E-3 Visa Data Science Manager Jobs
Data Science Manager roles qualify as E-3 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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How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.
Joining on the ground floor of this startup team, you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!
Responsibilities
- Manage and scale a high performing team of data scientists
- Coach and mentor data scientists of varying experiences to ensure their continued growth
- Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment
- Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
- Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
- Identify what matters most and prioritize ruthlessly
Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
- 3+ years of experience directly managing data scientists or product analysts
- Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques
- Experience using data to inform product and business decisions that led to measurable outcomes
- Exceptional verbal and written communication skills
Preferred Qualifications
- Experience in startups or building 0→1 products
- Expertise in using data to inform AI/ML product development
- Background in SaaS product
Compensation
- US Zone 1: $233,800 — $316,300 USD
- US Zone 2: $210,400 — $284,600 USD
- US Zone 3: $187,000 — $253,000 USD
Role Description
How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.
Joining on the ground floor of this startup team, you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!
Responsibilities
- Manage and scale a high performing team of data scientists
- Coach and mentor data scientists of varying experiences to ensure their continued growth
- Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment
- Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
- Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
- Identify what matters most and prioritize ruthlessly
Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
- 3+ years of experience directly managing data scientists or product analysts
- Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques
- Experience using data to inform product and business decisions that led to measurable outcomes
- Exceptional verbal and written communication skills
Preferred Qualifications
- Experience in startups or building 0→1 products
- Expertise in using data to inform AI/ML product development
- Background in SaaS product
Compensation
- US Zone 1: $233,800 — $316,300 USD
- US Zone 2: $210,400 — $284,600 USD
- US Zone 3: $187,000 — $253,000 USD
See all 1,174+ Data Science Manager jobs
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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.
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Find Data Science Manager JobsData Science Manager E-3 Visa: 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.
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