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Wearable Data Science Jobs (NOW HIRING)

Shaped

Senior Data Scientist

Brooklyn, NY · On-site

$100K - $150K/yr

... data science or solutions architecture role * Proficient with Python, SQL * Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for ...

BillionToOne

Data Scientist, Prenatal

Menlo Park, CA · On-site

... to wear a data engineering hat to land data into our central warehouse, an analytics engineering hat to model, document, and test it, and a data science hat to analyze it, build dashboards, and ...

Bloom Energy

Staff Data Scientist

Fremont, CA

$112K - $161K/yr

Skills and Experience: * Bachelor's degree in data science, statistics, computer science ... Must wear Personal Protective Equipment (PPE) Bloom Energy is an equal opportunity employer and ...

Bloom Energy

Staff Data Scientist

Fremont, CA · On-site

$112K - $161K/yr

Skills and Experience: * Bachelor's degree in data science, statistics, computer science ... Must wear Personal Protective Equipment (PPE) Bloom Energy is an equal opportunity employer and ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

... 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

... 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 · On-site

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

Xealth

Software Engineer, Clinical Data

Seattle, WA

$130K - $156K/yr

You'll apply solid computer science fundamentals to solve complex problems in distributed systems ... wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth ...

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Wearable Data Science information

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 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.

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.

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 cities are hiring for Wearable Data Science jobs? Cities with the most Wearable Data Science job openings:
What states have the most Wearable Data Science jobs? States with the most job openings for Wearable Data Science jobs include:
What job categories do people searching Wearable Data Science jobs look for? The top searched job categories for Wearable Data Science jobs are:
Wearable Data Science jobs near you
Infographic showing various Wearable Data Science job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, and 96% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

Shaped

Brooklyn, NY • On-site

$100K - $150K/yr

Full-time

Posted 27 days ago

Job description

Company Description
Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics.
Ultimately, our goal is to make AI accessible and we see machine-learning for discovery (e.g. TikTok "For-You Page", FB "News feed" and YouTube "What to watch next") as the best place to start.
Shaped is a seed stage start-up backed by top investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc...) and executives (e.g. Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York.
Job Description
We're looking for a Senior Data Scientist to help customers integrate and develop recommendation models using the Shaped Platform. Responsibilities include connecting external data sources to Shaped, creating ranking models with our declarative SQL interface, and helping customers achieve their business objectives.
As a founding Senior Data Scientist, you'll collaborate with a diverse range of customers to solve their ranking challenges. Additionally, you'll contribute to shaping our product roadmaps and engineering culture.
We're excited to work with you. Come build the future of AI with us!
Qualifications
  • Past experience working with recommendation systems in production
  • Bachelor's in computer science, data science or mathematics related field. Master's degree or PhD will be advantageous.
  • 2+ years of industry experience in a software engineering, data science or solutions architecture role
  • Proficient with Python, SQL
  • Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for problem-solving
  • In-depth knowledge of mathematics, statistics and algorithms.
  • Operate well within fast paced, small teams
  • Excellent written and verbal communication skills.

Responsibilities
  • Become an expert at using the Shaped ranking platform
  • Experiment with ranking models for customer's discovery use-cases
  • Analyze data to identify performance improvements for customers' models swiftly
  • Experiment with pre-trained image, language, audio and video embedding models that understand our customer's discovery data
  • Build strong relationships with customers' technical teams and leaders to ensure long-term success with Shaped
  • Deliver technical demos to showcase the Shaped's capabilities to customers.
  • Proactively communicate with customers on timelines, updates and next steps

Additional Information
All your information will be kept confidential according to EEO guidelines.
  • Salary $100K - $150K
  • Equity 0.10% - 0.30%

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