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Manager Data Science H1B Jobs in Seattle, WA (NOW HIRING)

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

In this role, you will build and manage a high-performing team of Data Scientists and BI Engineers while owning the AI technical roadmap for R2L. You will be responsible for delivering data science ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

Sonsoft Inc

Data Science Analytics

Seattle, WA

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales, and Operation ... No OPT-EAD, H1B & TN candidates, please. * Please mention your Visa Status in your email or resume

Chewy

Director, Data Science

Bellevue, WA · On-site

You will lead a team of data scientists building the intelligence layer across the full advertising ... management - orchestrating Chewy's onsite and offsite Ads portfolio for optimal, balanced ...

Chewy

Director, Data Science

Bellevue, WA

You will lead a team of data scientists building the intelligence layer across the full advertising ... management -- orchestrating Chewy's onsite and offsite Ads portfolio for optimal, balanced ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Strong understanding of data strategy, data quality, and data ecosystem management to drive ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Life Science Washington

Data Scientist III

Seattle, WA · On-site

$126.98 - $200.68/hr

Manage data science projects from creation to completion, following established practices for data security, privacy, and compliance. * Communicate results to technical and non-technical audiences ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Partner closely with Product Management, Engineering, Clinical, and Infrastructure teams to ...

Meta

Data Science Director (IC)

Bellevue, WA

$253K/yr

Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers Minimum Qualifications: * Bachelor's degree in ...

TikTok

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242K - $387K/yr

... manage high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space 3. Build and prototype analysis pipelines for the team ...

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All JobsData Science H1B JobsManager Data Science H1B JobsManager Data Science H1B Jobs in Seattle, WA

Manager Data Science H1B information

See Seattle, WA salary details

$35.3K

$110.6K

$195.7K

How much do manager data science h1b jobs pay per year?

As of Aug 21, 2026, the average yearly pay for manager data science h1b in Seattle, WA is $110,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $142,800.00 per year, depending on experience, location, and employer.

What is a Manager Data Science H1B?

A Manager Data Science H1B is a professional who oversees data science teams or projects for a company in the United States while working under an H-1B visa. This role typically involves managing data scientists, coordinating analytics projects, making strategic decisions based on data, and ensuring the delivery of actionable insights. The H-1B visa allows U.S. employers to temporarily employ foreign workers in specialty occupations such as data science management. The manager is responsible for project planning, mentoring team members, and collaborating with other departments to leverage data in business decisions.

What are some common challenges faced by a manager data science in leading cross-functional projects?

A Manager Data Science often encounters challenges such as aligning stakeholders with varying technical backgrounds, ensuring data quality across different sources, and balancing project timelines with evolving business needs. Effective communication is crucial when translating complex analytical findings into actionable insights for non-technical teams. Additionally, managing and mentoring a diverse team of data scientists while fostering collaboration with engineering, product, and business departments is key to driving successful project outcomes.

What are the key skills and qualifications needed to thrive as a manager data science, and why are they important?

To thrive as a Manager Data Science, you need a deep understanding of statistical analysis, machine learning, and data engineering, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with cloud platforms (like AWS or Azure) are commonly required, along with relevant certifications. Outstanding leadership, communication, and project management skills set top candidates apart by enabling them to lead cross-functional teams and translate complex data insights into actionable business strategies. These skills are crucial for driving data-driven decision-making and ensuring the successful delivery of analytics initiatives within an organization.

What is the difference between Manager Data Science H1B vs Data Scientist H1B?

AspectManager Data Science H1BData Scientist H1B
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience in team managementBachelor's or Master's in Data Science, Statistics, or related field; technical skills focus
Work EnvironmentLeads data science teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, supports business decisions
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareCommon in tech firms, consulting, research institutions

The main difference between Manager Data Science H1B and Data Scientist H1B lies in their roles and responsibilities. Managers oversee teams and strategic projects, requiring leadership skills, while Data Scientists focus on technical analysis and modeling. Both roles require strong data skills and relevant education, but the managerial position emphasizes team management and project oversight.

What are the most commonly searched types of Data Science H1B jobs in Seattle, WA?

The most popular types of Data Science H1B jobs in Seattle, WA are:

What are popular job titles related to Manager Data Science H1B jobs in Seattle, WA?

For Manager Data Science H1B jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Manager Data Science H1B jobs in Seattle, WA look for?

The top searched job categories for Manager Data Science H1B jobs in Seattle, WA are:

Manager Data Science H1B jobs near you
Infographic showing various Manager Data Science H1B job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $110,553 per year, or $53.2 per hour.

Sr Manager, Data Science & AI, R2L

Amazon

Bellevue, WA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,105 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes. The R2L Science & AI team is the centralized data science and AI function serving all R2L business verticals.

We drive data informed decision making and build AI-powered products that optimize every stage of R2L's operational pipeline from supply chain planning through last-mile delivery.
We are looking for a customer-focused, solutions-oriented Senior Manager, Data Science to lead and scale the data science function within the R2L organization. In this role, you will build and manage a high-performing team of Data Scientists and BI Engineers while owning the AI technical roadmap for R2L. You will be responsible for delivering data science and AI solutions that drive measurable operational improvements across R2L's end-to-end network including Supply Chain, Operations, Delivery, Operational Excellence, and Finance.
This is a people leadership role with deep technical expectations

You will set the technical vision, hire and develop talent, and partner with senior leaders across R2L and external stakeholders to ensure data science and AI investments are aligned with business priorities and deliver outsized impact.
Key job responsibilities
- Build and manage a team of Data Scientists and BI Engineers
- Define and drive the multi-year vision for Science and AI roadmap for R2L, aligning investments with business priorities to deliver measurable efficiency and customer experience improvements
- Define and execute the Gen AI strategy for R2L, identifying high-impact use cases for LLMs, agentic AI, and automation across operational workflows
- Influence VP and Director-level leaders through data-driven narratives, technical deep dives, and business impact framing
- Educate senior leaders about and advocate for high-quality measurement as an input to data-driven decisions
- Raise the technical bar across the organization through mentorship, artifact reviews, and establishing best practices for experimentation, model development, and deployment
- Stay up-to-date on the latest data science, measurability, AI tools, techniques, and best practices and help evangelize them across the organization
A day in the life
Amazon offers a full range of benefits that support 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:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 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're passionate about this role and want to make an impact on a global scale, please apply!

What Amazon employees say

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Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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