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Wearable Data Science Jobs in California (NOW HIRING)

Hinge Health, Inc

Data Science Manager

San Francisco, CA · On-site

$251K - $376K/yr

We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our ... Experience in Digital Health, MedTech, or Wearables (familiarity with FDA-regulated devices or ...

Fullpower Technologies

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 ...

Fullpower Technologies, Inc.

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 ...

Tarro

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 ...

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 ...

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 ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

... data streams from our custom sensing hardware. You'll play a pivotal role in advancing our ... PhD in computer science, machine learning, computational neuroscience, or related fields (or ...

Apple

Senior Data Engineer, Find My

Cupertino, CA · On-site

$130K - $177K/yr

We thrive in a fast paced environment where team members are often encouraged to wear multiple hats ... You will translate analytics needs from Data Science, Engineering, Product, and Program Management ...

January

Head of Partnerships

Menlo Park, CA

$200K - $300K/yr

... science, and real-world health data to empower individuals to take control of their health. Our flagship January app uses data from continuous glucose monitors, wearables, and food logs to predict ...

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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 California? For Wearable Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Wearable Data Science jobs in California look for? The top searched job categories for Wearable Data Science jobs in California are:
What cities in California are hiring for Wearable Data Science jobs? Cities in California with the most Wearable Data Science job openings:
Wearable Data Science jobs near you
Infographic showing various Wearable Data Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Science Manager

Hinge Health, Inc

San Francisco, CA • On-site

$251K - $376K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

Job description

About the Role
At Hinge Health, we are building a "coherent platform" that seamlessly integrates digital and hybrid care to move people beyond pain. We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our business: Treatment Experience and Hinge Select.
In this role, you will own the data roadmap for our most innovative clinical technologies-including Computer Vision (Motion Insights), the Enso wearable device, and our Rewards & Insights (RAIN) engagement platform. Additionally, you will lead the analytics strategy for Hinge Select, our fast-growing hybrid care offering that connects members with virtual specialists and in-person providers.
What You'll Accomplish
  • Strategic Thought Partnership: Serve as the primary data partner for the Treatment Experience and Hinge Select leadership teams. You will move beyond "service-desk" analytics to proactively identify opportunities (e.g., how to increase CV adoption, optimize Enso utilization, or improve Hinge Select funnel conversion).
  • Team Leadership & Development: Manage, mentor, and grow a team of Data Scientists (currently 4 direct reports). Foster a culture of technical excellence, autonomy, and "radical candor." You will be responsible for their performance management, career growth, and project prioritization.
  • Product Data Quality & Infrastructure: Drive the "Product Data Quality" initiative for your domains. You will oversee the definition of metric frameworks, enforce rigorous instrumentation/taxonomy standards (Mixpanel), and ensure the delivery of trusted, documented dbt data models in Databricks.
  • Experimentation Excellence: Uplevel the rigor and velocity of experimentation within your pods using Statsig. You will guide your team in designing complex experiments (e.g., triggering logic for CV assessments, Enso onboarding flows) and interpreting results to prevent "shipping to learn" without clear hypotheses.
  • 0-to-1 Product Analytics (Hinge Select): Establish the foundational data architecture for Hinge Select. You will work with Engineering to solve complex data ingestion challenges (bridging internal Postgres, 3rd-party claims, and EHR data) to build the first comprehensive view of our hybrid care supply and demand.
  • Cross-Functional Collaboration: Bridge the gap between technical data work and business outcomes. You will ensure your team's work-whether it's a predictive model for M2M referrals or a dashboard for weekly streak adoption-is actionable, accessible, and aligned with company OKRs.
Who You Are
  • A Player-Coach: You thrive in both leading a team and staying close to the technical work, balancing 0-to-1 product launches with the optimization of established technologies.
  • A "Learn-it-all": You constantly test new ideas and are willing to learn and get better, fostering a culture of technical excellence and experimentation.
  • A Trust Builder: You communicate complex technical concepts effectively to non-technical executives and partner closely with Product, Engineering, and Design leadership.
  • Action-Oriented: You bridge the gap between technical data work and business outcomes, ensuring insights are actionable and aligned with company goals.
Basic Qualifications
  • Bachelor's degree in Computer Science or related field, or equivalent professional experience.
  • A minimum of 2-4+ years of experience in Data Science, Product Analytics, or a related technical field.
  • A minimum of 2+ years of people management experience (or 2+ years as a formal Tech Lead with mentorship responsibilities), with a track record of successfully hiring and developing talent.
  • Strong proficiency in SQL and Python for data manipulation and analysis.
  • Deep understanding of experimentation (A/B testing, causal inference) and statistical methods.
  • Experience with modern data stacks: dbt, Databricks (or Snowflake/BigQuery), Airflow, and BI tools like Mode, Tableau, or Looker.
  • Ability to translate complex technical concepts into clear recommendations for non-technical executives.
Preferred Qualifications
  • 4+ years of experience in Data Science, Product Analytics, or a related technical field.
  • 2+ years of people management experience (or 2+ years as a formal Tech Lead with mentorship responsibilities), with a track record of successfully hiring and developing talent.
  • Experience in Digital Health, MedTech, or Wearables (familiarity with FDA-regulated devices or sensor data is a plus).
  • Experience working with Computer Vision or ML-driven product features.
  • Experience in Marketplace or Hybrid Care models (matching supply/demand, provider networks).
  • Familiarity with Statsig for feature gating and experimentation.
Hinge Health Hybrid Model
We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program.
About Hinge Health
At Hinge Health, we're using technology to scale and automate the delivery of healthcare - starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care - from acute injury, to chronic pain, to post-surgical rehabilitation - through personalized, evidence-based care.
As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com
What You'll Love About Us
  • Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn't available where you live.
  • Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
  • Modern life stipends: Manage your own learning and development.
  • Grow with us through discounted company stock through our ESPP with easy payroll deductions.
Culture & Engagement
Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.
By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.
Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com.

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