H-1B Visa Data Science Consultant Jobs
Data Science Consultant jobs qualify as H-1B visa specialty occupations because they require at least a bachelor's degree in data science, statistics, computer science, or a closely related field. Employers file a Labor Condition Application with DOL and an I-129 petition with USCIS, sponsoring you for an initial three-year period with extensions up to six years total.
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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 H-1B Visa Data Science Consultant Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Science Consultant
Align your degree to the LCA job duties
Your degree field must map directly to the data science duties listed on the Labor Condition Application. If your degree is in a related but non-obvious field like economics or engineering, prepare a credential evaluation that connects your coursework to the specific analytical and modeling responsibilities in the job description.
Verify prevailing wages before accepting offers
Use the OFLC Wage Search to look up the Level I through Level IV prevailing wages for your specific SOC code and work location before negotiations. Your offered salary must meet or exceed the certified LCA wage, so knowing the floor protects you from offers that cannot legally proceed to filing.
Target employers with multi-state LCA filing history
Data Science Consultant roles frequently involve rotating client engagements across different worksites. Each new worksite requires its own certified LCA. Search Migrate Mate to find employers who have filed LCAs across multiple locations, signaling they have established processes for managing worksite amendments at scale.
Confirm the employer's specialty occupation documentation approach
USCIS scrutinizes whether a consultant role genuinely requires a specific bachelor's degree rather than a general one. Ask hiring managers whether the job description specifies degree fields and whether they have successfully responded to Requests for Evidence on specialty occupation grounds for similar roles in the past.
File your I-129 with premium processing for client-driven start dates
Consulting firms often tie your start date to a client project launch. Standard USCIS processing can take several months, creating a mismatch with client timelines. Premium processing reduces the adjudication window significantly and gives both you and the employer confidence in committing to a project kickoff date.
Document consulting deliverables to satisfy specialty occupation evidence
If you're transitioning from a full-time data science role into consulting, compile work samples, project scopes, and client deliverables that demonstrate degree-level analytical complexity. USCIS may request evidence that the consulting duties, not just the job title, require specialized theoretical knowledge rather than generalist technical skills.
H-1B Visa Data Science Consultant: Frequently Asked Questions
Does a Data Science Consultant role qualify as an H-1B specialty occupation?
Yes, Data Science Consultant roles typically qualify as specialty occupations because they require at least a bachelor's degree in data science, statistics, computer science, mathematics, or a directly related field. The O*NET profile for related data science occupations confirms a degree requirement consistent with specialty occupation standards. What matters is that the job description ties the duties to that specific degree field, not just any bachelor's degree.
How do H-1B employers handle LCAs when a Data Science Consultant works across multiple client sites?
Each distinct worksite where you perform work requires its own certified Labor Condition Application. If a client engagement moves you from one city to another, your employer must file a new LCA covering the new location before you begin work there. This is a common compliance gap at consulting firms, so ask your employer how they manage worksite amendments and whether they have a dedicated immigration team handling multi-state filings.
How can I find Data Science Consultant employers who actively sponsor H-1B visas?
Migrate Mate lists employers with verified H-1B LCA filing history, so you can browse companies that have already navigated the sponsorship process for data science roles. Focusing your search on employers with established filing track records reduces the risk of an offer stalling because the company lacks internal experience with H-1B petitions for consultant positions.
Can my H-1B status continue if I move between client projects at the same employer?
Yes, as long as you remain employed by the same sponsoring employer and your role continues to meet specialty occupation requirements, your H-1B status remains valid for the approved petition period, up to three years initially and extendable to a six-year maximum. Moving between client projects internally does not require a new petition, but worksite changes may require amended or new LCA filings depending on the locations involved.
What happens to my H-1B status if the consulting firm loses a major client and lays me off?
If your employment ends, you have a 60-day grace period to find a new H-1B sponsor, change to another valid status, or depart the country. During that window, you cannot work. A new employer must file an H-1B transfer petition on your behalf, and you can begin work for them once USCIS receives the petition, not necessarily after approval, under portability rules. Act quickly, since 60 days passes faster than most people expect.