Senior Staff Data Scientist Jobs in USA with Visa Sponsorship
Senior Staff Data Scientists are among the most consistently sponsored roles in tech, with H-1B visa approvals running well above the field average. Employers filing LCAs for this title span cloud platforms, financial services, and health tech, and many petition at the senior level without lottery concerns via cap-exempt routes. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
What you'll do:
- Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
- Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.
- Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
- Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.
- Drive broader time‑series impact beyond point forecasts—e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health.
- Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.
- Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.
What we're looking for:
- 8+ years of combined post-graduate academic and industry experience building and shipping production time-series/forecasting models with web-scale data.
- Bachelor's degree in a relevant field such as Computer Science or equivalent experience.
- A track record of delivering adjustable, well-calibrated, and explainable forecasting systems that inform decision-making.
- Strong background in time-series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
- Expertise in at least one scripting language (ideally Python).
- Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).
- Business acumen and ownership mindset—able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
- Excellent communication skills—able to distill complex analyses and uncertainty into concise narratives for executive audiences.
- Proven technical leadership—success leading critical projects and materially influencing the scope and output of other contributors.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
What you'll do:
- Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
- Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.
- Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
- Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.
- Drive broader time‑series impact beyond point forecasts—e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health.
- Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.
- Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.
What we're looking for:
- 8+ years of combined post-graduate academic and industry experience building and shipping production time-series/forecasting models with web-scale data.
- Bachelor's degree in a relevant field such as Computer Science or equivalent experience.
- A track record of delivering adjustable, well-calibrated, and explainable forecasting systems that inform decision-making.
- Strong background in time-series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
- Expertise in at least one scripting language (ideally Python).
- Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).
- Business acumen and ownership mindset—able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
- Excellent communication skills—able to distill complex analyses and uncertainty into concise narratives for executive audiences.
- Proven technical leadership—success leading critical projects and materially influencing the scope and output of other contributors.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
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Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Staff Data Scientist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Staff Data Scientist
Target cap-exempt employers first
Universities, nonprofit research institutions, and affiliated teaching hospitals are exempt from the H-1B lottery. Senior Staff Data Scientists hired there skip the annual cap entirely, which eliminates the biggest uncertainty in the sponsorship timeline.
Align your degree to the role explicitly
USCIS requires a specialty occupation match. Statistics, computer science, mathematics, and applied ML degrees map cleanly. If your degree is in a different field, document how your coursework and industry experience directly support the data science function.
Ask about O-1A eligibility if you have a strong publication or patent record
Senior Staff scientists with published research, patents, or awards in machine learning or AI may qualify for O-1A extraordinary ability status. This visa has no lottery, no annual cap, and no nationality restrictions, making it a strong parallel path.
Prioritize employers with an established LCA filing history
Companies that have consistently filed Labor Condition Applications for data science roles already have internal sponsorship infrastructure. This shortens the process significantly compared to employers filing for the first time on your behalf.
Use Migrate Mate to filter for roles that explicitly support sponsorship
Filtering for Senior Staff Data Scientist roles with confirmed sponsorship on Migrate Mate removes the guesswork of cold applications. You can focus outreach on employers already prepared to file, which saves weeks in the job search process.
Frequently Asked Questions
Is Senior Staff Data Scientist a specialty occupation for H-1B purposes?
Yes. Senior Staff Data Scientist consistently meets the USCIS specialty occupation standard because the role normally requires at least a bachelor's degree in a specific technical field such as statistics, computer science, or applied mathematics. USCIS has approved thousands of H-1B visa petitions for data science titles at the senior level, and approval rates for this category run well above the overall H-1B average.
Which visa types do employers most commonly use to sponsor Senior Staff Data Scientists?
H-1B is the most common path, filed by employers after winning the annual lottery or through a cap-exempt institution. O-1A is increasingly used for scientists with strong research or publication records. Australians may qualify for the E-3 visa, which has no lottery. Canadians and Mexicans may qualify under the TN visa classification for computer systems analysts, though the TN match requires careful documentation at the senior staff level.
Does a three-year bachelor's degree qualify for H-1B sponsorship in this role?
It can, but it requires additional documentation. USCIS accepts three-year degrees from countries like Australia or India when combined with a credential evaluation confirming U.S. equivalency and relevant post-degree experience. Many employers working with senior hires have navigated this before, but you should confirm the employer's immigration counsel is familiar with three-year degree petitions before relying on this path.
How long does H-1B sponsorship typically take for this role?
Standard processing runs three to six months after USCIS receives the petition. Premium processing reduces USCIS adjudication to 15 business days for an additional fee, which most employers sponsoring senior technical hires will pay. Add two to four weeks for the employer to prepare the LCA and petition package before filing. If you're starting from outside the U.S., add consular appointment wait times on top of that.
Where can I find Senior Staff Data Scientist jobs that already sponsor visas?
Migrate Mate lists Senior Staff Data Scientist roles filtered specifically for visa sponsorship, so you're not sifting through postings that exclude international candidates. Employers on Migrate Mate have either confirmed sponsorship willingness or have an active LCA filing history for comparable roles, which means the outreach you do is far more likely to result in a real sponsorship conversation.
What is the prevailing wage requirement for sponsored Senior Staff Data Scientist 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.