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Wearable Data Science Jobs in Boston, MA (NOW HIRING)

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

These models integrate data across wearable sensors, language, biomarkers, clinical information ... You'll collaborate closely with data scientists, ML engineers, and cross-functional partners to ...

WHOOP

Software Engineer I (Backend)

Boston, MA · On-site

... Design, Data Science, and Engineering to translate requirements into well-scoped technical ... Company : WHOOP provides wearable fitness technology and a subscription platform that tracks ...

WHOOP

Software Engineer I (Backend)

Boston, MA · On-site

... Design, Data Science, and Engineering to translate requirements into well-scoped technical ... Company : WHOOP provides wearable fitness technology and a subscription platform that tracks ...

WHOOP

Senior Business Analyst (Platform)

Boston, MA · On-site

$100K - $129K/yr

... Data Science, or a related field. • Strong track record delivering value in an analytics ... Company : WHOOP provides wearable fitness technology and a subscription platform that tracks ...

WHOOP

Senior Product Manager, Core Product

Boston, MA · On-site

$137K - $181K/yr

... data science on technical tradeoffs • Demonstrated comfort with and usage of AI-assisted ... WHOOP provides wearable fitness technology and a subscription platform that tracks physiological ...

Nocturnal Inc.

Head of Engineering

Cambridge, MA · On-site

... data science, machine learning, or signal processing Company : Nocturnal is developing active sleep interventions using wearable neurotechnology. Founded in 2024, the company is headquartered in ...

WHOOP

Technical Lead, ML Operations

Boston, MA · On-site

... cross-functionally with Data Science, AI, Product, and Engineering to translate ambiguous ... Company : WHOOP provides wearable fitness technology and a subscription platform that tracks ...

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All JobsWearable Data Science JobsWearable Data Science Jobs in Boston, MA

Wearable Data Science information

What is wearable data science?

Wearable data science is a field focused on analyzing and interpreting data collected from wearable devices such as smartwatches, fitness trackers, and health monitors. Professionals in this area develop methods to process large volumes of sensor data to gain insights into health, activity, and behavior patterns. The insights can be used to improve health outcomes, enhance user experiences, and support research in various domains including healthcare, sports, and consumer technology.

How do wearable data scientists typically collaborate with hardware engineers and software developers during product development?

Wearable data scientists work closely with hardware engineers to understand sensor specifications and data collection constraints, ensuring that the data is accurate and usable for analysis. They also collaborate with software developers to integrate data processing algorithms into wearable devices or companion apps, often providing feedback on data flow, storage, and real-time analytics. This cross-functional teamwork is essential for developing robust products that deliver actionable insights to users and meet technical requirements.

What are the key skills and qualifications needed to thrive as a wearable data scientist, and why are they important?

To thrive as a Wearable Data Scientist, you need a solid background in data analysis, statistics, machine learning, and a relevant degree in fields like computer science, engineering, or data science. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of wearable sensor platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights. These skills are vital for developing accurate models and delivering meaningful results that drive innovation in wearable technology.

What is the difference between Wearable Data Science vs Wearable Data Analyst?

AspectWearable Data ScienceWearable Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization tools
Work EnvironmentResearch labs, tech companies, healthcare startupsHealthcare providers, fitness companies, wearable device firms
Employer & Industry UsageDevelops algorithms, models, and wearable tech innovationsAnalyzes wearable data to inform decisions, improve products, and report findings

Wearable Data Science focuses on developing algorithms and models to interpret wearable device data, often involving machine learning. Wearable Data Analysts interpret and visualize this data to support business or healthcare decisions. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are popular job titles related to Wearable Data Science jobs in Boston, MA?

For Wearable Data Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Wearable Data Science jobs in Boston, MA look for?

The top searched job categories for Wearable Data Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Wearable Data Science jobs?

Cities near Boston, MA with the most Wearable Data Science job openings:

Wearable Data Science jobs near you
Infographic showing various Wearable Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 4% Internship, 67% Full Time, 26% Part Time, and 3% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Senior AI/ML Researcher (Foundation AI)

Whoop

Boston, MA • On-site

$190K - $230K/yr

Full-time

Re-posted 13 hours ago

Job description

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.
We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP's next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.
In this role, you'll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.
RESPONSIBILITIES:
  • Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
  • Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP's core model capabilities.
  • Develop scalable, distributed training pipelines for large models on high-performance compute environments.
  • Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
  • Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
  • Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
  • Ensure models adhere to WHOOP's standards for ethical, transparent, and privacy-preserving AI.

QUALIFICATIONS:
  • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
  • 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
  • Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with training models on mulit-node, multi-gpu distributed compute environments.
  • Familiarity with best practices for data, model, and context parallelisms.
  • Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
  • Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).
  • Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
  • Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
  • Passion for WHOOP's mission to improve human performance and extend healthspan through science and technology.

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 $190,000 - $230,000. 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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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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