Data Scientist II, Worldwide Design Engineering - Data Science

Amazon; Factoria (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Job summary

Amazon is hiring a Data Scientist II for Worldwide Fulfillment Design and Engineering to lead data-driven decisions shaping the future of the fulfillment network.

You will analyze large-scale operational data, develop predictive models, and collaborate with scientists and engineers to deploy AI-powered solutions that optimize throughput and process design.

Qualifications

• Experience in data extraction, analysis and communication.
• Strong SQL and Python or similar scripting language.
• Background in quantitative fields with advanced degree or equivalent.
• Experience deploying AI products at scale.

Responsibilities

• Analyze, model and interpret data for Amazon warehouse performance.
• Predictive analysis using ML models at scale.
• Translate frontier AI research into production-grade tools for process design.
• Data analysis, modeling, and network flow prediction using Excel, Pivot tables, VBA, Tableau, SQL (Redshift), R, Python.
• Develop data and optimization-based solutions to improve throughput of fulfillment facilities.
• Support process improvement initiatives across operations and engineering.

Skills

Data analysis

SQL

Python

R

Statistical modeling

Machine Learning

Data Visualization

Communication

Education

Master's degree in quantitative field

Bachelor's + 5+ years in quantitative field

Tools

Excel

Pivot tables

VBA

Tableau

SQL (Redshift)

R

Python

Job description

Data Scientist II, Worldwide Design Engineering - Data Science

Job ID: 10521209 | Amazon.com Services LLC

Are you a data enthusiast? Are you a creative big thinker who is passionate about using data and optimization tools to direct decision making and solve complex and large-scale challenges? If so, then this position is for you! We are looking for a motivated individual with strong analytic and communication skills to join the effort in evolving the fulfillment center network of tomorrow.

At Amazon Worldwide Fulfillment Design and Engineering, we are designing the future and if you are in quest of an iterative fast-paced environment, where you can drive innovation through data visualization products, advance analytics and machine learning at scale, this is your opportunity.

In this role, your main focus will be to analyze fulfillment network trends, identify business opportunities, provide project direction, and communicate design and technical requirements within the team and across stakeholder groups. You will own the science vision, lead AI/ML research strategy and roadmap for the org, drive metrics, assist science groups in initial solution design and audit new flow implementations. A successful candidate in this position will have a background in communicating across significant differences, prioritizing competing requests, and quantifying decisions made.

Key job responsibilities

• Analyze, model and interpret data for Amazon warehouse operational performance.
• Predictive analysis using Machine Learning models at scale.
• Partner with other scientists and engineers to translate frontier AI research into production-grade tools for process design developments.
• Data analysis, modeling, network flow prediction using Excel, Pivot tables, VBA, Tableau, SQL (Amazon Redshift), R, Python.
• Innovate and simplify data solutions to standardize and enable automation.
• Support Worldwide Engineering teams by providing necessary data for of process flows and selection of various MHE's.
• Support process improvement initiatives among site operations, engineering, and corporate systems groups by managing data pipelines.
• Develop data and optimization-based solutions to the best-in-class process flow to improve the throughput of the fulfillment facilities.

A day in the life

Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

• 1. Medical, Dental, and Vision Coverage
• 2. Maternity and Parental Leave Options
• 3. Paid Time Off (PTO)
• 4. 401(k) Plan

Basic Qualifications

• 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• 2+ 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, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
• Experience developing, deploying and managing AI products at scale

Preferred Qualifications

• Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
• Knowledge of diverse MHS, industrial mechanical and electrical systems and automation, controls and robotics systems

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, WA, Bellevue - 136,000.00 - 184,000.00 USD annually

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