Data Science Lead Visa Sponsorship Jobs in New Jersey
New Jersey's data science lead market spans pharmaceutical giants like Johnson & Johnson and Merck in Morris County, financial services firms along the Hudson waterfront, and a growing tech corridor from Princeton to Newark. Employers in these industries regularly sponsor H-1B visas for experienced data science professionals, making New Jersey one of the more active states for senior-level sponsorship.
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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:
Data Science Lead Job Roles in New Jersey
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Search Data Science Lead Jobs in New JerseyData Science Lead Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data science leads in New Jersey?
Pharmaceutical and life sciences companies are among the most active sponsors for data science leads in New Jersey, including Johnson & Johnson, Merck, and Becton Dickinson. Financial services firms headquartered near Jersey City and financial technology companies also file H-1B petitions for senior data roles. Large tech employers with New Jersey offices, such as Cognizant and Conduent, appear in Department of Labor disclosure data for data-related positions.
Which visa types are most common for data science lead roles in New Jersey?
The H-1B is by far the most common visa category for data science leads in New Jersey, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field like statistics, computer science, or mathematics. Candidates already holding L-1 visa intracompany transferee status or O-1 visa extraordinary ability visas may also fill senior data science roles, though H-1B sponsorship dominates hiring in this category.
Which cities in New Jersey have the most data science lead sponsorship jobs?
Jersey City and Newark attract data science lead roles tied to financial services and large enterprise employers, partly due to proximity to New York City. Princeton and the surrounding Mercer County area is a strong hub given the concentration of pharmaceutical research firms and proximity to Princeton University. Parsippany, Morris Plains, and Raritan in Morris and Somerset counties host major pharma headquarters that regularly sponsor senior data talent.
How to find data science lead visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data science lead roles in New Jersey without sifting through positions that don't support international candidates. Because senior data roles in New Jersey are concentrated in pharma and financial services, filtering by those industries on Migrate Mate helps narrow the results to employers with demonstrated sponsorship histories in this state.
Are there state-specific factors that affect visa sponsorship for data science leads in New Jersey?
New Jersey employers sponsoring H-1B workers must meet the Department of Labor's prevailing wage requirements for the specific metropolitan area, which differ between the Newark-Jersey City metro and more suburban counties like Mercer or Somerset. New Jersey's dense pharma and biotech sector means many data science lead roles require domain knowledge in life sciences, which can affect how employers define the specialty occupation in their Labor Condition Applications. Rutgers University and NJIT also contribute a pipeline of graduate talent that competes for the same sponsorship slots.
What is the prevailing wage for sponsored data science lead jobs in New Jersey?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.