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Wearable Data Science Jobs in California (NOW HIRING)

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... wearable, and wellness services. Fullpower is seeking a passionate, team-oriented, and self ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

... wearable, and wellness services. Fullpower is seeking a passionate, team-oriented, and self ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Data Scientist

San Mateo, CA · On-site

$180K - $250K/yr

... wear many hats to uncover patterns, optimize decision-making, and solve high-impact business challenges. What you will accomplish: * You will be responsible for owning entire data science model ...

Doctorate degree in sensor analytics, atmospheric science, or applied data science ...OR Master ... No physical limitations to wear personal protective equipment (PPE), including respirators when ...

Data Scientist, Sensors

San Jose, CA · On-site

$155K - $232K/yr

Doctorate degree in sensor analytics, atmospheric science, or applied data science ...OR Master ... No physical limitations to wear personal protective equipment (PPE), including respirators when ...

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 ...

... 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 ...

Data Scientist

Torrance, CA · On-site

$170K - $300K/yr

The Role This is the modeling half of manufacturing data science at Hadrian. The factory turns ... wear, quality, and triage risk from the parts like it, before the first chip is cut. The work spans ...

Data Scientist

Los Angeles, CA · On-site

$170K - $300K/yr

The Role This is the modeling half of manufacturing data science at Hadrian. The factory turns ... wear, quality, and triage risk from the parts like it, before the first chip is cut. The work spans ...

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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 California?

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

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

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

Infographic showing various Wearable Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Santa Cruz, CA • Remote

Fullpower Technologies
Medical Equipment and Supplies Manufacturing • 51 - 200 employees

$130K - $170K/yr

Full-time

Re-posted 13 days ago


Job description

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:

  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:

  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:

  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:

  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.
Employment Type: Full-Time