Data Science Manager Jobs in USA with Visa Sponsorship
Data Science Manager positions frequently qualify for H-1B visa, O-1 visa, and EB-2 visa sponsorship due to the advanced statistical modeling, machine learning expertise, and team leadership requirements. Most roles require a master's degree in data science, statistics, computer science, or related quantitative field. For detailed occupation requirements, see the O*NET profile.
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INTRODUCTION
GSK is one of the world's preeminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Data & Analytics team integrates, simplifies, and unlocks all our data. This drives innovation, decision-making, and allows us to better serve our patients, healthcare professionals, and consumers.
This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following:
ROLE AND RESPONSIBILITIES
- Manage a team of 2-4 data scientists and engineers.
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Develop and deliver high quality, analytics and insights using AI/ML and statistical models to uncover business learnings for the US commercial oncology business at the patient, HCP, and health system level aligned with analytical priorities for:
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Customer segmentation
- Brand performance reporting
- Predictive patient modeling
- Propensity score modeling
- Sentiment analysis
- Marketing Mix Modeling
- Omnichannel analytics
- Resource allocation and budget optimization
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Experimental design (test/control) analyses
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Develop, deploy, maintain and monitor data analytics automation in enterprise data platforms within a CI/CD framework.
- Work with commercial business reporting owners in developing agent-based AI tools to support analytics automation, delivery and visualization of insights and business focused interrogation of data.
- Understand data science opportunities, based on analytical knowledge, needed to deliver innovative solutions to uncover drivers of gaps in understanding of patient unmet needs and HCP prescribing patterns to improve strategic opportunities.
- Act as a data science expert, by learning and contributing to GSK’s data science community to grow their data skills, build best practices, and grow data science literacy within the organization.
- Earn the trust of stakeholder partners to drive data-driven decisions through active engagement, advanced analytics expertise, demonstrated learning, and business knowledge.
- Establish and define project plans, proactively seek inputs needed to complete results according to plan and deliver milestones according to plan.
- Collaborate on cross-matrix teams and demonstrate subject matter expertise with other teams/functions to drive efficiencies and seamless decision making.
- Use storytelling, powerful visualizations to demonstrate power of utilizing data science with business partners and analytics team members which enable fact-based recommendations that inspire usage for data driven decisions.
BASIC QUALIFICATIONS
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- Master's or PhD in statistics, mathematics, engineering or related analytical field.
- 5+ years of experience applying analytics and statistical skills in a business setting.
- 3+ years of professional experience with analytics tools/languages and visualization tools.
- Experience in analytics tools/languages such as SQL, Python, PySpark, and visualization tools.
- Experience working in cloud compute environments and Databricks or Snowflake data platforms.
- Experience in coding statistical and ML models.
- Experience with developing and deploying AI agentic processes.
- Proactively identify areas for analysis, including the potential application for machine learning, and contribute to problem-solving.
PREFERRED QUALIFICATIONS
If you have the following characteristics, it would be a plus:
- Enthusiasm for leveraging Real World Data.
- Analytical curiosity to develop innovative solutions to solve complex problems.
- Effective communicator with strong business acumen knowledge.
- Understanding of business needs and ability to develop appropriate solutions.
- Demonstrate teamwork and strong collaborative partnerships.
- Familiarity with healthcare-related datasets, such as claims data (e.g., IQVIA, Komodo Health).
- Experience with modeling treatment line of therapy, patient journey analysis, and HCP prioritization.
SKILLS
Algorithms, Data Assessment, Data Cleansing, Data Preprocessing, Exploratory Data Analysis (EDA), Feature Engineering, Hypothesis Testing, Mathematics Modeling, Model Evaluation, Predictive Modeling, Probabilistic Modeling, Reliability Engineering, Statistical Analysis, Statistical Analysis Techniques, Statistical Significance Testing.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
WHY GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
IMPORTANT NOTICE TO EMPLOYMENT BUSINESSES/AGENCIES
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Manager
Emphasize advanced analytics leadership
Highlight experience managing data science teams, implementing ML pipelines, and driving strategic decisions through predictive modeling to demonstrate the specialized management skills that justify visa sponsorship.
Document quantitative impact metrics
Present specific examples of revenue increases, cost savings, or efficiency gains from your data science initiatives to show measurable business value that supports your sponsorship case.
Target tech companies and consulting firms
Focus on employers like Google, Microsoft, McKinsey, or Deloitte that regularly sponsor visas for senior data roles and understand the strategic value of data science leadership.
Highlight cross-functional collaboration skills
Emphasize experience translating complex analytics into business insights for executives and coordinating with product, engineering, and marketing teams to demonstrate your unique management capabilities.
Showcase advanced technical expertise
Document proficiency in specialized tools like TensorFlow, PyTorch, cloud platforms, and statistical programming languages that require years of training and aren't easily replaceable domestically.
Consider the EB-2 pathway early
Data Science Manager roles often qualify for EB-2 green cards due to the advanced degree requirement and national interest potential, making it worth discussing with sponsors.
Frequently Asked Questions
Do Data Science Manager roles typically get H-1B sponsorship?
Yes, Data Science Manager positions regularly receive H-1B visa sponsorship because they require specialized knowledge in statistical modeling, machine learning algorithms, and advanced analytics that qualifies as a specialty occupation. The combination of technical expertise and management responsibilities makes these roles strong sponsorship candidates.
How to find Data Science Manager jobs with visa sponsorship?
To find Data Science Manager positions with visa sponsorship, use Migrate Mate, which specializes in connecting international candidates with sponsoring employers. Focus on tech companies, financial services, and healthcare organizations that frequently sponsor H-1B and O-1 visas for senior data science roles. These industries actively seek experienced managers who can lead analytics teams and drive data-driven decision making across their organizations.
What degree do I need for Data Science Manager visa sponsorship?
Most employers require a master's degree in data science, statistics, computer science, mathematics, or a related quantitative field. Some accept a bachelor's degree with significant additional experience, but the master's requirement is increasingly common and strengthens your sponsorship case significantly.
Can I qualify for an O-1 visa as a Data Science Manager?
Data Science Managers can qualify for O-1 visas if they have extraordinary achievements like published research in top journals, patents, speaking at major conferences, or leading groundbreaking projects at recognized companies. The role alone isn't enough, you need documented exceptional accomplishments.
Which companies sponsor Data Science Managers most frequently?
Large tech companies (Google, Amazon, Microsoft), consulting firms (McKinsey, Deloitte, BCG), financial institutions (Goldman Sachs, JPMorgan), and healthcare companies (UnitedHealth, Anthem) sponsor Data Science Manager roles regularly. These employers understand the strategic value and have established sponsorship processes.
How does team size affect my sponsorship chances?
Managing larger data science teams generally strengthens your sponsorship case by demonstrating senior-level responsibilities that are harder to fill domestically. However, even managers of small teams can qualify if the technical complexity and business impact of your work is significant enough.
What is the prevailing wage requirement for sponsored Data Science Manager jobs?
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.