H-1B Visa Data Science Lead Jobs
Data Science Lead roles sit at the intersection of technical depth and team leadership, two factors that strengthen an H-1B visa specialty occupation case. Employers filing for this title typically classify it under SOC 15-2051, and LCA wage levels III and IV are standard for lead-level positions.
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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 1,110+ H-1B Visa Data Science Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Science Lead Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Data Science Lead
Verify your SOC code before applying
Data Science Lead roles are typically filed under SOC 15-2051. Confirm that your target employer's LCA uses a code matching your actual duties, not a generic IT title, because a mismatch can trigger an RFE.
Check prevailing wage levels using OFLC Wage Search
Lead-level roles usually land at wage level III or IV. Run your job's SOC code and location through OFLC Wage Search before negotiating your offer so your salary clears the certified wage threshold in the LCA.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and affiliated entities are H-1B cap-exempt. If lottery odds concern you, use Migrate Mate to filter for Data Science Lead postings at employers with documented cap-exempt filing history.
Document your leadership scope for the specialty occupation case
USCIS requires evidence that the role needs at minimum a bachelor's degree in a specific field. For lead roles, gather org charts, project scopes, and technical deliverables showing that a degree in data science, statistics, or a directly related field is genuinely required.
Confirm E-Verify enrollment before accepting any offer
H-1B sponsorship requires your employer to be registered with USCIS. Ask HR to confirm active E-Verify enrollment during the offer stage, not after you've resigned from your current position.
Plan around the 60-day grace period when changing roles
If you're leaving a current H-1B employer, you have a 60-day grace period to secure a new sponsor filing. Make sure your new employer's I-129 is submitted before that window closes to maintain lawful status.
H-1B Visa Data Science Lead: Frequently Asked Questions
Do Data Science Lead roles qualify as H-1B specialty occupations?
Yes. Data Science Lead positions qualify because they require at minimum a bachelor's degree in a specific field such as data science, statistics, computer science, or applied mathematics. USCIS evaluates the role's actual duties, not just the title. Lead roles that involve architectural decisions, cross-functional oversight, and advanced modeling work consistently meet the specialty occupation standard.
How do I find employers that actively sponsor H-1B visas for Data Science Lead positions?
Migrate Mate shows verified LCA filing history by employer and role, so you can see which companies have filed for Data Science Lead or closely related data science titles. This is more reliable than inferring sponsorship intent from a job posting, since many listings don't disclose sponsorship status upfront.
What wage level should a Data Science Lead role be certified at on the LCA?
Most Data Science Lead roles are certified at DOL wage level III or IV, reflecting the supervisory and advanced technical scope of the position. Level I or II certifications for a lead title can raise adjudication questions. Check the prevailing wage for your specific SOC code and metro area using OFLC Wage Search before accepting an offer.
Can I use O*NET to understand whether my Data Science Lead duties support an H-1B petition?
O*NET provides the official occupational profile for data scientist roles, including required knowledge, skills, and education levels. Comparing your actual job description to the O*NET profile for SOC 15-2051 helps you assess alignment before your employer files. Strong overlap between your duties and the O*NET profile supports the specialty occupation argument in the petition.
What happens to my H-1B status if I get promoted to Data Science Lead from a lower-level role?
A promotion that changes your title, duties, or wage level is considered a material change under USCIS policy. Your employer needs to file an amended I-129 before the new role begins. Don't assume your existing approval covers the lead position. File the amendment promptly to avoid a gap in authorized employment.