Data Science Engineer Visa Sponsorship Jobs in New Jersey
Data science engineer visa sponsorship jobs in New Jersey are concentrated along the Route 1 corridor and the Newark-Jersey City metro, where financial services firms like Prudential and Johnson Controls, pharma companies like Johnson & Johnson and Merck, and tech-forward employers actively file H-1B visa petitions for roles combining machine learning, data pipeline engineering, and advanced analytics.
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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
Data science is the engine that drives informed decision-making and unlocks the hidden potential within our enterprise data. As a Principal Data Science Engineer, you will join the Verizon Consumer AI & Analytics team. In this role, you won't just process data; you will transform raw information into the strategic intelligence that shapes customer behaviors and market trends for the Verizon Consumer Group.
You will use data and innovation as fuel to propel Verizon beyond the competition. You will architect products and assets that support the Consumer Sales Organization, Sales Planning & Operations, and Consumer Base Marketing by developing and performing complex analyses using big data technologies.
- Develop high-scale systems, applications, and advanced visual dashboards using Big Data technologies.
- Design and refine predictive models to solve complex business questions and improve operational predictability.
- Extract actionable insights from massive datasets to drive revenue and customer retention.
- Guide peers through system usage assessments.
- Lead process improvement initiatives and ensure rigorous data quality standards.
- Apply sophisticated UI/UX design principles to data visualization.
- Stay at the forefront of modeling techniques and emerging industry trends to keep Verizon’s analytics ecosystem "ahead of the game."
BASIC QUALIFICATIONS
- Bachelor’s degree or four or more years of work experience.
- Six or more years of relevant work experience.
- Experience in data management, analysis and visualization.
- Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
- Experience with data modeling using LookML in the Looker platform.
- Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro).
- Experience as a data scientist, analyst, or statistical modeler.
- Experience with programming language SQL.
- Experience in designing, developing and implementing ETL processes.
PREFERRED QUALIFICATIONS
- A master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research.
- A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners.
- Demonstrated knowledge of Retail Channel metrics and data domain principles.
- Experience in visual science / dashboard design principles.
- Experience in applying statistical ideas and methods to data sets to answer business problems.
- Experience with programming languages, like Python, JS, or R.
- Experience with Machine Learning algorithms and tools.
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.
WHERE YOU’LL BE WORKING
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
Data science is the engine that drives informed decision-making and unlocks the hidden potential within our enterprise data. As a Principal Data Science Engineer, you will join the Verizon Consumer AI & Analytics team. In this role, you won't just process data; you will transform raw information into the strategic intelligence that shapes customer behaviors and market trends for the Verizon Consumer Group.
You will use data and innovation as fuel to propel Verizon beyond the competition. You will architect products and assets that support the Consumer Sales Organization, Sales Planning & Operations, and Consumer Base Marketing by developing and performing complex analyses using big data technologies.
- Develop high-scale systems, applications, and advanced visual dashboards using Big Data technologies.
- Design and refine predictive models to solve complex business questions and improve operational predictability.
- Extract actionable insights from massive datasets to drive revenue and customer retention.
- Guide peers through system usage assessments.
- Lead process improvement initiatives and ensure rigorous data quality standards.
- Apply sophisticated UI/UX design principles to data visualization.
- Stay at the forefront of modeling techniques and emerging industry trends to keep Verizon’s analytics ecosystem "ahead of the game."
BASIC QUALIFICATIONS
- Bachelor’s degree or four or more years of work experience.
- Six or more years of relevant work experience.
- Experience in data management, analysis and visualization.
- Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
- Experience with data modeling using LookML in the Looker platform.
- Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro).
- Experience as a data scientist, analyst, or statistical modeler.
- Experience with programming language SQL.
- Experience in designing, developing and implementing ETL processes.
PREFERRED QUALIFICATIONS
- A master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research.
- A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners.
- Demonstrated knowledge of Retail Channel metrics and data domain principles.
- Experience in visual science / dashboard design principles.
- Experience in applying statistical ideas and methods to data sets to answer business problems.
- Experience with programming languages, like Python, JS, or R.
- Experience with Machine Learning algorithms and tools.
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.
WHERE YOU’LL BE WORKING
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.
Data Science Engineer Job Roles in New Jersey
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Search Data Science Engineer Jobs in New JerseyData Science Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data science engineers in New Jersey?
New Jersey's largest H-1B sponsors for data science engineering roles include Johnson & Johnson, Merck, Prudential Financial, Cognizant, and Tata Consultancy Services. Consulting and IT services firms with major New Jersey offices file a significant share of petitions, alongside pharma and financial services employers concentrated in the Princeton, Parsippany, and Iselin corridors. Large employers in these industries have established legal and HR infrastructure for sponsorship.
Which visa types are most common for data science engineer roles in New Jersey?
The H-1B is the most common visa for data science engineers in New Jersey, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, meeting the specialty occupation standard. Candidates from India and China often rely on H-1B and may later file EB-2 or EB-3 immigrant visa petitions. Australians may qualify for the E-3 visa, and Canadians or Mexicans may qualify under TN visa status in qualifying specialty categories.
Which cities in New Jersey have the most data science engineer sponsorship jobs?
Jersey City and Newark lead in volume, largely due to financial services firms with Manhattan-adjacent operations. Princeton and the surrounding Mercer County area concentrate pharma and biotech employers. Parsippany-Troy Hills and Bridgewater attract large corporate headquarters. Iselin and Edison, in Middlesex County, are notable for IT services firms that regularly sponsor data science and data engineering roles for international workers.
How to find data science engineer visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data science engineer roles in New Jersey without sorting through positions that don't offer sponsorship. The platform surfaces openings from employers with documented H-1B filing histories in New Jersey, which is particularly useful given how spread out sponsoring employers are across the Route 1 corridor, Mercer County, and the Newark metro.
Are there any New Jersey-specific factors that affect visa sponsorship for data science engineers?
New Jersey's prevailing wage requirements for H-1B petitions are benchmarked to the Newark-Jersey City and Trenton metropolitan statistical areas, which reflect competitive compensation expectations in financial services and pharma. Rutgers University and NJIT produce a steady pipeline of candidates who transition from F-1 OPT into sponsored positions, meaning New Jersey employers are generally familiar with the sponsorship process for this role category. Industry sector matters: pharma and finance employers here tend to have more established sponsorship workflows than smaller tech startups.
What is the prevailing wage for sponsored data science engineer jobs in New Jersey?
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.