Data Scientist — Fleet Optimization & Planning

Amazon; Nashville (TN); On-site; USD 151,200 - 204,600; Full time

Benefits offered by this job

Health insurance

Restricted stock units (RSUs)

Paid time off

Parental leave

401(k) matching

Job summary

Amazon is seeking a Data Scientist for the GFP Fleet Planning team in Nashville to build models for vehicle allocation and optimize fleet capacity. The role focuses on creating linear programs and ML models to support multiple programs with data-driven recommendations and scalable pipelines.

You will collaborate with planning, procurement, and deployment teams to test, validate, and communicate model impact to senior leadership.

Qualifications

• 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 operations research, applied mathematics, theoretical computer science, or equivalent, or a Associate's degree or above and experience investigating the feasibility of applying scientific principles and concepts to business problems and products

Responsibilities

• Build models and automation for planners for generating vehicle allocation plans
• Partner with program teams to test and measure success of implemented model
• Lead reviews with senior leadership, deep dive model outputs and explain implications of model recommendations.

Skills

SQL

Python

R

SAS

Matlab

Education

Master's degree in operations research / applied mathematics

Tools

AWS QuickSight

Tableau

R Shiny

Data pipelines

Job description

Description

Amazon Global Fleet and Products (GFP) organization is responsible for fleet programs and capacity. The Fleet Planning team is looking for a Data Scientist to drive the most efficient use of fleet.

Description

Amazon Global Fleet and Products (GFP) organization is responsible for fleet programs and capacity. The Fleet Planning team is looking for a Data Scientist to drive the most efficient use of fleet.

Amazon Middle and Last Mile fleet planning is a complex resource allocation problem. The goal of fleet allocation planning is to optimize the size and mix of fleet allocated to various programs through. Changes in routes, network, exiting DSPs and new DSP onboarding create continuous need for re-allocation of fleet to maintain an efficient network capacity. This requires allocation to adhere to various operational limits (repair network, EV range, Station Charging capability) and also match route’s cube need to vehicles capacity. As a Data Scientist on the Fleet Planning team (GFP), you will be responsible for building new science models (linear programs, statistical and ML models) and enhancing existing models for changing business needs. You would work with program managers in planning, procurement, redeployment, deployment, remarketing, variable fleet and infrastructure programs to build models that would support the requirements of all programs in a coherent plan.

Key job responsibilities

• Build models and automation for planners for generating vehicle allocation plans
• Partner with program teams to test and measure success of implemented model
• Lead reviews with senior leadership, deep dive model outputs and explain implications of model recommendations.
  
  

Basic Qualifications

• 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 operations research, applied mathematics, theoretical computer science, or equivalent, or a Associate's degree or above and experience investigating the feasibility of applying scientific principles and concepts to business problems and products
  
  

Preferred Qualifications

• 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
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TN, Nashville - 151,200.00 - 204,600.00 USD annually

USA, VA, Arlington - 159,200.00 - 215,300.00 USD annually

USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually


Company - Amazon.com Services LLC

Job ID: A10416995