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 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 JobsABOUT ABBVIE
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
JOB DESCRIPTION
As Data Science and AI Lead overseeing Platform, Governance, and Delivery for Data Science and AI solutions at AbbVie, you will lead a diverse team of data scientists responsible for designing, executing, and scaling data science solutions across the enterprise. Reporting into Operations Business Insights (OBI), you will establish and execute the vision and roadmap for a robust, agile, and compliant data science platform, ensuring strong governance practices and operational excellence in delivering impactful data science to drive innovation, performance, and agility company wide.
Leading a multifaceted team, you will have end-to-end accountability for platform strategy, stakeholder engagement, project delivery, and talent development. You will be expected to set the standard for technical and consulting excellence, foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, business partners, academic collaborators, and technology leaders.
Key Responsibilities:
-
Provide leadership in developing, maintaining, and governing the data science platform to enable secure, scalable, and compliant analytics throughout AbbVie’s global operations, spanning Supply Chain, Quality, Procurement, Manufacturing, and Science & Technology.
-
Oversee the delivery lifecycle from requirements discovery, solution design, and modeling through deployment and monitoring of productionized data science applications, studies, and proofs of concept by leading teams of diverse data scientists and analysts.
-
Lead and champion best practices in data governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GxP, master data management, data lineage, model validation, etc.).
-
Push forward with semantic engineering and agentic engineering, best practices and capability delivery to support more advanced AI use cases. Oversee architects involved in semantic and agentic engineering and solutioning.
-
Develop and promote advanced analytics capability, including supervised/unsupervised machine learning, deep learning, AI/ML platform services, and the enablement of novel AI applications such as RAG and semantic layering for human-in-the-loop systems.
-
Foster strategic partnerships with senior functional leaders, technology stakeholders, and external collaborators to accelerate the transfer of advanced methods into high-value business solutions.
-
Collaborate on group strategy and roadmap, enable cross-functional GenAI initiatives, and serve as a thought leader for education, awareness, and innovation in enterprise data science.
-
Ensure robust consulting, communication, and change management plans are in place to drive adoption of data science solutions at all organizational levels, including executive leadership.
-
Mentor, coach, and develop a diverse team, building a pipeline of talent that can take on increasingly complex projects and lead education initiatives (journal clubs, technical upskilling, peer review, etc.).
QUALIFICATIONS
Required:
- Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience.
- Significant experience leading multi-disciplinary teams delivering enterprise-scale data science platforms and applications, preferably in regulated industries such as pharmaceuticals, life sciences, or healthcare operations.
- Deep expertise in data science methods (ML, AI, statistics), modern data engineering (cloud, big data, pipeline orchestration), and business analytics, with mastery of tools such as Python, R, Dataiku, AWS SageMaker, Spark, Tableau, etc.
- Demonstrated ability to define and execute governance frameworks for data quality, master data, model lifecycle management, and regulatory compliance.
- Extensive consulting and stakeholder management experience, including effective communication of complex technical solutions to executive audiences and cross-functional business partners.
- Proven ability to drive innovation (strategy, whitepapers, roadmaps), develop cross-functional partnerships, and lead technology transfer initiatives to embed analytics into core business processes.
- Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning.
- Self-driven, highly adaptable, and able to quickly master new domains and tools in response to emerging business or technology trends.
Preferred:
- Experience delivering data science solutions in industry (non-academic settings strongly preferred), with demonstrated progression in leadership roles.
- Experience with data-driven transformation in Quality, Supply Chain, Procurement, or Central Operations within a large pharmaceutical or life sciences organization, and deep understanding of GxP practices.
- Background in technology innovation, MLOps, platform architecture, or boutique/strategy consulting with measurable stakeholder impact.
ADDITIONAL INFORMATION
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
-
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
-
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
-
This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
ABOUT ABBVIE
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
JOB DESCRIPTION
As Data Science and AI Lead overseeing Platform, Governance, and Delivery for Data Science and AI solutions at AbbVie, you will lead a diverse team of data scientists responsible for designing, executing, and scaling data science solutions across the enterprise. Reporting into Operations Business Insights (OBI), you will establish and execute the vision and roadmap for a robust, agile, and compliant data science platform, ensuring strong governance practices and operational excellence in delivering impactful data science to drive innovation, performance, and agility company wide.
Leading a multifaceted team, you will have end-to-end accountability for platform strategy, stakeholder engagement, project delivery, and talent development. You will be expected to set the standard for technical and consulting excellence, foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, business partners, academic collaborators, and technology leaders.
Key Responsibilities:
-
Provide leadership in developing, maintaining, and governing the data science platform to enable secure, scalable, and compliant analytics throughout AbbVie’s global operations, spanning Supply Chain, Quality, Procurement, Manufacturing, and Science & Technology.
-
Oversee the delivery lifecycle from requirements discovery, solution design, and modeling through deployment and monitoring of productionized data science applications, studies, and proofs of concept by leading teams of diverse data scientists and analysts.
-
Lead and champion best practices in data governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GxP, master data management, data lineage, model validation, etc.).
-
Push forward with semantic engineering and agentic engineering, best practices and capability delivery to support more advanced AI use cases. Oversee architects involved in semantic and agentic engineering and solutioning.
-
Develop and promote advanced analytics capability, including supervised/unsupervised machine learning, deep learning, AI/ML platform services, and the enablement of novel AI applications such as RAG and semantic layering for human-in-the-loop systems.
-
Foster strategic partnerships with senior functional leaders, technology stakeholders, and external collaborators to accelerate the transfer of advanced methods into high-value business solutions.
-
Collaborate on group strategy and roadmap, enable cross-functional GenAI initiatives, and serve as a thought leader for education, awareness, and innovation in enterprise data science.
-
Ensure robust consulting, communication, and change management plans are in place to drive adoption of data science solutions at all organizational levels, including executive leadership.
-
Mentor, coach, and develop a diverse team, building a pipeline of talent that can take on increasingly complex projects and lead education initiatives (journal clubs, technical upskilling, peer review, etc.).
QUALIFICATIONS
Required:
- Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience.
- Significant experience leading multi-disciplinary teams delivering enterprise-scale data science platforms and applications, preferably in regulated industries such as pharmaceuticals, life sciences, or healthcare operations.
- Deep expertise in data science methods (ML, AI, statistics), modern data engineering (cloud, big data, pipeline orchestration), and business analytics, with mastery of tools such as Python, R, Dataiku, AWS SageMaker, Spark, Tableau, etc.
- Demonstrated ability to define and execute governance frameworks for data quality, master data, model lifecycle management, and regulatory compliance.
- Extensive consulting and stakeholder management experience, including effective communication of complex technical solutions to executive audiences and cross-functional business partners.
- Proven ability to drive innovation (strategy, whitepapers, roadmaps), develop cross-functional partnerships, and lead technology transfer initiatives to embed analytics into core business processes.
- Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning.
- Self-driven, highly adaptable, and able to quickly master new domains and tools in response to emerging business or technology trends.
Preferred:
- Experience delivering data science solutions in industry (non-academic settings strongly preferred), with demonstrated progression in leadership roles.
- Experience with data-driven transformation in Quality, Supply Chain, Procurement, or Central Operations within a large pharmaceutical or life sciences organization, and deep understanding of GxP practices.
- Background in technology innovation, MLOps, platform architecture, or boutique/strategy consulting with measurable stakeholder impact.
ADDITIONAL INFORMATION
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
-
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
-
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
-
This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
See all 973+ 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 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.
Data Science Lead jobs are hiring across the US. Find yours.
Find Data Science Lead JobsData Science Lead H-1B Visa: 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.
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