E-3 Visa Data Science Manager Jobs
Data Science Manager roles qualify as E-3 visa specialty occupations, requiring a bachelor's degree in a quantitative field and a U.S. employer willing to file a Labor Condition Application. Australian professionals can secure E-3 sponsorship without competing in the H-1B lottery, with two-year renewable status and no annual cap to worry about.
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Get Access To All JobsINTRODUCTION
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Rigorous evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s ambitious goals. In this role, you will lead a data science team specializing in evaluating the Waymo Driver’s ability to comply with rules of the road. Road rule-related behaviors are some of the most challenging to identify, and areas of work include understanding human baseline performance, partnering with ML engineers to improve detection capabilities, and delivering critical insight about the Driver’s current capabilities and opportunities for improvement.
In this hybrid role you will report to the DS Lead for Driving Quality.
ROLE AND RESPONSIBILITIES
You will:
- Define and uphold a high bar for measurement rigor. Ensure we can confidently rely on the evaluation signals informing deployment and scaling decisions. Identify and work to resolve any gaps where current evaluation signals are not scaling with Waymo’s business or providing the necessary actionability for stakeholders.
- Develop and adapt our evaluation framework to accommodate road rules across multiple countries.
- Collaborate with leads in product, engineering, and systems engineering to align to unlock key Waymo deployment milestones. Be an opinionated partner informing roadmaps for engineering work to improve our measurement capabilities.
- Measure performance of the Waymo driver in new territories and hardware platforms, providing input on Waymo’s readiness to scale in new markets. Communicate these findings to senior stakeholders.
- Be an active technical contributor on the team, as well as a technical lead and/or manager to several data scientists. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Champion data science excellence and provide constructive technical feedback within the team and across Waymo.
BASIC QUALIFICATIONS
You have:
- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
- Either a PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems.
- Experience as both a technical lead and a people manager.
- Experience working in highly cross-functional teams and championing data-driven culture.
- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
- Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL.
PREFERRED QUALIFICATIONS
We prefer:
- PhD in a quantitative field
- A demonstrated track record of independently driving data science projects to deliver business value
- Experience solving problems related to Autonomous Driving or Ride Hailing.
- Experience with large-scale evaluation frameworks for software development.
- Experience in adjacent relevant areas like Advanced Machine Learning, Traffic Modeling, Safety Evaluation or Prediction.
COMPENSATION
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
- Salary Range: $298,000—$368,000 USD
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES
JOB TYPE
FULL-TIME
WORK ARRANGEMENT
HYBRID
INTRODUCTION
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Rigorous evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s ambitious goals. In this role, you will lead a data science team specializing in evaluating the Waymo Driver’s ability to comply with rules of the road. Road rule-related behaviors are some of the most challenging to identify, and areas of work include understanding human baseline performance, partnering with ML engineers to improve detection capabilities, and delivering critical insight about the Driver’s current capabilities and opportunities for improvement.
In this hybrid role you will report to the DS Lead for Driving Quality.
ROLE AND RESPONSIBILITIES
You will:
- Define and uphold a high bar for measurement rigor. Ensure we can confidently rely on the evaluation signals informing deployment and scaling decisions. Identify and work to resolve any gaps where current evaluation signals are not scaling with Waymo’s business or providing the necessary actionability for stakeholders.
- Develop and adapt our evaluation framework to accommodate road rules across multiple countries.
- Collaborate with leads in product, engineering, and systems engineering to align to unlock key Waymo deployment milestones. Be an opinionated partner informing roadmaps for engineering work to improve our measurement capabilities.
- Measure performance of the Waymo driver in new territories and hardware platforms, providing input on Waymo’s readiness to scale in new markets. Communicate these findings to senior stakeholders.
- Be an active technical contributor on the team, as well as a technical lead and/or manager to several data scientists. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Champion data science excellence and provide constructive technical feedback within the team and across Waymo.
BASIC QUALIFICATIONS
You have:
- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
- Either a PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems.
- Experience as both a technical lead and a people manager.
- Experience working in highly cross-functional teams and championing data-driven culture.
- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
- Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL.
PREFERRED QUALIFICATIONS
We prefer:
- PhD in a quantitative field
- A demonstrated track record of independently driving data science projects to deliver business value
- Experience solving problems related to Autonomous Driving or Ride Hailing.
- Experience with large-scale evaluation frameworks for software development.
- Experience in adjacent relevant areas like Advanced Machine Learning, Traffic Modeling, Safety Evaluation or Prediction.
COMPENSATION
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
- Salary Range: $298,000—$368,000 USD
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES
JOB TYPE
FULL-TIME
WORK ARRANGEMENT
HYBRID
See all 1,196+ E-3 Visa Data Science Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Science Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Science Manager
Frame your credentials for U.S. standards
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes, but document the equivalency explicitly in your CV and any credential evaluation to prevent LCA or consular issues.
Target employers with LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify companies that have previously filed LCAs for data science or analytics roles. Prior LCA activity signals a hiring team that understands the E-3 process.
Address specialty occupation early in interviews
Data Science Manager roles are strong E-3 candidates, but some employers conflate them with general management. Confirm your role requires a degree specifically in statistics, computer science, or a related quantitative field before offer negotiations begin.
Get the prevailing wage level right before signing
DOL requires the LCA to certify a wage meeting the prevailing rate for the role and location. Review the OFLC wage library for your SOC code and metro area so you can flag any offer that falls below the required wage before your employer files.
Use Migrate Mate's E-3 filing service for end-to-end support
Migrate Mate's E-3 filing service handles your LCA, visa paperwork, and consulate preparation in one place. This matters for Data Science Manager candidates where specialty occupation documentation needs to be tight from the start.
Prepare for consular intent questions specific to your level
Senior individual contributors applying as managers face closer nonimmigrant intent scrutiny. Bring a detailed offer letter specifying team size, reporting structure, and technical responsibilities to your consulate appointment to substantiate the managerial classification.
E-3 Visa Data Science Manager: Frequently Asked Questions
How do I find Data Science Manager jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. Rather than filtering generic job listings, Migrate Mate surfaces Data Science Manager positions at employers with a history of E-3 and LCA filings, saving you from approaching companies that won't sponsor the visa.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Science Manager role qualify as an E-3 specialty occupation?
Yes, provided the role genuinely requires a bachelor's degree or higher in a specific quantitative or technical field such as statistics, data science, or computer science. The specialty occupation test looks at the job duties, not the title. Roles where any bachelor's degree satisfies the requirement, regardless of field, can face challenges at the LCA or consular stage.
How does the E-3 compare to the H-1B for Data Science Manager positions?
The E-3 has no annual lottery, so you can apply any time of year once you have an offer and a certified LCA. H-1B cap-subject petitions are entered into a lottery each March, with selection rates well below 50% in recent years. For Australian data science professionals, the E-3 is a direct path that avoids the lottery entirely, with the same employer-sponsored structure and two-year renewable terms.
Can I change employers as a Data Science Manager on an E-3?
Yes, but the process restarts with each employer. Your new employer must file a fresh LCA with DOL and you'll need to attend a new consulate appointment for an updated E-3 visa stamp before reentering the U.S. or, in some cases, complete a change of status if you're already inside the country. There's no portability mechanism equivalent to what exists under some other visa categories.