E-3 Visa Data Science Lead Jobs
Data Science Lead roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in statistics, computer science, or a related field. Australian professionals can secure two-year renewable E-3 status with no lottery, making this one of the most direct paths to leading U.S. data teams.
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About Team
The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other data analysts to drive product impact. You will be working on exciting and challenging projects, and convert the insights into real changes, for both new initiatives and scaled products. You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience. As a Data Scientist, you will be working on designing and monitoring core metrics, identifying the root causes for metric movements through deep dive into the models. The role will cover a wide range of model-driven solutions to deliver superior business outcomes through research and analyses. In particular, this role will leverage the causal structure of user behavior, identify trends and opportunities for user growth and great ecosystem, and guide the product team to make best decisions.
Responsibilities
- Leverage data to solve challenging business problems from full-spectrum of product and business lines, using analytical and statistical approaches.
- Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth-related decisions.
- Initiate model-driven analysis to provide deep insights into various products. Catch the common rule of problems and establish the inter-product analytic paradigm.
- Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise.
- Design, run and analyze A/B experiments to inform and execute the product strategy, and ultimately improve the product and support business decisions.
Qualifications
Minimum Qualifications
- Master’s degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics).
- 5+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning), and experience in user level modeling.
- Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.
- Proficiency in SQL, Python/R.
Preferred Qualifications
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a diversified environment.
- Passion for the Internet industry and data analysis.
- Self-starter with the ability of acquiring an in-depth understanding of the relation between data and user experience/product growth.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $179200 - $374400 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Responsibilities
About Team
The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other data analysts to drive product impact. You will be working on exciting and challenging projects, and convert the insights into real changes, for both new initiatives and scaled products. You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience. As a Data Scientist, you will be working on designing and monitoring core metrics, identifying the root causes for metric movements through deep dive into the models. The role will cover a wide range of model-driven solutions to deliver superior business outcomes through research and analyses. In particular, this role will leverage the causal structure of user behavior, identify trends and opportunities for user growth and great ecosystem, and guide the product team to make best decisions.
Responsibilities
- Leverage data to solve challenging business problems from full-spectrum of product and business lines, using analytical and statistical approaches.
- Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth-related decisions.
- Initiate model-driven analysis to provide deep insights into various products. Catch the common rule of problems and establish the inter-product analytic paradigm.
- Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise.
- Design, run and analyze A/B experiments to inform and execute the product strategy, and ultimately improve the product and support business decisions.
Qualifications
Minimum Qualifications
- Master’s degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics).
- 5+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning), and experience in user level modeling.
- Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.
- Proficiency in SQL, Python/R.
Preferred Qualifications
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a diversified environment.
- Passion for the Internet industry and data analysis.
- Self-starter with the ability of acquiring an in-depth understanding of the relation between data and user experience/product growth.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $179200 - $374400 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
See all 144+ E-3 Visa Data Science Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Science Lead Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Data Science Lead
Frame your degree for specialty occupation
U.S. consular officers assess whether your Australian degree directly supports the Data Science Lead role. A three-year Australian bachelor's in statistics or computer science is generally accepted as equivalent to a U.S. four-year degree, but document the equivalency explicitly in your application package.
Target employers with active LCA filing history
Search the DOL's FLAG portal for companies that have recently filed Labor Condition Applications for data science roles. Employers with LCA history already understand the E-3 visa process, which shortens the sponsorship conversation significantly compared to first-time sponsors.
Address the specialty occupation standard early
Many hiring managers assume senior data roles are too generalist to qualify as specialty occupations. Lead with the fact that Data Science Lead positions require a specific technical degree, which clears the USCIS specialty occupation threshold and keeps sponsorship conversations moving forward.
Get the LCA certified before your consulate appointment
Your employer must file and receive DOL certification of the LCA before you can attend your E-3 visa interview. Coordinate this timeline with your hiring team early so a delayed LCA doesn't push back your start date. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end.
Prepare for nonimmigrant intent questions at interview
Unlike an H-1B visa, the E-3 is a nonimmigrant visa, so consular officers may probe your intent to return to Australia. Have clear, specific answers about ties to Australia ready, even if you plan to renew your E-3 indefinitely through ongoing employment.
Search verified E-3 sponsoring employers through Migrate Mate
Generic job searches won't filter for E-3 sponsorship willingness. Migrate Mate surfaces employers who actively sponsor E-3 visas for data roles, saving you from spending weeks on applications with companies that won't support Australian nationals.
E-3 Visa Data Science Lead: Frequently Asked Questions
How do I find Data Science Lead jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters for employers with active E-3 sponsorship history in data and analytics roles, so you're not guessing which companies will support Australian nationals. Searching broadly and hoping a recruiter raises the E-3 option rarely works at the lead level, where sponsorship decisions are made earlier in the hiring process.
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 Lead role qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as statistics, computer science, data science, or mathematics. Roles that accept any bachelor's degree regardless of field are harder to qualify. The job description should explicitly state a degree requirement tied to the technical nature of the position.
How does the E-3 compare to the H-1B for Data Science Lead roles?
The E-3 has no annual lottery and no cap on available visas, so you can apply year-round when you have a job offer, not just during a narrow April window. H-1B selection is random and the odds depend on overall registration volume. For Australian nationals, the E-3 is a faster, more predictable path to the same senior data leadership roles.
Can I switch employers on an E-3 while working as a Data Science Lead?
Yes, but the process starts fresh with the new employer. Your current E-3 is tied to your existing job offer and LCA, so your new employer must file a new LCA and you'll typically need to attend a new consulate appointment. There's no formal portability rule like the H-1B's 180-day AC21 protection, so plan the transition timeline carefully with your new team.