Data Science Engineer Jobs at Whoop with Visa Sponsorship
Whoop builds its data science function around wearable health metrics and physiological research, so Data Science Engineer roles here sit at the intersection of applied ML and biomedical signal processing. Whoop has a consistent track record of sponsoring international talent across multiple visa categories for this function.
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INTRODUCTION
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking an exceptional multi-disciplined Staff R&D engineer. As a key member of our Electrical Engineering team within the hardware organization, you will be working at the intersection of data and design, using advanced analytics to influence product strategy and technical decision-making. Our hardware team thrives on rapid prototyping and data-driven insights, so hands-on experimentation and a keen ability to extract meaningful conclusions from complex datasets are essential. If you're passionate about using data to shape the future of wearable technology, we want you on our team.
Responsibilities
- Advanced Development Projects: Spearhead early-stage design and development of biometric wearable devices, using data analytics to guide decision-making and determine success criteria.
- Data-Driven System Validation: Design and execute system-level validation protocols, utilizing engineering fundamentals combined with statistical methods to ensure optimal performance in real-world scenarios.
- Advanced Data Processing & Statistical Techniques: Use Python and other statistical tools to process large data sets, conduct feasibility testing, and inform engineering design decisions.
- Circuit Design & Simulation: Apply an understanding of circuit design principles and tools like SPICE for designing and validating hardware circuits in wearable technology systems.
- Prototyping & Functional Verification: Test and validate hardware prototypes for in-depth functional testing, utilizing a variety of lab equipment for debugging and analysis.
- Test Design & Failure Investigation: Define system requirements and develop test strategies, analyzing test data to ensure validation. Lead failure investigations using data to identify root causes and improve designs.
- Cross-Functional Collaboration: Partner with teams across hardware, software, data science, and product to shape development strategies, ensuring data insights drive both technical and strategic decisions.
- Stakeholder Engagement: Collaborate with external partners, suppliers, and contract manufacturers to ensure successful development and scale-up of products. Up to 10% travel, both domestically and internationally.
BASIC QUALIFICATIONS
- Educational Background: BS or higher in Electrical Engineering, Computer Science, Mathematics, Statistics, or a related field.
- Experience: 7+ years of experience
- Problem-Solving Expertise: Strong ability to apply data analytics to solve complex engineering challenges and propose creative, data-driven solutions.
- Statistical Skills: Proficiency in applying advanced statistical techniques, particularly in time-series data analysis, using Python or similar tools (e.g., Minitab).
- Hands-On Engineering: Experience with hardware prototyping and debugging, utilizing lab equipment such as oscilloscopes, multimeters, and impedance analyzers.
- Circuit Design Expertise: Solid understanding of circuit design principles
- Software & Code Management: Experience maintaining and improving live code for hardware systems, including logging, monitoring, and debugging in development environments.
LOCATION
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $165,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

INTRODUCTION
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking an exceptional multi-disciplined Staff R&D engineer. As a key member of our Electrical Engineering team within the hardware organization, you will be working at the intersection of data and design, using advanced analytics to influence product strategy and technical decision-making. Our hardware team thrives on rapid prototyping and data-driven insights, so hands-on experimentation and a keen ability to extract meaningful conclusions from complex datasets are essential. If you're passionate about using data to shape the future of wearable technology, we want you on our team.
Responsibilities
- Advanced Development Projects: Spearhead early-stage design and development of biometric wearable devices, using data analytics to guide decision-making and determine success criteria.
- Data-Driven System Validation: Design and execute system-level validation protocols, utilizing engineering fundamentals combined with statistical methods to ensure optimal performance in real-world scenarios.
- Advanced Data Processing & Statistical Techniques: Use Python and other statistical tools to process large data sets, conduct feasibility testing, and inform engineering design decisions.
- Circuit Design & Simulation: Apply an understanding of circuit design principles and tools like SPICE for designing and validating hardware circuits in wearable technology systems.
- Prototyping & Functional Verification: Test and validate hardware prototypes for in-depth functional testing, utilizing a variety of lab equipment for debugging and analysis.
- Test Design & Failure Investigation: Define system requirements and develop test strategies, analyzing test data to ensure validation. Lead failure investigations using data to identify root causes and improve designs.
- Cross-Functional Collaboration: Partner with teams across hardware, software, data science, and product to shape development strategies, ensuring data insights drive both technical and strategic decisions.
- Stakeholder Engagement: Collaborate with external partners, suppliers, and contract manufacturers to ensure successful development and scale-up of products. Up to 10% travel, both domestically and internationally.
BASIC QUALIFICATIONS
- Educational Background: BS or higher in Electrical Engineering, Computer Science, Mathematics, Statistics, or a related field.
- Experience: 7+ years of experience
- Problem-Solving Expertise: Strong ability to apply data analytics to solve complex engineering challenges and propose creative, data-driven solutions.
- Statistical Skills: Proficiency in applying advanced statistical techniques, particularly in time-series data analysis, using Python or similar tools (e.g., Minitab).
- Hands-On Engineering: Experience with hardware prototyping and debugging, utilizing lab equipment such as oscilloscopes, multimeters, and impedance analyzers.
- Circuit Design Expertise: Solid understanding of circuit design principles
- Software & Code Management: Experience maintaining and improving live code for hardware systems, including logging, monitoring, and debugging in development environments.
LOCATION
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $165,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Whoop Jobs
Frame your portfolio around physiological data
Whoop's data science work centers on time-series biosignal analysis, recovery modeling, and wearable sensor data. Portfolios that demonstrate experience with this type of structured health or sensor data signal direct role fit and make visa sponsorship conversations easier to justify internally.
Research Whoop's DOL labor condition applications
DOL's public LCA disclosure data shows the job titles and wage levels Whoop has certified for sponsored roles. Cross-referencing your target title against those filings helps you understand how Whoop classifies data science positions and whether your experience aligns with their certified specialty occupation definitions.
Prepare for a technical screen heavy on ML pipelines
Whoop's Data Science Engineer interviews assess end-to-end pipeline work, not just modeling. Be ready to discuss how you've built, monitored, and deployed models in production, since USCIS specialty occupation standards require demonstrating that the role demands a specific theoretical and applied degree background.
Align your H-1B filing timeline with the April lottery
H-1B petitions must be submitted in early April for an October 1 start date. If you receive an offer, confirm with Whoop's HR team whether they use premium processing through USCIS, which reduces the adjudication window from several months to around 15 business days.
Use Migrate Mate to filter open roles by visa type
Whoop posts Data Science Engineer openings at varying seniority levels throughout the year. Use Migrate Mate to filter Whoop's active listings by the visa categories they sponsor, so you can prioritize applications that match your current immigration status and timeline.
Data Science Engineer at Whoop jobs are hiring across the US. Find yours.
Find Data Science Engineer at Whoop JobsFrequently Asked Questions
Does Whoop sponsor H-1B visas for Data Science Engineers?
Yes, Whoop sponsors H-1B visas for Data Science Engineer roles. The company has an established pattern of filing petitions for technical positions in its data science function. Because H-1B petitions are subject to the annual lottery and must be filed in April for an October start, you'll need an offer in hand well before that window opens.
Which visa types are commonly used for Data Science Engineer roles at Whoop?
Whoop sponsors H-1B, F-1 OPT, F-1 CPT, and TN visas for Data Science Engineer roles. F-1 OPT is the most common entry point for recent graduates, with H-1B sponsorship following for longer-term employment. Canadian and Mexican nationals with qualifying degrees in computer science, statistics, or a related field may also be eligible for TN status without the lottery.
How do I apply for Data Science Engineer jobs at Whoop?
Applications go through Whoop's careers page, where roles are listed by team and seniority level. Migrate Mate aggregates Whoop's open Data Science Engineer positions and filters them by visa sponsorship type, which makes it straightforward to identify listings that match your current status before you apply. Tailor your application to Whoop's wearable health and biosignal research focus.
What qualifications does Whoop expect for Data Science Engineer roles?
Whoop's Data Science Engineer roles typically require a bachelor's degree or higher in computer science, statistics, applied mathematics, or a closely related field, which also satisfies USCIS specialty occupation requirements for H-1B petitions. Hands-on experience with time-series modeling, ML pipeline development, and working with sensor or physiological data strengthens your candidacy significantly beyond the baseline degree requirement.
How do I time my application if my OPT authorization is running low?
If you have fewer than 12 months of OPT remaining, confirm your STEM OPT extension eligibility immediately since it adds 24 months. File the extension with USCIS at least 90 days before your current EAD expires. This buffer gives Whoop enough lead time to sponsor an H-1B petition in the next April filing window without a gap in your work authorization.
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