Senior Data Science Engineer Jobs in USA with Visa Sponsorship
Senior Data Science Engineer roles are among the most actively sponsored positions in the U.S. tech industry. Employers routinely file H-1B visa petitions for this title, and the specialty occupation requirement is straightforward to satisfy with a degree in computer science, statistics, 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 4,310+ Senior Data Science Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Data Science Engineer
Lead with your technical stack, not just your title
Sponsors evaluate Senior Data Science Engineers on specific tools: PyTorch, TensorFlow, Spark, and SQL pipelines carry more weight than a generic resume. Listing exact frameworks signals you can contribute immediately and reduces employer hesitation around sponsorship cost.
Target companies with an established H-1B track record
Large tech firms and data-intensive companies in finance, healthcare, and logistics file H-1B petitions annually for this role. Focusing your search on employers with prior sponsorship history dramatically improves your odds of receiving and successfully completing an offer with visa support.
Clarify your OPT or current status early in conversations
Employers sponsor more readily when they understand your timeline. If you have STEM OPT remaining, say so upfront. It shows the employer has up to three years before H-1B sponsorship becomes necessary, which lowers their perceived risk and urgency considerably.
Quantify business impact, not just model accuracy
Hiring managers sponsoring senior roles want proof of ROI. Frame your experience around revenue protected, cost reduced, or decisions improved by your models. Concrete business outcomes make sponsorship feel like an investment with a clear return, not an administrative burden.
Understand the specialty occupation standard for your exact role
H-1B approval hinges on demonstrating your position requires a specific bachelor's degree or higher. For Senior Data Science Engineers, a degree in statistics, computer science, mathematics, or data science satisfies this cleanly. Roles blending general management duties can face added scrutiny from USCIS.
Use Migrate Mate to find roles that explicitly sponsor
Filtering for verified sponsoring employers saves weeks of guesswork. Migrate Mate surfaces Senior Data Science Engineer roles from companies actively willing to file H-1B or other work visa petitions, so you spend your time applying where sponsorship is already on the table.
Frequently Asked Questions
Does a Senior Data Science Engineer role qualify as an H-1B specialty occupation?
Yes, consistently. USCIS treats Senior Data Science Engineer as a specialty occupation because the position normally requires a bachelor's degree or higher in a specific technical field such as computer science, statistics, applied mathematics, or data science. The direct relationship between the degree field and the job duties is well-established, which means RFEs on specialty occupation grounds are less common for this title than for more generalist roles.
What degree do I need for an employer to sponsor my H-1B as a Senior Data Science Engineer?
A bachelor's degree or higher in computer science, statistics, mathematics, data science, or a closely related quantitative field satisfies the H-1B visa educational requirement for this role. Degrees in adjacent fields like electrical engineering or operations research can also qualify if your coursework covered statistical modeling or machine learning. A three-year Australian or Indian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, though some USCIS adjudicators may request a credential evaluation for clarity.
Which visa types are realistic for Senior Data Science Engineers seeking U.S. sponsorship?
The H-1B is the most common path and requires winning the annual lottery, which selects roughly 25% of registrations. Australians can pursue the E-3 visa, which has no lottery and processes faster. Canadians and Mexicans qualify for the TN visa under the USMCA. Candidates with a demonstrated record of exceptional research or industry impact may qualify for the O-1A, which is cap-exempt and bypasses the lottery entirely. Migrate Mate lists roles by visa type so you can filter for employers open to your specific status.
Do large tech companies sponsor Senior Data Science Engineers more reliably than startups?
Generally, yes. Companies like Amazon, Google, Microsoft, and Meta have dedicated immigration teams, established relationships with immigration law firms, and predictable annual H-1B filing cycles. Startups can and do sponsor, but they face tighter cash constraints and sometimes lack internal expertise to manage the process. Mid-size companies with 500 or more employees and an existing engineering org tend to be the most reliable sponsors outside of major tech firms, since they have legal infrastructure without the bureaucracy that slows larger organizations.
Can I switch employers between the H-1B lottery and my start date without losing my status?
If your H-1B was approved and you're already working in H-1B status, you can transfer to a new employer under H-1B portability once the new employer files a transfer petition. However, if you won the lottery but your start date hasn't arrived yet, you're not yet in H-1B status and cannot use portability. In that scenario, switching employers requires the new employer to either file a cap-exempt petition if they qualify, or register you in the next lottery cycle.
What is the prevailing wage requirement for sponsored Senior Data Science Engineer 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.