Data Science Consultant Jobs in USA with Visa Sponsorship
Data Science Consultant roles qualify as H-1B visa specialty occupations when they require a bachelor's degree or higher in statistics, computer science, or a related quantitative field. Employers routinely file LCAs through DOL and sponsor H-1B, O-1 visa, and EB-2 green card pathways for strong candidates with analytical and modeling expertise.
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Get Access To All JobsINTRODUCTION
When you join Verizon, 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
Working side-by-side with the consumer base marketers in the Fios and FWA markets. This role will use data to craft strategy and solutions to join our team. You’ll analyze internal and external data to help identify and quantify the potential of new products, forecast sales, and provide decision support through the life of the product. You will be working with multiple partners and balancing their needs to craft the direction of our new offerings and enable the product team to bring the best new products to market.
Responsibilities include:
- Evaluating and enhancing marketing campaign effectiveness using advanced analytics, A/B testing frameworks, and ROI analysis.
- Partnering with AI&A team to support the development of sophisticated ML models to predict customer behavior, churn patterns, sales transactions, and revenue.
- Performing advanced analytics, modeling and data mining to develop insights on our business.
- Developing unique customer lifecycle strategies and cross-BAU behavioral churn programs to proactively identify retention opportunities.
- Assisting in the creation of executive dashboards, standardized reporting frameworks, and compelling visualizations to ensure data-driven decision-making is embedded across the organization.
- Translating complex analytical findings into clear business recommendations, managing the Cost of Retention (COR) within financial guidance and supporting strategic marketing plans.
- Monitoring performance and reporting ongoing and ad hoc metrics in reports, presentations, and dashboards targeted to the situation and audience.
- Partnering with teams like Network Engineering, Digital Operations, Finance, and Marketing to align analytical solutions with business goals.
BASIC QUALIFICATIONS
You believe that proven data should be behind every important decision. You are a numbers person but you also have a strategic approach. You bring both a business perspective and an understanding of the marketplace—and not just theory and numbers. You have a knack for understanding and visualizing just the right way to share data and practical insights so that people can understand. People trust you based upon your thoughtful and detailed analyses.
You’ll need to have:
- Bachelor’s degree or four or more years of work experience.
- Four or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
- Relevant work experience in advanced analytics, measurement, or data science.
- 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 with programming language SQL.
- Experience translating business problems into analytical solutions.
PREFERRED QUALIFICATIONS
Even better if you have one or more of the following:
- A Master's degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Statistics, or a related STEM field.
- 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.
- Demonstrated knowledge of Omni Channel metrics and data domain principles.
- Experience in visual science / dashboard design principles.
- Foundational understanding of Generative AI principles, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) frameworks (e.g., LangChain, LlamaIndex, vector databases).
- 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.
- Innovative, proactive, and collaborative approach to problem-solving.
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: $81,000.00 - $155,000.00.
INTRODUCTION
When you join Verizon, 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
Working side-by-side with the consumer base marketers in the Fios and FWA markets. This role will use data to craft strategy and solutions to join our team. You’ll analyze internal and external data to help identify and quantify the potential of new products, forecast sales, and provide decision support through the life of the product. You will be working with multiple partners and balancing their needs to craft the direction of our new offerings and enable the product team to bring the best new products to market.
Responsibilities include:
- Evaluating and enhancing marketing campaign effectiveness using advanced analytics, A/B testing frameworks, and ROI analysis.
- Partnering with AI&A team to support the development of sophisticated ML models to predict customer behavior, churn patterns, sales transactions, and revenue.
- Performing advanced analytics, modeling and data mining to develop insights on our business.
- Developing unique customer lifecycle strategies and cross-BAU behavioral churn programs to proactively identify retention opportunities.
- Assisting in the creation of executive dashboards, standardized reporting frameworks, and compelling visualizations to ensure data-driven decision-making is embedded across the organization.
- Translating complex analytical findings into clear business recommendations, managing the Cost of Retention (COR) within financial guidance and supporting strategic marketing plans.
- Monitoring performance and reporting ongoing and ad hoc metrics in reports, presentations, and dashboards targeted to the situation and audience.
- Partnering with teams like Network Engineering, Digital Operations, Finance, and Marketing to align analytical solutions with business goals.
BASIC QUALIFICATIONS
You believe that proven data should be behind every important decision. You are a numbers person but you also have a strategic approach. You bring both a business perspective and an understanding of the marketplace—and not just theory and numbers. You have a knack for understanding and visualizing just the right way to share data and practical insights so that people can understand. People trust you based upon your thoughtful and detailed analyses.
You’ll need to have:
- Bachelor’s degree or four or more years of work experience.
- Four or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
- Relevant work experience in advanced analytics, measurement, or data science.
- 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 with programming language SQL.
- Experience translating business problems into analytical solutions.
PREFERRED QUALIFICATIONS
Even better if you have one or more of the following:
- A Master's degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Statistics, or a related STEM field.
- 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.
- Demonstrated knowledge of Omni Channel metrics and data domain principles.
- Experience in visual science / dashboard design principles.
- Foundational understanding of Generative AI principles, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) frameworks (e.g., LangChain, LlamaIndex, vector databases).
- 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.
- Innovative, proactive, and collaborative approach to problem-solving.
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: $81,000.00 - $155,000.00.
See all Data Science Consultant Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Consultant roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Consultant
Frame your degree for specialty occupation
Data Science Consultant petitions get challenged when the degree field is too broad. Pull your O*NET occupation profile and map your exact coursework in statistics, machine learning, or quantitative methods to the job duties listed in the LCA before your employer files.
Target employers with active LCA history
Use Migrate Mate to browse Data Science Consultant roles filtered by verified LCA sponsorship history, so you're applying to employers who have already navigated the DOL certification process for this specific occupation rather than those attempting it for the first time.
Request a prevailing wage tier review early
Your employer must certify a wage at the correct DOL prevailing wage tier on the LCA. Run your metro area and job title through the OFLC Wage Search before the offer stage so you can flag a mismatch before the LCA is submitted, not after.
Distinguish consulting structures for PERM eligibility
If your employer plans to sponsor a green card through PERM, the consulting arrangement must reflect a permanent, full-time position with that employer, not a client-site deployment model. Clarify the employment structure in writing before PERM labor certification begins.
Use H-1B portability once your petition is filed
If you're already in H-1B status and switching consulting firms, you can start the new role as soon as your new employer files the I-129 petition with USCIS. You don't need an approval notice in hand, which matters when project start dates are fixed.
Build a deliverables portfolio for O-1 consideration
Data Science Consultants whose work includes published model documentation, conference presentations, or peer-reviewed methodology can qualify for the O-1 visa. Document client outcomes, citations, and speaking engagements now, since O-1 evidence accumulates over years, not weeks.
Frequently Asked Questions
Does a Data Science Consultant role qualify as a specialty occupation for H-1B?
Yes, as long as the position requires at least a bachelor's degree in a directly related field such as statistics, computer science, applied mathematics, or data science. The employer must demonstrate this requirement in the LCA and I-129 petition. Generalist roles that accept any degree field can face USCIS challenges, so the job description must specify a narrow qualifying field.
Which visa types do Data Science Consultants typically use for U.S. sponsorship?
H-1B is the most common pathway for Data Science Consultants, covering initial three-year status extendable to six years. Candidates with an advanced degree may also qualify for the EB-2 green card, including the National Interest Waiver self-petition if their work has national significance. O-1 is an option for those with documented extraordinary ability through publications, speaking engagements, or high-impact project recognition.
How do I find Data Science Consultant employers who already sponsor visas?
Migrate Mate lists Data Science Consultant roles from employers with verified LCA sponsorship history, so you can focus your search on companies that have already filed for this occupation rather than cold-applying and hoping the topic comes up. This saves significant time during offer negotiations.
Does the consulting employment model affect green card sponsorship for Data Science roles?
It can. PERM labor certification requires the employer to demonstrate a permanent, full-time job opening at a fixed worksite. If you're deployed to rotating client sites, the employer must still be your direct employer of record and the PERM must reflect a genuine internal role. Third-party staffing arrangements often complicate or disqualify PERM filings, so clarify the employment structure before accepting an offer with green card sponsorship expectations.
What degree background do employers typically require for H-1B sponsorship in this role?
Most H-1B approvals for Data Science Consultant positions cite degrees in statistics, computer science, mathematics, or engineering. Degrees in economics or information systems can qualify if the coursework includes substantial quantitative and analytical components. USCIS reviews the relationship between the specific degree field and the job duties listed on the LCA, so a broad business or general IT degree without a quantitative concentration creates approval risk.
What is the prevailing wage requirement for sponsored Data Science Consultant 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.