E-3 Visa Senior Data Science Engineer Jobs
Senior Data Science Engineer roles in machine learning infrastructure, model deployment, and large-scale analytics pipelines qualify as E-3 visa specialty occupations. Australian professionals can secure sponsorship without entering a lottery, and your employer's LCA filing with the DOL is the critical first step before your consulate appointment.
Find E-3 Visa Senior Data Science Engineer JobsOverview
Showing 5 of 144+ Senior Data Science Engineer jobs
See all 144+ Senior Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Data Science Engineer roles.
Get Access To All JobsResponsibilities
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 Senior Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Senior Data Science Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Data Science Engineer
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree in computer science, statistics, or a related field satisfies the E-3 specialty occupation requirement. Get a credential evaluation in writing so your employer's HR team can confirm equivalency without delays.
Target employers with active DOL LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data to identify companies that have filed LCAs for data science titles. Employers already familiar with the LCA process move faster and are less likely to stall at the sponsorship conversation.
Frame your role clearly as a specialty occupation
Job descriptions that list a bachelor's degree as 'preferred' rather than 'required' can complicate your E-3 application. Before accepting an offer, confirm the posting specifies a degree requirement in a specific field like computer science, mathematics, or engineering.
Use Migrate Mate's E-3 filing service for the LCA and paperwork
The LCA must be certified by the DOL before you can book your consulate appointment. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so the process moves in the right sequence without errors that delay your start date.
Negotiate your offer around the prevailing wage requirement
The DOL prevailing wage for your specific SOC code and work location sets the floor your employer must certify on the LCA. Confirm the offered salary meets or exceeds that threshold before the employer submits the LCA to avoid a rejection and restart.
Prepare your portfolio for the consulate specialty occupation question
Consular officers sometimes probe whether senior data science engineer roles genuinely require a specific degree field. Bring project documentation, a degree-to-role statement from your employer, and evidence of specialized technical responsibilities to support your case.
E-3 Visa Senior Data Science Engineer: Frequently Asked Questions
How do I find Senior Data Science Engineer jobs with E-3 sponsorship?
Use Migrate Mate to search for Senior Data Science Engineer roles filtered by E-3 visa sponsorship. Most generic job boards don't filter by visa type, so you waste time applying to employers who won't sponsor. Migrate Mate surfaces roles from employers with documented sponsorship activity, so your applications go to companies already set up to file the LCA and support your 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 Senior Data Science Engineer role qualify as an E-3 specialty occupation?
Yes, provided the role requires a bachelor's degree or higher in a specific field such as computer science, statistics, mathematics, or a related discipline. Roles focused on model development, ML infrastructure, or data pipeline architecture consistently meet the specialty occupation definition. Roles where any technical degree qualifies regardless of field carry more risk at the consulate and may invite additional scrutiny.
How does the E-3 compare to the H-1B for Senior Data Science Engineers?
The E-3 is available exclusively to Australian citizens and has no lottery, no annual cap, and no random selection process. H-1B visa petitions for the same role require registration in a lottery with roughly a one-in-four selection rate for most applicants. For Australians, the E-3 means a direct path from job offer to consulate appointment, typically within a few weeks, without the uncertainty of waiting on a March lottery result.
Can I switch employers on an E-3 as a Senior Data Science Engineer?
Yes, but you need to restart the process with your new employer. The new employer must file a fresh LCA with the DOL, and you'll need a new E-3 visa stamp if yours was issued for your previous employer. You can begin work for the new employer as soon as the LCA is certified and you have a valid visa, so coordinating your start date around the LCA timeline matters.