazon • Bellevue, WA

23h

About The Position

Amazon shipping is seeking a Senior Data Scientist with strong pricing and
machine learning skills to work in an embedded team, partnering closely with
commercial, product and tech. This person will be responsible for developing
demand prediction models for Amazon shipping’s spot pricing system. As a Senior
Data Scientist, you will be part of a science team responsible for improving
price discovery across Amazon shipping, measuring the impact of model
implementation, and defining a roadmap for improvements and expansion of the
models into new unique use cases. This person will be collaborating closely with
business and software teams to research, innovate, and solve high impact
economics problems facing the worldwide Amazon shipping business.

Requirements

• 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
• Experience with statistical models e.g. multinomial logistic regression

Nice To Haves

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team

Responsibilities

• Combine ML methodologies with fundamental economics principles to create new pricing algorithms.
• Automate price exploration through automated experimentation methodologies, for example using multi-armed bandit strategies.
• Partner with other scientists to dynamically predict prices to maximize capacity utilization.
• Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders.
• Educate non-technical business leaders on complex modeling concepts, and explain modeling results, implications, and performance in an accessible manner.
• Independently identify and pursue new opportunities to leverage economic insights
• Opportunity to expand into other domains such as causal analytics, optimization and simulation.

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