E-3 Visa Data Science Engineer Jobs
Data Science Engineer roles in machine learning, pipeline architecture, and predictive modeling qualify as E-3 visa specialty occupations when the position requires a bachelor's degree or higher in a directly related field. Australian nationals can secure sponsorship without competing in a lottery, making the E-3 one of the most direct paths into U.S. data science teams.
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Get Access To All JobsAI Data Science Engineer III
Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.
This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.
Recruiting for this role ends on August 30, 2026.
Work You'll Do:
As an AI Data Science Engineer III, you will work directly with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.
Key Responsibilities:
- Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
- Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
- Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
- Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
- Support business development efforts including proposals, client presentations, and thought leadership content.
- Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
- Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.
Required Qualifications:
- Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
- 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
- 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
- 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
- 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
- 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
- Ability to travel 0-25%, on average, based on client and project needs.
- Limited immigration sponsorship may be available
Preferred Qualifications:
- Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
- Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
- AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
- Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
- Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
- Proficiency in Python or R for statistical modeling and data wrangling.
- Strong communication skills with the ability to convey complex analytical insights to diverse audiences.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
AI Data Science Engineer III
Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.
This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.
Recruiting for this role ends on August 30, 2026.
Work You'll Do:
As an AI Data Science Engineer III, you will work directly with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.
Key Responsibilities:
- Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
- Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
- Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
- Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
- Support business development efforts including proposals, client presentations, and thought leadership content.
- Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
- Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.
Required Qualifications:
- Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
- 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
- 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
- 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
- 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
- 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
- Ability to travel 0-25%, on average, based on client and project needs.
- Limited immigration sponsorship may be available
Preferred Qualifications:
- Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
- Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
- AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
- Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
- Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
- Proficiency in Python or R for statistical modeling and data wrangling.
- Strong communication skills with the ability to convey complex analytical insights to diverse audiences.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See all 5,278+ E-3 Visa Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Science Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Science Engineer
Translate your Australian degree for U.S. employers
A three-year Australian bachelor's in computer science or statistics is accepted as equivalent to a U.S. four-year degree under E-3 rules. Prepare a one-page credential summary that maps your qualification to the specialty occupation requirement your target role lists.
Filter job listings by LCA filing history
Search DOL disclosure data to confirm a company has filed Labor Condition Applications for data science titles before applying. Employers with recent LCA filings already understand the E-3 process, which shortens your time from offer to visa appointment significantly.
Flag your E-3 eligibility early in outreach
Many U.S. hiring managers conflate E-3 sponsorship with the H-1B lottery and assume it's off the table. State upfront that you're an Australian citizen eligible for E-3, which requires no lottery and can be processed before your start date.
Request an LCA for your specific job duties
The LCA your employer files with DOL must reflect your actual job title and responsibilities, not a generic data engineer template. Mismatched duty descriptions are a common cause of consular questions, so review the LCA before your employer certifies it.
Use Migrate Mate's E-3 filing service for end-to-end processing
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork from certification through consulate preparation. This removes the coordination burden from your employer and reduces the risk of documentation errors that delay your start date.
Prepare for specialty occupation questions at the consulate
Consular officers sometimes scrutinize data science roles where job ads list a degree as preferred rather than required. Bring a copy of the job description, your degree transcript, and a brief written explanation of how your qualifications directly support the role's technical requirements.
E-3 Visa Data Science Engineer: Frequently Asked Questions
How do I find Data Science Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces Data Science Engineer roles at U.S. employers who have demonstrated E-3 or LCA filing activity, so you're not cold-applying to companies unfamiliar with Australian visa sponsorship. Filter by role, location, and industry to narrow your shortlist before reaching out.
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 Engineer role qualify as an E-3 specialty occupation?
Yes, provided the position genuinely requires at least a bachelor's degree in a directly related field such as computer science, statistics, or data engineering. Roles that list a degree as preferred rather than required can create complications at the consulate. Review the job description carefully and confirm the requirement is stated as mandatory before your employer files the LCA.
How does the E-3 compare to the H-1B for Data Science Engineer roles?
The E-3 has no annual lottery, so you can apply any time of year and start as soon as your visa is issued. The H-1B cap is 85,000 registrations per year with a competitive lottery, meaning selection is not guaranteed. For Australian nationals in data science, the E-3 is a faster and more predictable path to U.S. employment, with the same two-year renewable status.
Can I change employers or projects after starting on an E-3?
You can change employers, but your new company must file a new LCA and you'll need to attend a fresh consular appointment or apply for a change of status before starting work with them. Your E-3 is tied to the specific employer named on the LCA, not to a job category, so any employer change restarts the documentation process from the LCA stage.