Senior Data Scientist, IPC Simulation

Amazon; New York (NY); On-site; USD 143,000 - 248,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where you'll be at the forefront of optimizing one of the largest supply chain systems globally. This role involves leveraging advanced data analytics to predict inventory flows and enhance operational efficiency. Work within a dynamic team, utilizing cutting-edge tools to drive innovation and improve customer satisfaction. Your insights will directly influence how millions of items are managed and delivered, making a tangible impact on the customer experience. Embrace the challenge and be part of a culture that values inclusivity and excellence.

Benefits

Medical benefits

Equity options

Sign-on bonuses

Flexible work hours

Employee discounts

Qualifications

• 6+ years of experience in data science with a focus on data extraction and analysis.
• Master's degree in statistics, data science, or a related field required.

Responsibilities

• Drive innovation in supply chain optimization through data analysis and modeling.
• Collaborate with engineers and scientists to enhance data-driven decision-making.

Skills

Data extraction

Statistical modeling

Data querying (SQL)

Scripting (Python)

Data visualization (AWS QuickSight)

Education

Master's degree in quantitative field

Bachelor's degree with 8+ years experience

Tools

AWS QuickSight

Tableau

R Shiny

R

SAS

Matlab

Job description

Job ID: 2927986 | Amazon.com Services LLC

Are you looking for a challenge? Imagine being part of a team that owns one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on Amazon.com worldwide. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day.
Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery, and minimize package frustration. The Supply Chain Optimization Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. Within SCOT, the IPC Simulation team is responsible for designing and executing the simulations and experiments that measure the impact of SCOT initiatives, as well as predicting inventory flows for labor planning.
We are looking for data scientists to drive innovation in SCOT by pushing IPC Simulation systems further upstream in the innovation process, developing new techniques and analytics for both experimentation and prediction use cases, and applying existing models to our problem space and beyond. As an Amazon Data Scientist, your work will impact on how we serve our customers so that they get the right product at the right time. In our team, you will be working in one of the world's largest data warehouse environments. You need to be a sophisticated user of data querying tools and advanced quantitative and modeling techniques, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication to drive change, as your work will be visible up to the highest business leaders in SCOT. You will perform deep dives across various system inputs/outputs and connect to key performance indicators through observational and simulation data, and detect anomalies to identify problems in our systems. Much of the job will require close collaboration with software development engineers, other scientists, and business teams to innovate for and solve problems of the future.

BASIC QUALIFICATIONS

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ 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 working with data engineers and business intelligence engineers collaboratively
- A solid portfolio of internal and external science publications.

PREFERRED QUALIFICATIONS

- 5+ 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
- Experience documenting modeling for technical and business leaders
- Experience working with scientists, economists, software developers, or product managers

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.

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.

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