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 JobsJoin the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today.
The Data Scientist will query and analyze large, complex datasets to generate insights that support revenue cycle optimization across an evolving cancer care delivery environment. This role applies advanced analytics, statistical modeling, and machine learning techniques to improve financial performance, streamline end-to-end revenue cycle operations, and enhance the patient financial experience. Working closely with revenue cycle leadership, clinical teams, and IT partners, this role translates data into actionable strategies that improve reimbursement, reduce denials, and optimize operational efficiency.
As a successful candidate, you will:
- Partner with revenue cycle, finance, and operational leaders to drive data-informed decision making across billing, coding, and collections
- Analyze large datasets from EHR, billing, claims, and financial systems to identify revenue leakage and optimization opportunities
- Develop and deploy predictive models to improve denials management, cash collections, and reimbursement outcomes
- Design and implement pilots to test and optimize revenue cycle strategies in real-time environments
- Build dashboards and visualizations to monitor KPIs such as AR days, denial rates, and net revenue performance
- Translate complex data findings into actionable insights for operational and executive stakeholders
- Identify trends and patterns related to payer performance, coding accuracy, and claim adjudication
- Lead analytics projects that support revenue cycle transformation and process improvement initiatives
- Collaborate cross-functionally with IT and clinical teams to enhance data quality and reporting capabilities
Your qualifications should include:
- Master’s degree with 0+ years of experience, or Bachelor’s degree with 3+ years of relevant experience
- Experience with data analytics, statistical modeling, and machine learning techniques
- Proficiency in at least one programming language such as Python, R, Java, or C/C++
- Strong experience with SQL and working with relational databases (e.g., Snowflake), along with data visualization tools such as Tableau
- Experience with machine learning methods (e.g., Random Forest, XGBoost, LightGBM) and deep learning techniques (e.g., CNN, RNN, LSTM)
- Demonstrated ability to extract, analyze, and interpret data to develop predictive models and drive financial outcomes
- Experience creating data visualizations and communicating insights to non-technical audiences
- Strong problem-solving skills with the ability to manage complex, cross-functional projects
- Familiarity with healthcare revenue cycle data, EHR systems (EPIC), claims, billing, and payer workflows required
- Experience with cloud platforms such as AWS or Azure and modern data science tools preferred
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.
City of Hope is an equal opportunity employer.
To learn more about our Comprehensive Benefits, please CLICK HERE.
Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today.
The Data Scientist will query and analyze large, complex datasets to generate insights that support revenue cycle optimization across an evolving cancer care delivery environment. This role applies advanced analytics, statistical modeling, and machine learning techniques to improve financial performance, streamline end-to-end revenue cycle operations, and enhance the patient financial experience. Working closely with revenue cycle leadership, clinical teams, and IT partners, this role translates data into actionable strategies that improve reimbursement, reduce denials, and optimize operational efficiency.
As a successful candidate, you will:
- Partner with revenue cycle, finance, and operational leaders to drive data-informed decision making across billing, coding, and collections
- Analyze large datasets from EHR, billing, claims, and financial systems to identify revenue leakage and optimization opportunities
- Develop and deploy predictive models to improve denials management, cash collections, and reimbursement outcomes
- Design and implement pilots to test and optimize revenue cycle strategies in real-time environments
- Build dashboards and visualizations to monitor KPIs such as AR days, denial rates, and net revenue performance
- Translate complex data findings into actionable insights for operational and executive stakeholders
- Identify trends and patterns related to payer performance, coding accuracy, and claim adjudication
- Lead analytics projects that support revenue cycle transformation and process improvement initiatives
- Collaborate cross-functionally with IT and clinical teams to enhance data quality and reporting capabilities
Your qualifications should include:
- Master’s degree with 0+ years of experience, or Bachelor’s degree with 3+ years of relevant experience
- Experience with data analytics, statistical modeling, and machine learning techniques
- Proficiency in at least one programming language such as Python, R, Java, or C/C++
- Strong experience with SQL and working with relational databases (e.g., Snowflake), along with data visualization tools such as Tableau
- Experience with machine learning methods (e.g., Random Forest, XGBoost, LightGBM) and deep learning techniques (e.g., CNN, RNN, LSTM)
- Demonstrated ability to extract, analyze, and interpret data to develop predictive models and drive financial outcomes
- Experience creating data visualizations and communicating insights to non-technical audiences
- Strong problem-solving skills with the ability to manage complex, cross-functional projects
- Familiarity with healthcare revenue cycle data, EHR systems (EPIC), claims, billing, and payer workflows required
- Experience with cloud platforms such as AWS or Azure and modern data science tools preferred
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.
City of Hope is an equal opportunity employer.
To learn more about our Comprehensive Benefits, please CLICK HERE.
See all 2,109+ Green Card Data Scientist Jobs
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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.