Data Scientist Visa Sponsorship Jobs in New Jersey
New Jersey's data scientist job market is anchored by major employers in pharma, finance, and tech, with companies like Johnson & Johnson, Cognizant, and Prudential Financial actively hiring. Cities such as Newark, Princeton, and Jersey City offer strong concentrations of sponsorship-eligible roles, making the state one of the more active markets for international data science candidates on the East Coast.
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Get Access To All JobsSenior Data Scientist
Facility: Digital & IT
Location: Plainsboro, NJ, US
About the Department
The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for continuous learning and personal development. Are you ready to maximize your potential with us?
The Position
The Senior Data Scientist will help drive the NNI Advanced Analytics vision to explore and develop new solutions that may hold the potential to add value to patients and Novo Nordisk in the future within therapeutic areas covered by Novo Nordisk corporate and commercial strategies. The Senior Data Scientist will build machine learning-based tools and processes within the company’s current big data infrastructure such as recommendation engines, automated propensity scoring systems, and A/B testing procedures. The Senior Data Scientist will work with Novo Nordisk's Big Data Analytics COE and other similar roles in Medical Information and Analytics, Medical Data Analytics, and HR People Research and Analytics to help foster and grow a community of predictive and prescriptive analytics.
Relationships
The Senior Data Scientist reports to the Director of Data Science. Internal relationships include other Commercial Effectiveness functions, especially Analytics and Data Governance; Big Data Analytics COE, Commercial Product and Portfolio personnel, and Area Commercial Leads. Extended internal relationships could include those in other Data Science/Data Science-like roles in Clinical, Medical, Regulatory, Human Resources, Global Development and Seattle's Device Research center. External relationships include relationships with commercial collaboration partners as well as academia, where necessary.
Essential Functions
The Senior Data Scientist is expected to:
- Develop Machine Learning-based solutions using available commercial data, including but not limited to, IQVIA (IMS) data, Real World Data (e.g., Truven), Financial Data, Sales Force Automation (e.g., Veeva) data, and integrated campaign management (e.g., Adobe) data
- Build and maintain processes to acquire, process and curate necessary data for analysis and insights
- Mine and analyze data to identify insights pertaining to dynamic and/or micro segmentation of patient, physician, and payer/delivery providers
- Translate analytic insights into real world solutions
- Design methods to generate real-time predictive and descriptive analytics from big datasets
- Take responsibility in making new, relevant solutions to real Commercial problems and be able to show successful implementation
- Occasionally participate in network with external collaboration partners, e.g., academia, other Pharmaceutical and Non-pharmaceutical Data Science departments specializing in improving commercial results through data science techniques
Physical Requirements
0-10% overnight travel required.
Qualifications
- Education: A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied Mathematics, Physics, Engineering)
- Advanced degree may be substituted for experience as appropriate
- 8 years of experience from relevant industry such as pharmaceutical, biotechnology, consumer product, or medical device industries.
- Required knowledge related to machine learning, including supervised, unsupervised, reinforced (deep) learning methods and ensemble learning methods.
- Specifically, algorithms such as k-NN, Linear and Generalized Linear Models, naml, Bayes, SVM, and Random Forest
- Preferred knowledge related to how pharmaceutical companies market and sell products, market forces that impact decisions made to improve commercial outcomes, and how machine learning models can improve such outcomes
- Excellent written and oral communication skills required
- Proven ability to influence, communicate, and collaborate across the local organization
- Broad, detailed understanding and mastery of technical area with a track record of analyzing critical data through the application and optimization of distinct analytical skills
- Record of translating technical mastery to significant project impact
- Ability to work independently as well as working in teams. Included in this is the ability to network with external parties
- Demonstrated ability to generate valuable and relevant ideas, create concepts based on ideas, and develop new solutions based on concepts
- Deep knowledge of at least one relevant technical area: computer science, computational statistics, including Bayesian inference, mathematics, or systems dynamics
- Required experience within several of the following areas:
- Experience with analytics tools such Python, R, or SAS and SQL, PowerPivot
The base compensation range for this position is $120,300 to $222,600. Base compensation is determined based on a number of factors. This position is also eligible for a company bonus based on individual and company performance. Novo Nordisk offers long-term incentive compensation and or company vehicles depending on the position's level or other company factors.
Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its sick time policy, flexible vacation policy, and parental leave policy.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk, we're not chasing quick fixes – we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and defeating diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.
Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Senior Data Scientist
Facility: Digital & IT
Location: Plainsboro, NJ, US
About the Department
The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for continuous learning and personal development. Are you ready to maximize your potential with us?
The Position
The Senior Data Scientist will help drive the NNI Advanced Analytics vision to explore and develop new solutions that may hold the potential to add value to patients and Novo Nordisk in the future within therapeutic areas covered by Novo Nordisk corporate and commercial strategies. The Senior Data Scientist will build machine learning-based tools and processes within the company’s current big data infrastructure such as recommendation engines, automated propensity scoring systems, and A/B testing procedures. The Senior Data Scientist will work with Novo Nordisk's Big Data Analytics COE and other similar roles in Medical Information and Analytics, Medical Data Analytics, and HR People Research and Analytics to help foster and grow a community of predictive and prescriptive analytics.
Relationships
The Senior Data Scientist reports to the Director of Data Science. Internal relationships include other Commercial Effectiveness functions, especially Analytics and Data Governance; Big Data Analytics COE, Commercial Product and Portfolio personnel, and Area Commercial Leads. Extended internal relationships could include those in other Data Science/Data Science-like roles in Clinical, Medical, Regulatory, Human Resources, Global Development and Seattle's Device Research center. External relationships include relationships with commercial collaboration partners as well as academia, where necessary.
Essential Functions
The Senior Data Scientist is expected to:
- Develop Machine Learning-based solutions using available commercial data, including but not limited to, IQVIA (IMS) data, Real World Data (e.g., Truven), Financial Data, Sales Force Automation (e.g., Veeva) data, and integrated campaign management (e.g., Adobe) data
- Build and maintain processes to acquire, process and curate necessary data for analysis and insights
- Mine and analyze data to identify insights pertaining to dynamic and/or micro segmentation of patient, physician, and payer/delivery providers
- Translate analytic insights into real world solutions
- Design methods to generate real-time predictive and descriptive analytics from big datasets
- Take responsibility in making new, relevant solutions to real Commercial problems and be able to show successful implementation
- Occasionally participate in network with external collaboration partners, e.g., academia, other Pharmaceutical and Non-pharmaceutical Data Science departments specializing in improving commercial results through data science techniques
Physical Requirements
0-10% overnight travel required.
Qualifications
- Education: A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied Mathematics, Physics, Engineering)
- Advanced degree may be substituted for experience as appropriate
- 8 years of experience from relevant industry such as pharmaceutical, biotechnology, consumer product, or medical device industries.
- Required knowledge related to machine learning, including supervised, unsupervised, reinforced (deep) learning methods and ensemble learning methods.
- Specifically, algorithms such as k-NN, Linear and Generalized Linear Models, naml, Bayes, SVM, and Random Forest
- Preferred knowledge related to how pharmaceutical companies market and sell products, market forces that impact decisions made to improve commercial outcomes, and how machine learning models can improve such outcomes
- Excellent written and oral communication skills required
- Proven ability to influence, communicate, and collaborate across the local organization
- Broad, detailed understanding and mastery of technical area with a track record of analyzing critical data through the application and optimization of distinct analytical skills
- Record of translating technical mastery to significant project impact
- Ability to work independently as well as working in teams. Included in this is the ability to network with external parties
- Demonstrated ability to generate valuable and relevant ideas, create concepts based on ideas, and develop new solutions based on concepts
- Deep knowledge of at least one relevant technical area: computer science, computational statistics, including Bayesian inference, mathematics, or systems dynamics
- Required experience within several of the following areas:
- Experience with analytics tools such Python, R, or SAS and SQL, PowerPivot
The base compensation range for this position is $120,300 to $222,600. Base compensation is determined based on a number of factors. This position is also eligible for a company bonus based on individual and company performance. Novo Nordisk offers long-term incentive compensation and or company vehicles depending on the position's level or other company factors.
Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its sick time policy, flexible vacation policy, and parental leave policy.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk, we're not chasing quick fixes – we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and defeating diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.
Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Data Scientist Job Roles in New Jersey
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Search Data Scientist Jobs in New JerseyData Scientist Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data scientists in New Jersey?
Several large employers in New Jersey have established track records of sponsoring work visas for data scientists. These include pharmaceutical companies like Johnson & Johnson and Merck, financial services firms like Prudential Financial and Conduent, and technology and consulting firms such as Cognizant, Infosys, and Tata Consultancy Services. Large healthcare systems and research institutions in the state also appear regularly in federal Labor Condition Application filings for data science roles.
Which visa types are most common for data scientist roles in New Jersey?
The H-1B visa is the most common visa category for data scientists in New Jersey, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Some candidates also enter through the L-1B (intracompany transfer for specialized knowledge) or OPT/STEM OPT extensions while transitioning from F-1 student status. A smaller number of senior or research-focused roles may qualify for O-1 visa consideration.
Which cities in New Jersey have the most data scientist sponsorship jobs?
Newark, Jersey City, and Princeton are the most active cities in New Jersey for data scientist sponsorship roles. Newark and Jersey City benefit from proximity to New York City's tech and finance sectors, making them natural hubs for employers who operate across both states. Princeton draws heavily from its research university ecosystem and concentration of pharmaceutical and biotech firms. Parsippany and Bridgewater also see consistent data science hiring, particularly from pharma and insurance companies headquartered in those corridors.
How to find data scientist visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates searching for visa-sponsored data scientist roles and filters jobs by state, so you can browse New Jersey openings directly. Because sponsorship is not always listed explicitly in job postings, focusing on employers with a history of filing Labor Condition Applications in New Jersey, particularly in pharma, finance, and consulting, helps narrow your search to realistic opportunities. Migrate Mate surfaces these employers so you can apply strategically.
Are there any state-specific factors that affect data scientist sponsorship in New Jersey?
New Jersey's concentration of pharmaceutical, biotech, and financial services employers creates consistent demand for data scientists with domain-specific skills, which can strengthen a sponsorship case. The state is home to several research universities, including Rutgers, that feed talent pipelines and maintain relationships with regional sponsors. Prevailing wage requirements for H-1B petitions are determined at the metropolitan statistical area level, so wages in the Newark-Jersey City metro tend to reflect broader New York City market benchmarks rather than statewide averages.
What is the prevailing wage for sponsored data scientist 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.