Research Scientist, Modeling and Optimization (MOP)

Amazon • Bellevue, WA

3d

About The Position

A Research Scientist in the Modeling and Optimization (MOP) team
- provides analytical decision support to Amazon planning teams via applying
advanced mathematical and statistical techniques.
- collaborates effectively with Amazon internal business customers, and is their
trusted partner
- is proactive and autonomous in discovering and resolving business pain-points
within a given scope
- is able to identify a suitable level of sophistication in resolving the
different business needs
- is confident in leveraging existing solutions to new problems where
appropriate and is independent in designing and implementing new solutions where
needed
- is aware of the limitations of their proposed solutions and is proactive in
communicating them to the business, and advances the application of sciences
towards Amazon business problems by bringing new methods, ideas, and practices
to the team and scientific community.

- Your will be developing model-based optimization, simulation, and/or
predictive tools to identify and evaluate opportunities to improve customer
experience, network speed, cost, and efficiency of capital investment.
- You will quantify the improvements resulting from the application of these
tools and you will evaluate the trade-offs between potentially competing
objectives.
- You will develop good communication skills and ability to speak at a level
appropriate for the audience, will collaborate effectively with fellow
scientists, software development engineers, and product managers, and will
deliver business value in a close partnership with many stakeholders from
operations, finance, IT, and business leadership.

- At the Modeling and Optimization (MOP) team, we use mathematical optimization,
algorithm design, statistics, and machine learning to improve decision-making
capabilities across WW Operations and Amazon Logistics.
- We focus on transportation topology, labor and resource planning for
fulfillment facilities, routing science, visualization research, data science
and development, and process optimization.
- We create models to simulate, optimize, and control the fulfillment network
with the objective of reducing cost while improving speed and reliability.
- We support multiple business lanes, therefore maintain a comprehensive and
objective view, coordinating solutions across organizational lines where
possible.

Requirements

• PhD, or Master's degree and 4+ years of quantitative field research experience
• Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
• Experience analyzing both experimental and observational data sets

Nice To Haves

• Knowledge of R, MATLAB, Python or similar scripting language
• Experience with agile development
• Experience building web based dashboards using common frameworks

Responsibilities

• provides analytical decision support to Amazon planning teams via applying advanced mathematical and statistical techniques.
• collaborates effectively with Amazon internal business customers, and is their trusted partner
• is proactive and autonomous in discovering and resolving business pain-points within a given scope
• is able to identify a suitable level of sophistication in resolving the different business needs
• is confident in leveraging existing solutions to new problems where appropriate and is independent in designing and implementing new solutions where needed
• is aware of the limitations of their proposed solutions and is proactive in communicating them to the business, and advances the application of sciences towards Amazon business problems by bringing new methods, ideas, and practices to the team and scientific community.
• developing model-based optimization, simulation, and/or predictive tools to identify and evaluate opportunities to improve customer experience, network speed, cost, and efficiency of capital investment.
• quantify the improvements resulting from the application of these tools and you will evaluate the trade-offs between potentially competing objectives.
• develop good communication skills and ability to speak at a level appropriate for the audience, will collaborate effectively with fellow scientists, software development engineers, and product managers, and will deliver business value in a close partnership with many stakeholders from operations, finance, IT, and business leadership.

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: Ph.D. or professional degree