Data Scientist Jobs in USA with Visa Sponsorship
Data science is one of the strongest categories for H-1B visa sponsorship, with most positions requiring a master's degree or higher in a quantitative field. STEM classification makes extended OPT available, and sponsored roles are concentrated in tech, finance, and healthcare. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.
Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next – together!
ROLE AND RESPONSIBILITIES
We're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems.
Your Impact
- Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges.
- Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks.
- Next-Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks.
- Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems.
- Technical Leadership: Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.
BASIC QUALIFICATIONS
- Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains.
- Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks.
- Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications.
- Taken responsibility for models from concept to production, utilizing strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments.
- High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines.
- Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Time Series Forecasting algorithms.
PREFERRED QUALIFICATIONS
- Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
- Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.
- Background in forecasting, planning, or analytics applications.
- Familiarity with Anaplan or similar enterprise planning platforms.
- Experience with A/B testing and experimentation frameworks for AI features.
- Contributions to open-source ML projects or research publications.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper – this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
INTRODUCTION
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.
Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next – together!
ROLE AND RESPONSIBILITIES
We're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems.
Your Impact
- Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges.
- Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks.
- Next-Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks.
- Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems.
- Technical Leadership: Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.
BASIC QUALIFICATIONS
- Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains.
- Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks.
- Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications.
- Taken responsibility for models from concept to production, utilizing strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments.
- High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines.
- Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Time Series Forecasting algorithms.
PREFERRED QUALIFICATIONS
- Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
- Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.
- Background in forecasting, planning, or analytics applications.
- Familiarity with Anaplan or similar enterprise planning platforms.
- Experience with A/B testing and experimentation frameworks for AI features.
- Contributions to open-source ML projects or research publications.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper – this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
See all 2,434+ Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Scientist
Specialize in a high-demand machine learning area
Natural language processing, computer vision, recommendation systems, and causal inference are specializations with strong sponsorship demand. Companies filing H-1B petitions for data scientists often need specific ML expertise that is difficult to source domestically, which strengthens the specialty occupation argument.
Target FAANG and top-tier tech companies
Google, Meta, Amazon, Apple, Netflix, and Microsoft file among the highest numbers of H-1B petitions for data science roles. These companies have streamlined immigration processes, dedicated legal teams, and the budget to support sponsorship at scale.
Publish research or contribute to open-source ML projects
Publications at conferences like NeurIPS, ICML, or KDD and contributions to open-source ML libraries demonstrate expertise that goes beyond a resume. This track record can also support future O-1 or EB-1 petitions if you build a significant body of work over time.
Use STEM OPT strategically
Data science degrees in statistics, computer science, or applied mathematics qualify for the 24-month STEM OPT extension, giving you up to 36 months of work authorization. Use this time to ship production ML models and demonstrate measurable business impact, which gives your employer a strong basis for sponsorship.
Prepare for rigorous technical interviews
Sponsored data scientist roles at top companies typically involve multiple interview rounds covering statistics, probability, SQL, coding, and ML system design. Prepare with resources specific to data science interviews rather than generic software engineering prep, as the emphasis on experimental design and statistical reasoning is distinct.
Frequently Asked Questions
How strong is visa sponsorship demand for data scientists?
Data scientist roles have consistently high H-1B visa filing activity, particularly in tech, finance, and healthcare. The role falls under SOC code 15-2051 (Data Scientists), which is classified as a STEM occupation. Companies like Google, Meta, Amazon, Netflix, and major banks file hundreds of H-1B petitions annually for data science positions.
How to find Data Scientist jobs with visa sponsorship?
Use Migrate Mate to find Data Scientist positions with H-1B, O-1 visa, or TN visa sponsorship. Focus on tech companies, financial institutions, healthcare organizations, and consulting firms that actively sponsor international talent. Filter for roles requiring machine learning, statistical analysis, and programming skills. Many Fortune 500 companies and growing startups regularly sponsor visas for qualified data science professionals.
What degree level is typically required for sponsored data scientist positions?
Most sponsored data scientist positions require at least a master's degree in statistics, computer science, mathematics, or a related quantitative field. Some entry-level roles accept a bachelor's degree with strong research or internship experience. A PhD can open doors to research scientist positions and may qualify for EB-1B or O-1 visa categories based on outstanding research contributions.
Can data scientists pursue green card sponsorship?
Yes, data scientists with several years of experience are strong candidates for EB-2 or EB-3 employer-sponsored green cards. Those with published research, patents, or significant contributions to the field may also qualify for EB-2 NIW (National Interest Waiver), which does not require employer sponsorship. Advanced degrees and specialized expertise in areas like machine learning or NLP can strengthen the petition.
What programming languages are most important for sponsored data science roles?
Python is the dominant language for data science, followed by R for statistical analysis and SQL for data manipulation. Experience with frameworks like PyTorch, TensorFlow, scikit-learn, and PySpark is expected for machine learning roles. Companies also value familiarity with cloud ML platforms like AWS SageMaker, Google Vertex AI, or Azure ML.
What is the prevailing wage requirement for sponsored Data Scientist jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage" — the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level — for example, a data scientist in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search.