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Wearable Data Science Jobs in Massachusetts (NOW HIRING)

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... wearable sensors, predicting causality markers for diseases, developing foundation models, and ... Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... wearable sensors, predicting causality markers for diseases, developing foundation models, and ... Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... wearable sensors, predicting causality markers for diseases, developing foundation models, and ... Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific ...

Catapult Sports

Senior Software Engineer (Golang)

Boston, MA · On-site

$133K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our technology brings together wearable data, digital video and athlete information to help coaches, sports scientists, performance staff and athletes understand what is happening, make better ...

Catapult Sports

Senior Software Engineer (Golang)

Boston, MA · On-site

$133K - $175K/yr

Our technology brings together wearable data, digital video and athlete information to help coaches, sports scientists, performance staff and athletes understand what is happening, make better ...

Catapult Sports

Senior Software Engineer (Golang)

Boston, MA · On-site

$133K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our technology brings together wearable data, digital video and athlete information to help coaches, sports scientists, performance staff and athletes understand what is happening, make better ...

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All JobsWearable Data Science JobsWearable Data Science Jobs in Massachusetts

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 Massachusetts?

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

What job categories do people searching Wearable Data Science jobs in Massachusetts look for?

The top searched job categories for Wearable Data Science jobs in Massachusetts are:

What cities in Massachusetts are hiring for Wearable Data Science jobs?

Cities in Massachusetts with the most Wearable Data Science job openings:

Wearable Data Science jobs near you
Infographic showing various Wearable Data Science job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Science Intern

Plymouth Rock Assurance Corporation

Boston, MA

$25 - $30/hr

Internship

Re-posted 16 days ago

Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

108th of 310 rated insurance

Job description

Data Science Internship/Co-Op - Fall Starting September 2026 - Position is in-office, Boston MA

This position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for research and development of new predictive models and new analytical techniques around insurance pure premiums, customer lifetime value, customer buying behaviors and other related topics utilizing internal and external data. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.

Essential Functions and Responsibilities:

Data Analysis:

The Data Science Intern/co-op will work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value. This will require that the Intern acquires an understanding of various internal and external data sources, is able to illicit hypothesis from internal personnel regarding key variables and test those hypotheses using available data.

Modeling:

The Data Science Intern/co-op will help develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock. The Intern/Co-op will be responsible for advancing the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.

Implementation:

The Data Science Intern/co-op will work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts within which we operate. This will include ensuring that models are well understood, the implications are appropriately assessed, implementation plans are defined, validation of results are undertaken, and adjustments are made rapidly.

Qualifications:

  • Graduate Student from a program (doctoral preferred) in the areas of economics, statistics, or a related field (background in Bayesian statistics preferred).
  • Practical experience in Econometrics and Statistics, preferably in a business context.
  • Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences.
  • High standards for the work products delivered.
  • Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
  • Flexibility and resiliency characteristic of a professional.
  • Knowledge of, and experience with, the technical aspect of insurance is a plus.
  • Proficiency with modeling programming language (SQL, R, SAS, Python).

Why work for us:

  • Friendly and collaborate work culture
  • Free On-site gym access
  • Free Coffee and Snacks
  • Company social events
  • Lunch and Learn Leadership program
  • Business Casual (Can wear jeans and sneakers!)
  • Convenient Location - across from South Station!

Pay Rate:The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.

About the Company:

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts.Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent".

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What Plymouth Rock Assurance employees say

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