H-1B Visa Data Science Engineer Jobs
Data Science Engineer roles sit squarely within H-1B visa specialty occupation requirements, combining statistical modeling, machine learning, and software engineering under a single job title. Most sponsors file in the April lottery window, though cap-exempt employers at universities and nonprofits hire year-round. Your degree field and job duties must align for the LCA to hold.
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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.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Science Engineer
Align your degree to the role
USCIS scrutinizes whether your degree field directly relates to data science engineering duties. A degree in statistics, computer science, or applied mathematics strengthens your specialty occupation case. Unrelated degrees require detailed documentation showing how coursework maps to the role.
Check the LCA before accepting an offer
Your employer files a Labor Condition Application with DOL before submitting the I-129 petition. Verify the certified LCA lists the correct job title, worksite, and wage level so your H-1B petition matches the actual role you'll perform.
Target cap-exempt employers for year-round hiring
Universities, nonprofit research institutions, and government-affiliated organizations are exempt from the H-1B cap and annual lottery. Data science engineering roles at these employers can be sponsored any time of year, not only after the April registration window.
Use Migrate Mate to find active H-1B sponsors
Filter your job search by employers with verified H-1B LCA filing history for data science roles. Migrate Mate surfaces DOL disclosure data by occupation so you can target companies that have sponsored similar positions, not just those with general sponsorship policies.
Benchmark your wage against the OFLC prevailing level
DOL sets four wage levels for each SOC code and metro area. Data science engineering roles typically file at Level II or III. Use the OFLC Wage Search to confirm your offered salary meets or exceeds the prevailing wage for your specific location before the LCA is submitted.
H-1B Visa Data Science Engineer: Frequently Asked Questions
Does a Data Science Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, statistics, or data engineering. USCIS looks at whether a theoretical and practical application of a body of specialized knowledge is required. Job descriptions that mix generic software duties with data science responsibilities can trigger a Request for Evidence, so your employer's job description should clearly tie the role's core functions to a specific degree field.
What SOC code is typically used for Data Science Engineer H-1B petitions?
Employers most commonly file under SOC 15-2051 (Data Scientists) or 15-1243 (Database Architects), depending on how the role is defined. Some filings use 15-1252 (Software Developers) when the engineering component is dominant. The SOC code determines the prevailing wage level, so it directly affects the salary your employer must certify on the LCA. You can look up the occupation description and typical requirements on O*NET.
How do I find employers that actively sponsor H-1B visas for Data Science Engineer roles?
Search Migrate Mate to filter for employers with verified H-1B LCA filing history specifically for data science and engineering job titles. DOL publishes quarterly LCA disclosure data, and Migrate Mate maps that data to searchable employer profiles so you can see which companies have sponsored comparable roles rather than relying on self-reported sponsorship policies.
Can I change employers on H-1B if I get a better data science offer mid-status?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as they file a new I-129 petition on your behalf, as long as your current H-1B has been approved for at least 180 days and the new role is in the same or a similar occupational classification. Your new employer must file before your current H-1B expires to maintain continuous status.
Does working remotely for an H-1B-sponsored data science role create any compliance issues?
Yes. If you work from a location not listed on the certified LCA, your employer may need to file an amended I-129 petition and post the LCA notice at the new worksite. Remote work across multiple states or cities is a known compliance risk because each worksite's prevailing wage must be certified separately. Confirm with your employer's immigration counsel before changing your primary work location.