Data Science Manager, PXT Central Science jobs in United States
cer-icon
Apply on Employer Site
company-logo

Amazon · 1 day ago

Data Science Manager, PXT Central Science

positionSeattle, WA
timeFull-time
remoteOnsite
senioritySenior Level
money$142K/yr - $272K/yr
date5+ years exp

Amazon is seeking a Data Science Manager to lead a team of economists, scientists, and data engineers in solving complex scientific problems that impact business and customer experience. The role involves building predictive models, managing team performance, and driving innovations that deliver measurable results for Amazon customers.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
check
H1B Sponsor Likelynote

Responsibilities

Independently manage and develop a diverse science team, creating an environment that enables consistent delivery and innovation; Build and maintain a high-performing team that can operate effectively and autonomously; Drive strategic growth opportunities for team members, providing paths to demonstrate higher-level scope, impact, and leadership; Establish clear performance metrics and audit mechanisms to track and communicate team progress; Foster a team culture focused on bringing research to production and delivering customer value
Partner with stakeholders and leadership to define and execute the scientific vision for your team; Lead the development of structural and predictive models, leveraging emerging technologies and novel features; Drive the implementation of data science workflows and simulation frameworks; Bridge the gap between science, technology, and business requirements; Leverage the broader Amazon scientific community to enhance team capabilities and knowledge sharing
Define and maintain team structure, strategic direction, and owned technologies; Establish processes that enable consistent delivery and quality of scientific artifacts; Drive reasonable schedules and adjust priorities to ensure optimal outcomes; Create and implement audit mechanisms to track team performance against goals; Remove roadblocks and optimize team productivity
Create well-written documents to effectively communicate with technical and non-technical audiences; Influence science and analytics practices across the organization; Build strong partnerships with stakeholders across different business units; Present complex scientific findings to senior leadership; Drive adoption of best practices and innovative solutions

Qualification

Statistical modelingMachine learningData engineeringPythonAWS technologiesData warehousingETL pipelinesLeadershipStrategic planningCommunicationTeam management

Required

5+ years of building quantitative solutions as a scientist or science manager experience
2+ years of scientists or machine learning engineers management experience
5+ years of applying statistical models for large-scale application and building automated analytical systems experience
PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Knowledge of Python or R or other scripting language
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience in Database like NoSQL, or experience in SQL Server/MySQL and experience in software development
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with data modeling, warehousing and building ETL pipelines

Preferred

Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience operating large data warehouses
Experience hiring, developing, and managing high-performing technical teams

Benefits

Equity
Sign-on payments
Medical
Financial
Other benefits

Company

Amazon

twittertwittertwitter
Glassdoor3.7
company-logo
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
dateFounded in 1994
location
Seattle, Washington, USA
people-size10001+ employees
web-link
https://amazon.com

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

leader-logo
Douglas J. Herrington
CEO, Worldwide Amazon Stores
linkedin
leader-logo
Werner Vogels
VP & CTO
linkedin

Recent News

Tubefilter
Dubai continues its creator-wooing efforts with a splashy Amazon partnership
2026-01-14
WebProNews
CEOs Shift to Advocating Employee Vacations Amid Burnout Crisis
2026-01-14
WebProNews
FTC Secures $2.5B Amazon Settlement for Deceptive Prime Tactics
2026-01-14
Company data provided by crunchbase