Sr Data Scientist, Kuiper Global Pricing Strategy

Amazon; Redmond (WA); On-site; USD 143,000 - 248,000; Full time

Job summary

An innovative firm is seeking a Senior Data Scientist to join its Global Pricing Consumer team. This role involves hands-on statistical analysis, predictive modeling, and machine learning implementation to enhance broadband access globally. Candidates should possess strong analytical skills, a solid understanding of statistics, and experience in data querying and visualization tools. This position offers a chance to work on impactful projects that address the digital divide, collaborating with cross-functional teams to develop scalable solutions and contribute to the company's intellectual property. Join a dynamic environment where your contributions will shape the future of connectivity.

Benefits

Medical Benefits

401(k) Plan

Employee Discounts

Equity Options

Flexible Work Hours

Qualifications

• 5+ years of experience with data querying and scripting languages.
• Strong understanding of machine learning algorithms and statistical analysis.

Responsibilities

• Develop ML models to measure seller behavior impact.
• Collaborate with product and engineering teams for model integration.

Skills

SQL

Python

Statistical Models

Data Visualization

Machine Learning

Data Analysis

Education

Bachelor's in Statistics

Master's in Data Science

Tools

AWS QuickSight

Tableau

R

SAS

Job description

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.

Kuiper's Global Pricing Consumer team is looking for a Senior Data Scientist to work hands on from concept to delivery on statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & Machine learning algorithm as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems to build models to help solve complex problems in the areas of sales forecasting, customer segmentation, what if simulations and demand forecasting.



Key job responsibilities
• Develop ML models to measure long term impact of seller behaviors
• Collaborate with product and engineering teams both within and outside of the Kuiper team to launch models and develop insights.
• Use optimization, statistical, machine learning and analytical techniques to create scalable solutions for business problems.
• Design, development and evaluation of highly innovative models for forecast, optimization and experimentation.
• Research, experiment and implement novel approaches.
• Work closely with other scientists in the team and across teams.
• Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.
• Use the best practices in science: data integrity, design, test, and implementation and documentation.
• Contribute to Amazon's Intellectual Property through patents and internal and external publications

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.


About the team
The Kuiper Worldwide Consumer organization is responsible for Kuiper's consumer business strategy, launch, and P&L worldwide.

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
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

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
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

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.