Data Science Analyst Jobs in USA with Visa Sponsorship
Data Science Analyst roles are among the most actively sponsored positions in the U.S., with employers regularly filing H-1B visa and O-1 visa petitions for qualified candidates. Most roles require a bachelor's or master's degree in statistics, computer science, or a related quantitative field. For detailed occupation requirements, see the O*NET profile.
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This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026.
Portfolio Data & Digital Innovation (PDDI) is a multidisciplinary team dedicated to transforming how Development leverages data, technology, and artificial intelligence to make faster, better-informed decisions. We bring together expertise in portfolio analytics, data management, AI/ML innovation, Planisware technology, and digital product delivery to create scalable solutions that improve portfolio visibility, streamline operations, and accelerate decision-making. Through initiatives such as Project FORWARD, AI-powered automation, portfolio intelligence tools, and a connected data foundation, PDDI partners across Development, Finance, IT, and other functions to drive innovation, strengthen governance, and enable a more data-driven and agile organization.
What You’ll Do:
As a member of the Portfolio Data & Digital Innovation (PDDI) team, you will help shape the future of data-driven decision making across Biogen's R&D portfolio. Working alongside data scientists, portfolio strategists, data engineers, and business leaders, you will develop AI-powered solutions that improve portfolio visibility, accelerate decision-making, enhance data quality, and streamline operational workflows. You will contribute across the full solution lifecycle, from data acquisition and engineering to model development, deployment, monitoring, and continuous improvement.
Key responsibilities include:
- Collaborate with data scientists, portfolio analysts, and subject matter experts to develop and deploy innovative AI and analytics solutions.
- Design and implement machine learning, predictive analytics, and decision-support models that address real-world portfolio and operational challenges.
- Develop interactive dashboards, reporting tools, and data products that translate complex data into actionable insights.
- Research and evaluate emerging AI, machine learning, and agentic AI technologies and identify opportunities to apply them within pharmaceutical R&D.
- Partner with stakeholders across Development, Portfolio Management, and Operations to understand business needs and deliver scalable, high-impact solutions.
- Contribute to the design and maintenance of data pipelines, AI platforms, and software products that support enterprise decision-making.
- Promote responsible AI practices, model transparency, and continuous learning through experimentation and innovation.
Example projects may include:
- Building AI agents that automate portfolio reporting, risk identification, and data reconciliation workflows.
- Developing predictive and prescriptive analytics to support portfolio prioritization and strategic planning.
- Developing scalable data pipelines and ETL processes that integrate data from Planisware, quality systems, financial systems, and other enterprise platforms.
- Supporting the design, optimization, and governance of Biogen's Snowflake-based data ecosystem, enabling trusted, AI-ready data products and analytics.
- Creating machine learning models and decision-support tools for resource forecasting, quality analytics, and operational intelligence.
- Developing Project FORWARD capabilities that connect data, AI, and workflow automation to enable a more proactive and intelligent portfolio management ecosystem.
Who You Are:
You are a curious, collaborative, and impact-oriented candidate who enjoys solving complex business problems through data, analytics, and AI. You combine strong technical skills with a passion for translating innovative ideas into practical solutions that create measurable business value.
Qualifications
- Proficiency in Python, R, or another programming language commonly used for data science and analytics.
- Strong foundation in machine learning, statistics, and data analysis.
- Familiarity with NLP, LLMs, generative AI, and their underlying methodologies.
- Experience with modern machine learning and deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, or similar platforms.
- Experience building and maintaining data pipelines, ETL workflows, and data integration processes.
- Proficiency in SQL and experience working with enterprise-scale relational and cloud-based data platforms.
- Familiarity with Snowflake, Databricks, or other modern cloud data warehousing technologies.
- Understanding of data modeling concepts, including dimensional modeling, star schemas, and data architecture best practices.
- Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences.
- Strong problem-solving skills and a desire to work collaboratively in a multidisciplinary environment.
- Passion for learning, experimenting with emerging AI technologies, and applying them to business challenges.
Preferred Qualifications:
- Experience developing AI-powered applications, decision-support systems, or data products.
- Experience with Monte Carlo simulation, optimization, forecasting, or decision science methodologies.
- Familiarity with cloud platforms, GitHub, CI/CD pipelines, k8s, containerization, or Linux environments.
- Experience with data visualization and product development frameworks such as Streamlit, Power BI, or similar technologies.
- Experience in pharmaceutical, biotechnology, healthcare, quality, compliance, or R&D portfolio analytics.
- Demonstrated interest in reproducing and implementing state-of-the-art AI and machine learning research.
To participate in the Biogen Internship or Co-op Program, students must meet the following eligibility criteria:
- Legal authorization to work in the U.S.
- At least 18 years of age prior to the scheduled start date.
- Be currently enrolled in an accredited community college, college, university or skills program/apprenticeship.
Education Requirements
Currently pursuing a Master’s degree in Data Science, Statistics, Bioinformatics, Computer Science, Computational Biology, or related field.
Job Level: Internship
Additional Information
The base compensation range for this role is: $29.00-$29.00
The actual hourly wage offered will consider the candidate’s current academic level and degree candidacy, inclusive of Associate, Bachelor’s, Master’s, JD, MD, PhD and MBA programs. It will comply with state or local minimum wage requirements specific to the job location.
In addition to compensation, Biogen offers a range of benefits designed to support our educational employees, including, but not limited to:
- Company paid holidays
- Commuter benefits
- Employee Resource Groups participation
- 80 hours of sick time per calendar year
Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
About the Role:
This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026.
Portfolio Data & Digital Innovation (PDDI) is a multidisciplinary team dedicated to transforming how Development leverages data, technology, and artificial intelligence to make faster, better-informed decisions. We bring together expertise in portfolio analytics, data management, AI/ML innovation, Planisware technology, and digital product delivery to create scalable solutions that improve portfolio visibility, streamline operations, and accelerate decision-making. Through initiatives such as Project FORWARD, AI-powered automation, portfolio intelligence tools, and a connected data foundation, PDDI partners across Development, Finance, IT, and other functions to drive innovation, strengthen governance, and enable a more data-driven and agile organization.
What You’ll Do:
As a member of the Portfolio Data & Digital Innovation (PDDI) team, you will help shape the future of data-driven decision making across Biogen's R&D portfolio. Working alongside data scientists, portfolio strategists, data engineers, and business leaders, you will develop AI-powered solutions that improve portfolio visibility, accelerate decision-making, enhance data quality, and streamline operational workflows. You will contribute across the full solution lifecycle, from data acquisition and engineering to model development, deployment, monitoring, and continuous improvement.
Key responsibilities include:
- Collaborate with data scientists, portfolio analysts, and subject matter experts to develop and deploy innovative AI and analytics solutions.
- Design and implement machine learning, predictive analytics, and decision-support models that address real-world portfolio and operational challenges.
- Develop interactive dashboards, reporting tools, and data products that translate complex data into actionable insights.
- Research and evaluate emerging AI, machine learning, and agentic AI technologies and identify opportunities to apply them within pharmaceutical R&D.
- Partner with stakeholders across Development, Portfolio Management, and Operations to understand business needs and deliver scalable, high-impact solutions.
- Contribute to the design and maintenance of data pipelines, AI platforms, and software products that support enterprise decision-making.
- Promote responsible AI practices, model transparency, and continuous learning through experimentation and innovation.
Example projects may include:
- Building AI agents that automate portfolio reporting, risk identification, and data reconciliation workflows.
- Developing predictive and prescriptive analytics to support portfolio prioritization and strategic planning.
- Developing scalable data pipelines and ETL processes that integrate data from Planisware, quality systems, financial systems, and other enterprise platforms.
- Supporting the design, optimization, and governance of Biogen's Snowflake-based data ecosystem, enabling trusted, AI-ready data products and analytics.
- Creating machine learning models and decision-support tools for resource forecasting, quality analytics, and operational intelligence.
- Developing Project FORWARD capabilities that connect data, AI, and workflow automation to enable a more proactive and intelligent portfolio management ecosystem.
Who You Are:
You are a curious, collaborative, and impact-oriented candidate who enjoys solving complex business problems through data, analytics, and AI. You combine strong technical skills with a passion for translating innovative ideas into practical solutions that create measurable business value.
Qualifications
- Proficiency in Python, R, or another programming language commonly used for data science and analytics.
- Strong foundation in machine learning, statistics, and data analysis.
- Familiarity with NLP, LLMs, generative AI, and their underlying methodologies.
- Experience with modern machine learning and deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, or similar platforms.
- Experience building and maintaining data pipelines, ETL workflows, and data integration processes.
- Proficiency in SQL and experience working with enterprise-scale relational and cloud-based data platforms.
- Familiarity with Snowflake, Databricks, or other modern cloud data warehousing technologies.
- Understanding of data modeling concepts, including dimensional modeling, star schemas, and data architecture best practices.
- Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences.
- Strong problem-solving skills and a desire to work collaboratively in a multidisciplinary environment.
- Passion for learning, experimenting with emerging AI technologies, and applying them to business challenges.
Preferred Qualifications:
- Experience developing AI-powered applications, decision-support systems, or data products.
- Experience with Monte Carlo simulation, optimization, forecasting, or decision science methodologies.
- Familiarity with cloud platforms, GitHub, CI/CD pipelines, k8s, containerization, or Linux environments.
- Experience with data visualization and product development frameworks such as Streamlit, Power BI, or similar technologies.
- Experience in pharmaceutical, biotechnology, healthcare, quality, compliance, or R&D portfolio analytics.
- Demonstrated interest in reproducing and implementing state-of-the-art AI and machine learning research.
To participate in the Biogen Internship or Co-op Program, students must meet the following eligibility criteria:
- Legal authorization to work in the U.S.
- At least 18 years of age prior to the scheduled start date.
- Be currently enrolled in an accredited community college, college, university or skills program/apprenticeship.
Education Requirements
Currently pursuing a Master’s degree in Data Science, Statistics, Bioinformatics, Computer Science, Computational Biology, or related field.
Job Level: Internship
Additional Information
The base compensation range for this role is: $29.00-$29.00
The actual hourly wage offered will consider the candidate’s current academic level and degree candidacy, inclusive of Associate, Bachelor’s, Master’s, JD, MD, PhD and MBA programs. It will comply with state or local minimum wage requirements specific to the job location.
In addition to compensation, Biogen offers a range of benefits designed to support our educational employees, including, but not limited to:
- Company paid holidays
- Commuter benefits
- Employee Resource Groups participation
- 80 hours of sick time per calendar year
Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
See all 4,309+ Data Science Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Analyst
Target employers with a strong H-1B filing history
Companies that have sponsored Data Science Analysts before are far more likely to do it again. Look for employers with consistent OFLC disclosure data showing approved LCAs for data science or analytics roles in recent fiscal years.
Lead with your quantitative degree, not just your tools
H-1B specialty occupation approval hinges on your degree field matching the role. A degree in statistics, applied mathematics, computer science, or economics is a stronger foundation than listing Python and SQL skills alone.
Understand that OPT gives you time, but not much
If you're on F-1 OPT, you typically have 12 months, or 36 on STEM OPT, before you need H-1B status. Use that window strategically. Missing the April lottery means waiting a full year for the next one.
Frame your work in terms of business impact, not just methods
Sponsors and visa officers both want to see that your role is essential, not interchangeable. Quantify outcomes wherever possible: models deployed, revenue influenced, decisions improved. This strengthens both your application and your petition.
Ask about sponsorship policy early, but ask it the right way
Raise sponsorship during the offer stage, not the first interview. Ask whether the company has sponsored roles like yours before, rather than leading with visa uncertainty. Framing it as process familiarity signals confidence, not risk.
Consider employers in sectors with high approval rates
Technology, financial services, and consulting firms consistently show high H-1B approval rates for data science roles. These industries have established immigration infrastructure and legal teams familiar with specialty occupation petitions for analytical positions.
Frequently Asked Questions
Does a Data Science Analyst role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS generally treats data science and analytics roles as specialty occupations when the position requires at least a bachelor's degree in a specific quantitative field, such as statistics, computer science, mathematics, or data science. The job description matters. Roles that accept any degree, regardless of field, face higher denial risk, so a tightly written job posting that specifies the required field of study strengthens the petition considerably.
Do I need a master's degree to get sponsored as a Data Science Analyst?
No, but it helps. A bachelor's degree in a directly relevant quantitative field, such as statistics, computer science, or applied mathematics, is typically sufficient for H-1B visa eligibility. A master's degree gives you two advantages: it makes the specialty occupation argument more straightforward, and it qualifies you for the advanced degree cap pool, which has historically offered better H-1B lottery selection odds than the general cap.
What H-1B approval rates should I expect for data science roles?
H-1B approval rates for data science and analytics positions have generally been above 85% in recent fiscal years when filed by established sponsors with strong job descriptions. Denials are more common for roles at smaller employers with weak specialty occupation documentation or where the degree requirement isn't clearly specified. The lottery remains the bigger obstacle, not the approval itself.
Can I find Data Science Analyst jobs that are open to sponsoring H-1B or OPT candidates?
Yes. Migrate Mate filters sponsorship-open Data Science Analyst roles specifically, so you're not sifting through postings that won't consider visa candidates. Employers listed there have either sponsored before or have indicated openness to sponsorship, which cuts out a significant amount of wasted application effort for international candidates.
Can a foreign degree in data science or a related field support an H-1B petition?
Yes, foreign degrees are accepted for H-1B purposes, but they need to be evaluated for U.S. equivalency. A three-year bachelor's degree from certain countries may or may not be accepted as equivalent to a U.S. four-year degree, depending on the evaluator and the petition. Your employer's immigration attorney will typically arrange a credential evaluation through a recognized service. Degrees from Indian universities in computer science or statistics are among the most commonly evaluated and generally accepted.
What is the prevailing wage requirement for sponsored Data Science Analyst 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.