Data Science Engineer Jobs in USA with Visa Sponsorship
Data science engineer roles sit squarely in H-1B visa specialty occupation territory, and many employers also support OPT, STEM OPT, and green card sponsorship through PERM. Demand for data science engineers with machine learning and pipeline-building skills keeps sponsorship active across tech, finance, and healthcare. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
ROLE AND RESPONSIBILITIES
The Principal Engineer – Data Science joins the high-visibility Impact Analytics team within Verizon’s Transformation Command Center (TCC). In this role, you will operate as an advanced individual contributor (IC) combining top-tier technical execution with strategic initiative ownership. You will work independently to drive deep-dive data manipulation, advanced statistical modeling, and machine learning solutions, serving as the technical lead on critical analytical projects across the business.
Working across Consumer, Network, and Strategy domains, you will transform massive, complex datasets into production-grade predictive models and actionable strategies that unlock high-impact financial opportunities for executive leadership.
Responsibilities include:
- Hands-On Technical Execution: Independently query, clean, merge, and manipulate massive structured and unstructured datasets across big data systems using SQL and Python.
- Advanced ML & Predictive Modeling: Design, build, validate, and deploy advanced machine learning algorithms (supervised and unsupervised) and robust time series forecasting models to solve complex, ambiguous business problems.
- Initiative & Technical Leadership: Drive high-visibility analytics projects end-to-end—from initial scoping and data extraction to model building, testing, validation, and executive presentation.
- Data Visualization & Insights: Develop intuitive dashboards and visual reporting frameworks (using Matplotlib, Seaborn, Tableau, Grafana, etc.) to translate complex model output into key executive metrics.
- Strategic Stakeholder Partnering: Serve as a consultative technical partner to Consumer, Network, and Strategy teams, translating business challenges into data science workflows and presenting actionable recommendations to leadership.
- Model Rigor & Innovation: Envision and test for corner cases, ensure rigorous model governance and validation, and continuously integrate state-of-the-art AI/ML and forecasting methodologies into the team’s repository.
BASIC QUALIFICATIONS
You are an expert technical practitioner who thrives in an independent, fast-paced environment. You excel at turning ambiguous business problems into structured, production-ready data science solutions without needing step-by-step direction. You bring deep hands-on expertise in coding, statistics, and machine learning, alongside the business acumen required to articulate the commercial impact of your work to senior stakeholders.
You’ll need to have:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, Engineering, or a related quantitative field, or four or more years of work experience.
- Six or more years of relevant experience required, demonstrated through work experience and/or military experience.
- Advanced, independent coding experience in Python and SQL for complex data extraction, feature engineering, and statistical analysis.
- Proven track record building, validating, and deploying Machine Learning models and time series forecasting solutions in enterprise business settings.
- Strong experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Tableau, Grafana).
- Demonstrated ability to independently manage technical project lifecycles, handle complex data pipelines, and present analytical findings to management.
PREFERRED QUALIFICATIONS
Even better if you have one or more of the following:
- Master’s degree or 4+ years of hands-on experience in data science, advanced analytics, or predictive modeling.
- Master’s degree or Ph.D. in a quantitative discipline or an MBA with a strong technical background.
- 5+ years of progressive technical experience in data science, advanced analytics, or quantitative consulting.
- Experience with Big Data frameworks (Spark, Splunk, Hadoop) and cloud analytics platforms.
- Advanced expertise in specialized fields (e.g., Deep Learning, NLP, causal inference, recommendation systems, or advanced time series frameworks like Prophet, ARIMA, LSTM).
- Track record of independently driving cross-functional analytics projects in telecommunications, pricing, sustainability, or customer experience.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.
LOCATION
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
SCHEDULED WEEKLY HOURS
40
EQUAL EMPLOYMENT OPPORTUNITY
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
BENEFITS AND COMPENSATION
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.
INTRODUCTION
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
ROLE AND RESPONSIBILITIES
The Principal Engineer – Data Science joins the high-visibility Impact Analytics team within Verizon’s Transformation Command Center (TCC). In this role, you will operate as an advanced individual contributor (IC) combining top-tier technical execution with strategic initiative ownership. You will work independently to drive deep-dive data manipulation, advanced statistical modeling, and machine learning solutions, serving as the technical lead on critical analytical projects across the business.
Working across Consumer, Network, and Strategy domains, you will transform massive, complex datasets into production-grade predictive models and actionable strategies that unlock high-impact financial opportunities for executive leadership.
Responsibilities include:
- Hands-On Technical Execution: Independently query, clean, merge, and manipulate massive structured and unstructured datasets across big data systems using SQL and Python.
- Advanced ML & Predictive Modeling: Design, build, validate, and deploy advanced machine learning algorithms (supervised and unsupervised) and robust time series forecasting models to solve complex, ambiguous business problems.
- Initiative & Technical Leadership: Drive high-visibility analytics projects end-to-end—from initial scoping and data extraction to model building, testing, validation, and executive presentation.
- Data Visualization & Insights: Develop intuitive dashboards and visual reporting frameworks (using Matplotlib, Seaborn, Tableau, Grafana, etc.) to translate complex model output into key executive metrics.
- Strategic Stakeholder Partnering: Serve as a consultative technical partner to Consumer, Network, and Strategy teams, translating business challenges into data science workflows and presenting actionable recommendations to leadership.
- Model Rigor & Innovation: Envision and test for corner cases, ensure rigorous model governance and validation, and continuously integrate state-of-the-art AI/ML and forecasting methodologies into the team’s repository.
BASIC QUALIFICATIONS
You are an expert technical practitioner who thrives in an independent, fast-paced environment. You excel at turning ambiguous business problems into structured, production-ready data science solutions without needing step-by-step direction. You bring deep hands-on expertise in coding, statistics, and machine learning, alongside the business acumen required to articulate the commercial impact of your work to senior stakeholders.
You’ll need to have:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, Engineering, or a related quantitative field, or four or more years of work experience.
- Six or more years of relevant experience required, demonstrated through work experience and/or military experience.
- Advanced, independent coding experience in Python and SQL for complex data extraction, feature engineering, and statistical analysis.
- Proven track record building, validating, and deploying Machine Learning models and time series forecasting solutions in enterprise business settings.
- Strong experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Tableau, Grafana).
- Demonstrated ability to independently manage technical project lifecycles, handle complex data pipelines, and present analytical findings to management.
PREFERRED QUALIFICATIONS
Even better if you have one or more of the following:
- Master’s degree or 4+ years of hands-on experience in data science, advanced analytics, or predictive modeling.
- Master’s degree or Ph.D. in a quantitative discipline or an MBA with a strong technical background.
- 5+ years of progressive technical experience in data science, advanced analytics, or quantitative consulting.
- Experience with Big Data frameworks (Spark, Splunk, Hadoop) and cloud analytics platforms.
- Advanced expertise in specialized fields (e.g., Deep Learning, NLP, causal inference, recommendation systems, or advanced time series frameworks like Prophet, ARIMA, LSTM).
- Track record of independently driving cross-functional analytics projects in telecommunications, pricing, sustainability, or customer experience.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.
LOCATION
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
SCHEDULED WEEKLY HOURS
40
EQUAL EMPLOYMENT OPPORTUNITY
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
BENEFITS AND COMPENSATION
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.
See all 4,530+ Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Engineer
Frame your degree field precisely
H-1B specialty occupation requires a bachelor's in a directly related field. A degree in computer science, statistics, or applied mathematics maps cleanly. If yours is in a tangential field, gather official course transcripts that show heavy quantitative and programming coursework before applying.
Target STEM OPT employers registered with E-Verify
Your STEM OPT extension requires your employer to be enrolled in E-Verify. Confirm enrollment before accepting an offer. Data science engineer roles at companies outside E-Verify cannot legally employ you on a STEM OPT extension, regardless of their intent to sponsor.
Use OFLC Wage Search to benchmark your offer
LCA prevailing wage for data science engineer roles varies by metro and experience level. Run the OFLC Wage Search using your job's wage level before negotiating. An offer below the prevailing wage fails DOL certification, which blocks your H-1B petition entirely.
Find sponsors through Migrate Mate
Search Migrate Mate's job board to identify employers with verified LCA filing history for data science engineer roles. This tells you which companies have actually filed, not just which ones list sponsorship as a vague possibility in their job postings.
Push for a job title matching your O*NET profile
Your job title and duties must reflect a specialty occupation. Use O*NET to verify that your offered title and task description align with recognized data science or software engineering occupations. A mismatch between title and duties is a common H-1B RFE trigger for this role.
Start PERM conversations early at mid-stage hiring
Many data science engineer positions qualify for EB-2 or EB-3 green card sponsorship through PERM. Raise the green card timeline in your offer negotiation, not after your first H-1B extension. PERM labor certification can take over a year before USCIS even receives the petition.
Frequently Asked Questions
Does a data science engineer role qualify as a specialty occupation for H-1B purposes?
Yes. Data science engineer roles consistently meet the H-1B specialty occupation standard because the work requires a theoretical and practical application of highly specialized knowledge, typically a bachelor's degree or higher in computer science, statistics, data engineering, or a closely related field. USCIS evaluates the actual job duties, so your offer letter and LCA must reflect the technical complexity of the role, not just the title.
Which visa types do data science engineers most commonly use for U.S. work authorization?
F-1 OPT and STEM OPT are common entry points for recent graduates, since the role qualifies under STEM-designated degree programs. H-1B is the primary long-term path, requiring employer sponsorship and subject to an annual cap and selection process. Canadian and Mexican nationals may qualify for TN visa status under the USMCA engineer or mathematician categories. EB-2 and EB-3 green cards are available for longer-term sponsorship through PERM.
How do I find data science engineer jobs where employers are actively sponsoring visas?
Migrate Mate lists employers with verified LCA filing history for data science and engineering roles, so you can focus your search on companies that have actually sponsored candidates rather than those that only mention sponsorship in passing. This cuts down significantly on outreach to employers who aren't set up for the process.
Can a data science engineer self-petition for a green card without employer sponsorship?
In limited cases, yes. An EB-2 National Interest Waiver allows self-petition if you can demonstrate your work is in the national interest and you have exceptional ability or an advanced degree. For most data science engineers, this is a high bar. The more common path is employer-sponsored EB-2 or EB-3 through PERM labor certification, which requires the employer to prove no qualified U.S. workers are available for the position.
Does a three-year bachelor's degree from outside the U.S. satisfy H-1B specialty occupation requirements for data science engineer roles?
It can, but it requires a credential evaluation. USCIS accepts foreign three-year degrees as equivalent to a U.S. four-year bachelor's when a recognized credential evaluation organization confirms equivalency. Degrees from countries where three years is the standard undergraduate program, combined with relevant coursework in computer science, mathematics, or statistics, regularly pass this review. Submit the evaluation with your I-129 petition to avoid an RFE.
What is the prevailing wage requirement for sponsored Data Science Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.