Data Science Engineer Jobs in USA with Visa Sponsorship
Data Science Engineer 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 positions require a master's degree in a quantitative field, and specialty occupation approval rates are high given the degree-specific nature of the work. For detailed occupation requirements, see the O*NET profile.
Find Data Science Engineer JobsOverview
Showing 5 of 4,304+ Data Science Engineer jobs
See all 4,304+ Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer roles.
Get Access To All JobsAbout 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.
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 4,304+ Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Engineer
Target companies with a proven H-1B filing history
Large tech employers and data-driven firms file hundreds of H-1B petitions annually for data science roles. Focusing your search on companies with consistent filing histories significantly improves your odds of securing sponsorship without resistance.
Lead with your quantitative degree when applying
USCIS grants H-1B specialty occupation status most readily when your degree field directly matches the role. A degree in statistics, computer science, or applied mathematics strengthens your petition before it even reaches an adjudicator's desk.
Frame your experience around specific technical domains
Employers sponsoring Data Science Engineers want candidates with depth in machine learning, NLP, or data pipeline engineering, not generalists. Tailoring your resume to a specific technical domain makes the specialty occupation argument in your petition far more defensible.
Understand the H-1B lottery timing before accepting an offer
H-1B registrations open in March for an October 1 start date. If you receive an offer outside that window, ask your employer about cap-exempt options or whether they can structure a start date around the next lottery cycle.
Ask about O-1A eligibility if you have a strong research profile
Data Science Engineers with published research, conference presentations, or high citation counts may qualify for the O-1A visa, which bypasses the H-1B lottery entirely. It's worth discussing with an immigration attorney before defaulting to H-1B.
Use Migrate Mate to find roles explicitly open to sponsorship
Many job postings don't advertise sponsorship availability, making it hard to know where to apply. Migrate Mate filters for employers actively willing to sponsor, so you're not wasting applications on companies that won't support your visa.
Frequently Asked Questions
Do Data Science Engineer roles qualify for H-1B sponsorship?
Yes, Data Science Engineer is a strong fit for H-1B visa specialty occupation classification. USCIS consistently approves petitions for this title when the employer can demonstrate the role requires a bachelor's degree or higher in a specific field such as statistics, computer science, or data science. Approval rates for data-focused engineering roles are among the highest across technical occupations.
What degree do I need for a Data Science Engineer visa sponsorship?
Most employers sponsoring Data Science Engineers require at least a bachelor's degree in computer science, statistics, mathematics, or a closely related quantitative field. A master's degree is increasingly common at larger tech firms and substantially strengthens the specialty occupation argument in your H-1B petition. Degrees in unrelated fields, even with strong work experience, can complicate approval.
Can I get sponsored as a Data Science Engineer without winning the H-1B lottery?
There are a few paths. If you're currently on OPT or STEM OPT, your employer can employ you while registrations and petitions are processed. Some employers are cap-exempt, meaning they can file H-1B petitions year-round without lottery participation. Data Science Engineers with exceptional research records may also qualify for the O-1A, which has no cap or lottery requirement.
Are smaller startups likely to sponsor Data Science Engineers?
Some do, but the willingness varies significantly. Early-stage startups often lack the legal infrastructure for H-1B sponsorship, while Series B and later-stage companies with established HR functions are more likely to support it. The most reliable approach is filtering specifically for sponsorship-willing employers. Migrate Mate is built for exactly this, showing you data science roles where employers have indicated openness to sponsoring candidates.
Does a three-year bachelor's degree qualify for Data Science Engineer sponsorship?
It depends on the evaluation. USCIS requires a U.S.-equivalent four-year bachelor's degree for H-1B specialty occupation. A three-year degree from Australia, India, or the UK may qualify if a credential evaluation agency concludes it's equivalent, often when combined with relevant postgraduate study or significant professional experience. An immigration attorney can advise whether your specific degree and experience combination is strong enough to support a petition.
What is the prevailing wage requirement for sponsored 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.