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Wearable Data Science Jobs in Colorado (NOW HIRING)

Ownwell

Property Tax Consultant - Colorado

Denver, CO · On-site

... Data scientists, PhDs, best-in-class customer support representatives, and more to deliver top ... At Ownwell, you will have the opportunity to wear many hats and learn an exorbitant amount. This ...

CoorsTek

R&D Technician II

Golden, CO

Assists in analyzing data, systems, processes, product or equipment, utilizing engineering ... Understands basic ceramic science principles for materials related to assigned projects and ...

CoorsTek, Inc.

R&D Technician II

Golden, CO · On-site

Assists in analyzing data, systems, processes, product or equipment, utilizing engineering ... Understands basic ceramic science principles for materials related to assigned projects and ...

CoorsTek, Inc.

R&D Technician II

Golden, CO · On-site

Assists in analyzing data, systems, processes, product or equipment, utilizing engineering ... Understands basic ceramic science principles for materials related to assigned projects and ...

CoorsTek

R&D Technician II

Golden, CO

Assists in analyzing data, systems, processes, product or equipment, utilizing engineering ... Understands basic ceramic science principles for materials related to assigned projects and ...

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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 are popular job titles related to Wearable Data Science jobs in Colorado? For Wearable Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Wearable Data Science jobs in Colorado look for? The top searched job categories for Wearable Data Science jobs in Colorado are:
What cities in Colorado are hiring for Wearable Data Science jobs? Cities in Colorado with the most Wearable Data Science job openings:
Wearable Data Science jobs near you
Infographic showing various Wearable Data Science job openings in Colorado as of June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Sr Engineer-Advanced Technologies

Paragon 28, Inc.

Englewood, CO

$90K - $135K/yr

Other

Posted 11 days ago

Job description

Zimmer Biomet is a global medical technology leader. Our team members are part of a company with a heritage of leadership, a focus on shaping the future, and a mission dedicated to alleviating pain and improving the quality of life for people around the world.


What You Can Expect

The Senior Engineer plays a pivotal role in advancing innovative solutions within the Advanced Technologies team. This position requires a strong technical foundation and the ability to independently manage significant engineering tasks while contributing to the development of cutting-edge technologies, such as surgical navigation, wearable sensors, and instrumented implants.

The Senior Engineer will lead portions of the development lifecycle, providing technical guidance to less experienced team members, and collaborate with cross-functional teams to deliver impactful solutions that align with Paragon 28's mission.

Successful candidates will bring a mix of:

  • Curiosity for applying data-driven methods to clinical problems
  • Strong software or algorithm development skills
  • Ability to work across hardware, software, and clinical domains
How You'll Create Impact
  • Lead development efforts for key components of advanced technologies, ensuring technical excellence and alignment with project objectives.
  • Assist in defining system requirements, focusing on technical feasibility, data quality/availability, and performance metrics.
  • Collaborate with cross-functional teams, contributing to the design, testing, and deployment of innovative technologies.
  • Mentor and support junior engineers, promoting skill development and knowledge sharing within the team.
  • Develop and document testing protocols, analyze test results, and recommend design improvements.
  • Support ongoing research and development initiatives, exploring new technologies to enhance product capabilities.
Your Background

Education

  • Bachelor's degree in Engineering, Computer Science, or related field, or equivalent practical experience
  • Advanced degree (MS/PhD) focused on Machine Learning, Computer Vision, Data Science, or related field preferred but not required

Experience

  • Minimum of 5+ years of experience in engineering, with demonstrated ownership of technical projects or subsystems
  • Ability to operate independently while contributing to a collaborative, cross-functional environment

Core Capability Areas

Ideal candidates are expected to bring strength in several of the following areas:

  1. Software & Algorithm Development
    1. Proficiency in Python, MATLAB, C++, or similar
    2. Experience developing algorithms for data processing, computational modeling, or systems control
  2. Machine Learning & Computer Vision
    1. Experience applying ML/CV techniques to real-world problems
    2. Familiarity with model development, evaluation, and deployment
  3. Data & Statistical Analysis
    1. Experience with statistical modeling, data analysis, and performance evaluation
    2. Ability to work with real-world datasets (noisy, incomplete, clinical, etc.)
  4. Systems & Product Integration
    1. Experience working within larger systems (e.g., surgical navigation, sensors, wearables, or similar)
    2. Understanding of how software integrates with hardware and/or clinical workflows
  5. Medical Device Product Development
    1. Proficiency in CAD software (Solidworks, 3-Matic, Fusion 360)
    2. Experience in requirements-based product development

Additional Strengths

  • Experience in medical devices, imaging, or regulated environments
  • Exposure to signal processing, biomechanics, or sensor data
  • Ability to lead portions of complex projects independently while contributing to the broader team's success.
  • Experience mentoring and coaching junior engineering teams
Travel Expectations

Up to 10% overnight travel may be required.

Compensation Data

Salary: $90,000 - $135,000 USD annually plus bonus eligibility


EOE

Employment Type: OTHER

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