Green Card Data Scientist Jobs
Data Scientist roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Employers file a PERM labor certification with DOL before sponsoring your I-140 petition, making this one of the most direct paths to permanent U.S. residency for quantitative professionals.
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Get Access To All JobsINTRODUCTION
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
ROLE AND RESPONSIBILITIES
This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
Responsibilities:
- Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
- Applies agile practices for project management, solution development, deployment, and maintenance
- Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
- Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
- Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
- Mitigates risk by identifying potential issues and developing controls
- Researches the latest advances in the fields of data science and artificial intelligence to support business analytics
As a Data Scientist on the team, key Responsibilities will involve:
- Develop analytical solutions supporting credit risk, fraud analytics, customer segmentation, and portfolio management.
- Extract, transform, and analyze large datasets from enterprise data platforms.
- Build dashboards, reports, and automated analytical workflow / solutions
- Support credit risk scorecard development, monitoring, performance tracking, and stress testing.
- Perform data quality validation, reconciliation, and process improvement initiatives.
- Conduct portfolio analytics, segmentation, trend analysis, and loss forecasting
- Extends company’s data with third party sources of information when needed
BASIC QUALIFICATIONS
- Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Finance, or a related quantitative discipline.
- Strong STEM background - Knowledge of Machine Learning, NLP, Deep Learning, Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization
- Minimum 2 years of experience developing tableau data visualization, reports and dashboards.
- Proficiency in languages such as Python (scikit learn, pandas, numpy etc.), SQL, SAS, R & MATLAB, C/C++
- Prior experience with SQL and NoSQL databases, distributed computing
- Applied statistics skills, such as distributions, statistical testing, regression, etc.
- Strong business analysis and documentation skills, including requirements, process flows, and data lineage
- Ability to manage multiple and competing priorities
- Excellent written and verbal communication skills
PREFERRED QUALIFICATIONS
- Adaptability
- Attention to Detail
- Business Analytics
- Technical Documentation
- Written Communications
- Agile Practices
- Application Development
- Collaboration
- Data Visualization
- DevOps Practices
- Artificial Intelligence/Machine Learning
- Networking
- Policies, Procedures, and Guidelines Management
- Presentation Skills
- Risk Management
SHIFT
1st shift (United States of America)
HOURS PER WEEK
40
INTRODUCTION
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
ROLE AND RESPONSIBILITIES
This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
Responsibilities:
- Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
- Applies agile practices for project management, solution development, deployment, and maintenance
- Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
- Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
- Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
- Mitigates risk by identifying potential issues and developing controls
- Researches the latest advances in the fields of data science and artificial intelligence to support business analytics
As a Data Scientist on the team, key Responsibilities will involve:
- Develop analytical solutions supporting credit risk, fraud analytics, customer segmentation, and portfolio management.
- Extract, transform, and analyze large datasets from enterprise data platforms.
- Build dashboards, reports, and automated analytical workflow / solutions
- Support credit risk scorecard development, monitoring, performance tracking, and stress testing.
- Perform data quality validation, reconciliation, and process improvement initiatives.
- Conduct portfolio analytics, segmentation, trend analysis, and loss forecasting
- Extends company’s data with third party sources of information when needed
BASIC QUALIFICATIONS
- Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Finance, or a related quantitative discipline.
- Strong STEM background - Knowledge of Machine Learning, NLP, Deep Learning, Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization
- Minimum 2 years of experience developing tableau data visualization, reports and dashboards.
- Proficiency in languages such as Python (scikit learn, pandas, numpy etc.), SQL, SAS, R & MATLAB, C/C++
- Prior experience with SQL and NoSQL databases, distributed computing
- Applied statistics skills, such as distributions, statistical testing, regression, etc.
- Strong business analysis and documentation skills, including requirements, process flows, and data lineage
- Ability to manage multiple and competing priorities
- Excellent written and verbal communication skills
PREFERRED QUALIFICATIONS
- Adaptability
- Attention to Detail
- Business Analytics
- Technical Documentation
- Written Communications
- Agile Practices
- Application Development
- Collaboration
- Data Visualization
- DevOps Practices
- Artificial Intelligence/Machine Learning
- Networking
- Policies, Procedures, and Guidelines Management
- Presentation Skills
- Risk Management
SHIFT
1st shift (United States of America)
HOURS PER WEEK
40
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Data Scientist
Document your degree field precisely
PERM requires your degree to match the role's specialty occupation definition. A degree in statistics, computer science, or applied mathematics strengthens the match. A business or general IT degree may require a credential evaluation to confirm equivalency.
Target employers with PERM filing history
Search OFLC disclosure data for employers who have filed PERM applications under SOC code 15-2051 (Data Scientists). Employers with repeated filings have established internal processes, which shortens your sponsorship timeline significantly.
Search green card sponsoring roles on Migrate Mate
Filter Data Scientist roles by EB-2 or EB-3 sponsorship availability on Migrate Mate. You'll see which employers have active green card pipelines, so you're not starting a sponsorship conversation from scratch during negotiations.
Verify prevailing wage before accepting an offer
Your offered salary must meet the DOL prevailing wage for your job location and experience level. Use the OFLC Wage Search to look up the Level I through Level IV wage for Data Scientists in your target city before the offer stage.
Ask about the EB-2 NIW option if self-petitioning fits
If your research or modeling work has national economic or scientific impact, a National Interest Waiver lets you skip the PERM step entirely and self-petition. USCIS evaluates this under a three-prong test without requiring a specific employer.
Confirm your employer is E-Verify enrolled before PERM starts
DOL requires employers to post a job notice and run recruitment steps before filing PERM. If your employer isn't E-Verify enrolled, some state-level recruitment requirements may complicate the process. Confirm enrollment status during the offer negotiation stage.
Green Card Data Scientist: Frequently Asked Questions
Does a Data Scientist role qualify for EB-2 or EB-3 green card sponsorship?
Data Scientist positions typically qualify for EB-2 if the role requires a master's degree or equivalent, and EB-3 if a bachelor's degree plus experience suffices. Most employers filing PERM for this role use EB-2 because the job normally requires an advanced degree in statistics, computer science, or a quantitative field. Your employer's HR or immigration counsel determines which category fits the specific job description.
How is the green card process different from H-1B sponsorship for Data Scientists?
H-1B visa is a temporary work visa renewed in three-year increments with no path to permanency on its own. The EB-2 and EB-3 green card process, starting with PERM labor certification, leads directly to lawful permanent residency. There's no annual cap lottery at the EB-3 level for most countries, and EB-2 priority dates for countries outside India and China are often current, meaning shorter waits than many candidates expect.
How long does PERM labor certification take for a Data Scientist position?
DOL currently processes most PERM applications within six to eighteen months, depending on whether the application goes through analyst review or audit. Data Scientist roles sometimes draw audits because the job duties overlap with software development roles, which DOL scrutinizes for accurate classification. After PERM certification, your employer files the I-140 petition with USCIS, and then you file for adjustment of status or consular processing depending on your priority date.
What O*NET classification applies to Data Scientist roles, and why does it matter for PERM?
Data Scientists are classified under O*NET SOC code 15-2051. PERM filings must use the correct SOC code to run compliant recruitment and establish the right prevailing wage level. Using a mismatched code, such as filing under a software developer code for a role focused on statistical modeling, can trigger a DOL audit and delay certification by months. Your employer's legal team should verify the SOC match against your actual job duties before filing.
How do I find Data Scientist jobs where the employer will sponsor a green card?
Migrate Mate lets you search Data Scientist roles filtered specifically by EB-2 and EB-3 green card sponsorship availability. This matters because most general job boards don't distinguish between H-1B-only sponsors and employers willing to run a full PERM process. Filtering upfront saves you from roles where sponsorship conversations stall after an offer, which is one of the most common delays for foreign professionals in quantitative fields.