Senior Data Scientist, Last Mile Science

Description

Amazon Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazons and other shippers volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. We also own scalable solutions to reduce risks, improve safety, enhance personalized experiences of our delivery associates and partners. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon.

We are looking for a passionate individual with strong machine learning and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. As a Senior Data Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms.

Key job responsibilities

Key job responsibilities

Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity.

Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.

Run A/B experiments, gather data, and perform statistical analysis.

Measure and estimate risks, constructively critique peer research, and align research focuses with the Amazons strategic needs.

Research new and innovative machine learning approaches. Help coach/mentor junior scientists in the team.

Willingness to publish research at internal and external top scientific venues. Write and pursue IP submissions.

Basic Qualifications

– 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

– Masters degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelors degree and 8 years of professional or military experience

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.