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Wearable Data Science Jobs (NOW HIRING)

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

New

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

New

Data Scientist - Palantir Developer

Phoenix, AZ ยท On-site

$110K - $187K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

New

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

New

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

New

Data Scientist, Sensors

San Jose, CA ยท 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 ...

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 ...

... 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 ...

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 ...

Staff Data Scientist

Fremont, CA ยท 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 ...

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

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

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

Showing results 41-60

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.
More about Wearable Data Science jobs
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:
Infographic showing various Wearable Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist - Palantir Developer

KLA Corporation

Milpitas, CA โ€ข On-site

$110K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking a highly motivated Data Scientist with hands-on experience developing solutions in Palantir Foundry. This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering.

The successful candidate will work directly with business stakeholders to understand operational challenges, gather requirements, translate business processes into Foundry solutions, and develop scalable analytics, applications, and AI-enabled workflows. This individual must be comfortable working independently, driving discussions with business partners, and delivering solutions from concept to deployment.

  • Partner directly with business stakeholders to gather, document, and refine business requirements.

  • Translate business processes and operational needs into scalable Palantir Foundry solutions.

  • Design and develop Foundry-native applications using Workshop, enabling business users to interact with data, workflows, and operational processes.

  • Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications, and operational workflows.

  • Build analytical models, dashboards, and data products that enable business decision-making.

  • Support AI and machine learning use cases within the Foundry ecosystem.

  • Collaborate with cross-functional teams including business users, IT, data engineers, and other Foundry developers.

  • Perform data validation, troubleshooting, testing, and root cause analysis.

  • Drive projects independently while effectively managing stakeholder expectations and timelines.

  • Create and maintain technical and functional documentation.

  • Promote best practices for data governance, solution design, and Foundry development.

Minimum Qualifications

  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.

  • 2+ years of hands-on Palantir Foundry development experience.

  • Maximum 5 years of total professional experience in Data Analytics, Data Science, Data Engineering, or related fields.

  • Experience building data pipelines, transformations, and operational applications in Foundry.

  • Strong SQL skills and experience working with large datasets.

  • Experience using Python for data analysis, automation, or machine learning.

  • Strong understanding of data modeling and business process transformation.

  • Demonstrated ability to work independently with business stakeholders.

  • Excellent communication, facilitation, and requirements gathering skills.

  • Ability to convert ambiguous business problems into technical solutions.

Base Pay Range: $110,000.00 - $187,000.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.