Data Science Lead Jobs in Bellevue, WA
Data Science Lead jobs in Bellevue are concentrated in the Bellevue Downtown core, the Bel-Red corridor, and the Spring District, where technology, cloud computing, and financial services employers run large analytics and machine learning teams. Employers hiring right now include Amazon, ZS, and Meta. See the openings below and apply to the ones that match your experience.
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Showing 5 of 40+ Data Science Lead jobs
DESCRIPTION
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
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
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
DESCRIPTION
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
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
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
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Find Data Science Lead JobsData Science Lead Job Market in Bellevue
Who's Hiring
- Amazon27
- ZS3
- Meta3
- Chewy3
- ZS Associates3
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Retail
- E-Commerce & Online Marketplaces
Data Science Lead Jobs in Bellevue: Frequently Asked Questions
How do I get a data science lead job in Bellevue?
The strongest path into a data science lead role in Bellevue is through the city's dominant technology and cloud infrastructure sector, where employers in the Bellevue Downtown core and the Spring District regularly hire experienced data scientists ready to step into leadership. Candidates who combine hands-on modeling experience with a demonstrated ability to mentor junior data scientists and own end-to-end project delivery stand out in this market.
Which companies hire data science leads in Bellevue?
Employers hiring data science leads in Bellevue right now include Amazon, ZS, and Meta, based on current listings on Migrate Mate as of September 2026. Bellevue's employer mix leans heavily toward large technology firms and enterprise software companies, alongside a growing cluster of fintech and healthcare analytics organizations in the greater Eastside corridor.
Are there remote data science lead jobs in Bellevue?
Yes, data science lead work is well suited to remote and hybrid arrangements given its analytical and collaborative nature. About 100% of data science lead openings tied to Bellevue are remote or hybrid as of September 2026, reflecting the tech-forward culture of Eastside employers. The portions of the role most commonly done remotely in Bellevue are model development, stakeholder reporting, and cross-team project coordination.
How can I get a data science lead job in Bellevue with little or no experience?
The most realistic entry path in Bellevue is to join a mid-size technology or fintech company in the Bel-Red or Spring District as a senior data scientist, build a record of mentoring peers, and move into a lead designation from within. Bellevue employers in cloud platforms and enterprise analytics frequently promote from individual contributor roles, and contributing to internal tooling or cross-functional machine learning projects accelerates that progression.
Which industries hire the most data science leads in Bellevue?
The sectors hiring the most data science leads in Bellevue are Technology & Software, Consulting & Professional Services, and Retail, based on current listings on Migrate Mate as of September 2026. Bellevue's concentration of cloud computing headquarters, retail technology operations, and Eastside financial services firms creates consistent, year-round demand for data science leadership across those industries.
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