E-3 Visa Data Science Director Jobs
Data Science Director roles qualify as E-3 specialty occupations, requiring a bachelor's degree or higher in a quantitative field. Australian nationals can secure E-3 visa sponsorship without competing in the H-1B lottery, with no annual cap limiting availability and two-year renewals tied to continued employment.
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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 Director Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Science Director Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Data Science Director
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree in statistics, computer science, or a related field is generally accepted as equivalent to a U.S. four-year degree for E-3 visa specialty occupation purposes. Have a credential evaluation ready before interviews begin.
Target employers with prior LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify companies that have previously certified LCAs for data science roles. Prior LCA activity signals that the employer understands the E-3 process and won't stall at the sponsorship conversation.
Clarify director-level scope to satisfy specialty occupation
E-3 requires the role to theoretically and practically require a degree in a specific specialty. For Data Science Director positions, ensure the job description explicitly requires a quantitative degree, not just management experience, so the DOL certifies the LCA without complications.
Raise E-3 sponsorship early in offer negotiations
Many U.S. employers conflate E-3 with H-1B and assume a costly lottery process. Clarifying that the E-3 has no lottery, no cap, and requires only an LCA and consulate appointment removes the most common objection before it becomes a dealbreaker.
Use Migrate Mate's E-3 filing service for the LCA and consulate prep
Once you have a job offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This avoids the coordination errors that typically delay director-level filings where job duties span multiple teams or cost centers.
Account for consulate appointment timing in your start date
After your LCA is certified, you still need a Sydney, Melbourne, or Perth consulate appointment before entering the U.S. Build at least four to six weeks between offer acceptance and your proposed start date so appointment availability doesn't create a breach of your employment contract.
E-3 Visa Data Science Director: Frequently Asked Questions
How do I find Data Science Director jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. It filters for employers who understand the E-3 process, so you're not spending time on applications where the hiring team has never heard of the visa. Director-level data science roles appear most frequently in tech, finance, and healthcare sectors.
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.
Is a Data Science Director role considered a specialty occupation for E-3 purposes?
Yes, provided the position requires a bachelor's degree or higher in a specific quantitative discipline such as statistics, computer science, mathematics, or data science. The job description must make that degree requirement explicit, not merely preferred. Roles framed around general management without a specific degree requirement can face LCA certification pushback from the DOL.
How does the E-3 visa compare to H-1B for a Data Science Director role?
The E-3 is available only to Australian nationals, but that exclusivity is an advantage: there's no lottery, no annual cap, and no registration fee. H-1B requires surviving a randomised lottery with roughly a 25 percent selection rate. For a director-level hire, an employer can file your E-3 LCA and proceed directly to a consulate appointment rather than waiting up to a year for an H-1B start date.
Can I change employers or roles after starting on an E-3?
Yes, but each new employer must file a fresh LCA and you'll typically need a new visa stamp if your role or employer changes materially. If you're already in the U.S., a change of employer doesn't require you to leave the country, but you must not begin work for the new employer until the new LCA is certified and your status is properly updated.