Green Card Data Science Lead Jobs
Data Science Lead roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no equally qualified U.S. worker is available. Most positions require a master's degree or equivalent, making EB-2 the common pathway. Sponsorship timelines vary significantly by country of birth.
Find Green Card Data Science Lead JobsOverview
Showing 5 of 1,019+ Data Science Lead jobs
See all 1,019+ Data Science Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Lead roles.
Get Access To All JobsSenior Data Science Lead - R01566414
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Primary Skills
- Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
- Data Science Advanced: Data Specialist
Job Requirements
- Experience Range: 12+ years of experience in data science, including hands-on expertise in advanced statistical modeling and machine learning
- Location: Deerfield Beach, FL
- Work Type: Hybrid min 3 days onsite per week
Key Responsibilities:
- Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making
- Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms
- Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes
- Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning
- Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML
- Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insights
- Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI
- Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team
Required Skills:
- Expertise in hypothesis testing, T-Test, and Z-Test
- Advanced proficiency in regression techniques (linear and logistic)
- Strong programming skills in Python and PySpark
- Experience with SAS or SPSS for statistical analysis and computing
- Hands-on knowledge of probabilistic graph models
- Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet
- Forecasting techniques, including exponential smoothing, ARIMA, and ARIMAX
- Experience with model deployment tools such as KubeFlow and BentoML
- Strong understanding of classification algorithms (decision trees, SVM)
- Proficiency in R and R Studio
Preferred Skills:
- Experience with Great Expectation and Evidently AI for model validation and monitoring
- Knowledge of advanced distance metrics (Hamming, Euclidean, Manhattan)
- Expertise in scalable data engineering for machine learning pipelines
- Hands-on experience with cloud-based machine learning platforms
- Familiarity with MLOps best practices and CI/CD for data science
Desired Qualifications:
- Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
- Relevant certifications in machine learning, data science, or analytics (e.g., TensorFlow, SAS, or equivalent)
Salary: 140-150 USD per year salary
Senior Data Science Lead - R01566414
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Primary Skills
- Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
- Data Science Advanced: Data Specialist
Job Requirements
- Experience Range: 12+ years of experience in data science, including hands-on expertise in advanced statistical modeling and machine learning
- Location: Deerfield Beach, FL
- Work Type: Hybrid min 3 days onsite per week
Key Responsibilities:
- Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making
- Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms
- Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes
- Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning
- Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML
- Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insights
- Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI
- Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team
Required Skills:
- Expertise in hypothesis testing, T-Test, and Z-Test
- Advanced proficiency in regression techniques (linear and logistic)
- Strong programming skills in Python and PySpark
- Experience with SAS or SPSS for statistical analysis and computing
- Hands-on knowledge of probabilistic graph models
- Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet
- Forecasting techniques, including exponential smoothing, ARIMA, and ARIMAX
- Experience with model deployment tools such as KubeFlow and BentoML
- Strong understanding of classification algorithms (decision trees, SVM)
- Proficiency in R and R Studio
Preferred Skills:
- Experience with Great Expectation and Evidently AI for model validation and monitoring
- Knowledge of advanced distance metrics (Hamming, Euclidean, Manhattan)
- Expertise in scalable data engineering for machine learning pipelines
- Hands-on experience with cloud-based machine learning platforms
- Familiarity with MLOps best practices and CI/CD for data science
Desired Qualifications:
- Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
- Relevant certifications in machine learning, data science, or analytics (e.g., TensorFlow, SAS, or equivalent)
Salary: 140-150 USD per year salary
See all 1,019+ Green Card Data Science Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Data Science Lead Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in Data Science Lead
Document your advanced degree equivalency early
If your highest credential is a three-year bachelor's degree plus graduate coursework, get a credential evaluation before job searching. EB-2 PERM petitions require proof of an advanced degree, and gaps here stall the I-140 filing after an offer is already in hand.
Target employers with PERM filing history
Search DOL OFLC disclosure data to identify companies that have filed PERM applications for data science roles specifically, not just tech roles broadly. Employers already familiar with the process move faster and make fewer errors during the prevailing wage determination stage.
Use Migrate Mate to filter green-card-sponsoring employers
Filter your Data Science Lead job search on Migrate Mate to surface employers with active EB-2 and EB-3 sponsorship history. This cuts the time spent on companies that only sponsor H-1B visa and have no PERM infrastructure.
Clarify the SOC code before your offer letter is signed
Data Science Lead roles can be classified under multiple Standard Occupational Classification codes, which directly affects the prevailing wage DOL sets during PERM. Ask your recruiter which SOC code the job description will use and verify it against the OFLC Wage Search before accepting.
Negotiate for PERM filing within your first year
Many employers delay PERM until they're confident in your performance, but early filing protects your priority date. For applicants born in India or China, locking in an earlier priority date can mean years of difference in green card wait times at the EB-2 or EB-3 preference level.
Cross-check your job duties against O*NET before PERM advertising begins
PERM job postings must accurately reflect the minimum requirements for the role. Review the O*NET occupation profile for data science positions to ensure your employer's posted requirements align with the duties you'll actually perform, reducing the risk of a USCIS audit after filing.
Green Card Data Science Lead: Frequently Asked Questions
Does a Data Science Lead role typically qualify for EB-2 or EB-3 sponsorship?
Most Data Science Lead positions qualify for EB-2 because they require a master's degree or a bachelor's degree plus substantial progressive experience in data science or a closely related field. If the employer is willing to set the minimum requirement at a bachelor's degree, EB-3 is also viable and may move faster for applicants from countries with shorter EB-3 backlogs.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B sponsorship is temporary and subject to an annual lottery, while EB-2 and EB-3 PERM sponsorship leads to permanent residency with no lottery. The PERM process requires your employer to run a formal recruitment campaign before USCIS filing, which typically adds six to twelve months to the overall timeline, but the outcome is a path to a green card rather than a renewable nonimmigrant status.
How long does the full green card process take for a Data Science Lead hired on PERM?
From PERM filing through I-140 approval and adjustment of status, the process typically takes two to four years for applicants born outside India and China. For Indian and Chinese nationals, employment-based backlogs at the EB-2 and EB-3 levels can extend the total wait significantly longer. Your priority date, established when PERM is filed, determines your place in the queue.
What documentation should I prepare before a Data Science Lead employer starts my PERM case?
Gather certified copies of all academic credentials, including transcripts and degree certificates, along with a detailed employment history showing progressive experience in data science. If you hold a three-year degree, obtain a credential evaluation from a NACES-approved evaluator early. USCIS may audit the I-140 petition, so your documentation needs to support every minimum requirement listed in the PERM job posting.
Where can I find Data Science Lead jobs where the employer already sponsors green cards?
Use Migrate Mate to search specifically for Data Science Lead roles where employers have a documented history of EB-2 and EB-3 PERM sponsorship. Searching broadly and then asking recruiters about green card sponsorship late in the process wastes time on companies that only offer H-1B support and have no PERM workflow in place.