Green Card Data Science Consultant Jobs
Data Science Consultant jobs with green card sponsorship require employers to complete PERM labor certification with the Department of Labor, file an I-140 petition with USCIS, and sponsor you for lawful permanent residence. EB-2 and EB-3 pathways are both available depending on your degree and experience, making this role well-suited for employment-based green card sponsorship.
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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 Green Card Data Science Consultant Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Data Science Consultant
Align your credentials to EB-2 requirements
If you hold a master's degree in statistics, computer science, or a related field, you qualify for EB-2. If your highest degree is a bachelor's, document five years of progressive data science experience meticulously, as USCIS scrutinizes career progression when substituting experience for an advanced degree.
Look up your prevailing wage before negotiating
Use the OFLC Wage Search to find the DOL-certified prevailing wage for Data Science Consultant roles in your target metro. Your employer's PERM filing must offer at least that wage, so knowing the number before salary discussions prevents the offer from stalling the process later.
Target employers with active PERM filing history
Search Migrate Mate to identify companies that have previously filed PERM applications for data science roles. Employers with existing green card infrastructure move faster and are less likely to abandon a sponsorship midway through the multi-year process.
Understand the recruitment test before your employer starts
PERM requires your employer to run DOL-prescribed recruitment, including job postings, newspaper ads, and internal notices, before filing. Coordinate early so the job description matches your actual duties and degree requirements, since discrepancies can trigger an audit or denial.
Review your O*NET occupation profile before interviews
O*NET lists the standard tasks, skills, and educational requirements for Data Science Consultant roles. Aligning your resume and interview answers to this profile strengthens the PERM labor certification, because the job description your employer files must reflect these standard occupation requirements.
Preserve your priority date if you change employers
Once your original I-140 is approved, your priority date can carry over to a new employer's I-140. AC21 portability also lets you change to a same or similar occupation once your I-485 has been pending 180 days or more, protecting years of queue time if you switch jobs mid-process.
Green Card Data Science Consultant: Frequently Asked Questions
Which green card category fits a Data Science Consultant role, EB-2 or EB-3?
EB-2 applies if you hold a master's degree or a bachelor's degree plus five years of progressive data science experience. EB-3 covers professionals with a bachelor's degree and skilled workers with at least two years of experience. Most Data Science Consultants qualify for EB-2, but your employer can file under EB-3 if your credentials fit that tier and the priority date is more favorable.
How does green card sponsorship differ from H-1B for this role?
H-1B visa is temporary, capped at 85,000 annually, and subject to a lottery. Employment-based green card sponsorship through PERM, I-140, and adjustment of status leads to lawful permanent residence. The PERM process requires your employer to test the labor market and obtain a prevailing wage determination from DOL before filing with USCIS, adding steps that H-1B does not require. Priority-date backlogs can also affect wait times for nationals of high-demand countries.
How do I find employers who sponsor green cards for data science roles?
Migrate Mate lists U.S. employers with verified PERM and employment-based green card filing history, searchable by role and location. Targeting companies that have already completed the PERM process for similar positions significantly reduces the risk of a sponsorship falling through due to employer inexperience or reluctance to invest in the multi-year process.
What happens to my place in the green card queue if I change employers?
Your priority date can transfer to a new employer's I-140 once your original I-140 was approved. Separately, if your I-485 adjustment-of-status application has been pending 180 days or more, AC21 portability lets you move to a same or similar occupation without losing your queue position. These are two distinct protections, and both require careful documentation to exercise correctly.
Can a Data Science Consultant self-petition for a green card without an employer?
Yes, through the EB-2 National Interest Waiver, or NIW. The NIW lets advanced-degree professionals self-petition by demonstrating that their work has substantial merit and national importance and that waiving the standard PERM requirement would benefit the United States. Data scientists working on public-health modeling, climate research, or critical infrastructure projects have successfully used this pathway. USCIS adjudicates NIW petitions without requiring a specific job offer or labor certification.