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Wearable Data Science Jobs in Georgia (NOW HIRING)

Early Career Environmental Scientist

Kennesaw, GA · On-site

$69K - $91K/yr

Prepare data and visualizations such as tables, charts, reports, models, cross-sections, boring ... Must be able to pass a HAZWOPER physical and be medically able to wear a tight-fitting respirator ...

Prepare data and visualizations such as tables, charts, reports, models, cross-sections, boring ... Must be able to pass a HAZWOPER physical and be medically able to wear a tight-fitting respirator ...

Director of Software

Atlanta, GA

$243K/yr

... wearable assistive technologies for research laboratories, clinicians, and patients. We have been ... Work with scientists, researchers, clinicians, patients, caregivers, and end-users to improve ...

Director of Software

Atlanta, GA · On-site

$243K/yr

... wearable assistive technologies for research laboratories, clinicians, and patients. We have been ... data acquisition, managing settings, and calibration of the system • Create a testing process ...

Machine Operator- Lilburn, GA

Lilburn, GA · On-site

$15.50 - $18.50/hr

Record production data and maintain logs * Adhere to safety protocols and wear appropriate ... Familiarity with metallurgy and material science principles * Technical or vocational training in ...

Conduct tests in the field or laboratory to obtain data for use by engineering and scientific ... to wear a respirator, as required * Completion of annual or bi-annual employment physical, as ...

Quality Control Operator

Port Wentworth, GA · On-site

$16.25 - $19.75/hr

Also responsible for data entry into the SAP system to maintain data for traceability and safety ... Bachelor's degree in science related field. * Minimum of 2 year of experience working in analytical ...

... specializing in wearable biosensor devices and cloud-based data analytic solutions. Zywie ... Bachelor's degree (in Business or Life Sciences). * Comfortable in ambiguous environments. * Must ...

... Data Collection Tooling: Identify Tooling damage and wear. Clean and return to stock all used ... science capabilities. We drive innovation and enhance performance, finding potential in the ...

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Showing results 1-20

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 Georgia? For Wearable Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Wearable Data Science jobs in Georgia look for? The top searched job categories for Wearable Data Science jobs in Georgia are:
Infographic showing various Wearable Data Science job openings in Georgia as of June 2026, with employment types broken down into 2% As Needed, 93% Full Time, and 5% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Associate Director, Engineering Sciences - BioMechanics

Associate Director, Engineering Sciences - BioMechanics

Secretariat

Atlanta, GA • On-site

Full-time

Posted 29 days ago


Job description

Chart Your Journey at Secretariat
From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat.
ABOUT THE FIRM
Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world.
When you join Secretariat, you become part of a rapidly growing elite team of bright minds and passionate problem-solvers. Your skills and expertise will be utilized on day one - working with the world's most renowned law firms, leading corporations, and influential institutions to answer complex questions that shape critical financial, economic, and strategic business decisions.
Our globally integrated teams are united by the ambition, energy, and commitment they bring to every challenge. We inspire and empower an open, collaborative culture that embraces ongoing professional development, recognition, diversity, and - most importantly - you.
Make your impact at Secretariat.
ABOUT OUR ENGINEERING SCIENCES TEAM
As part of our expanding Global Engineering and Scientific consulting team, you will work at the forefront of today's most complex engineering challenges. You will be engaged in analyzing failures of a myriad of products from a variety of industries, but with a heavy focus on large industrial facilities like power plants, Oil & Gas facilities, chemical processing plants, construction, and similar. Outside of that work, you will be engaged in automotive, consumer products, consumer electronics, and medical devices.
Secretariat leverages our diverse technical expertise and industry knowledge of a variety of structures and products to provide clients with world-class value to identify solutions that drive performance and safety.
Secretariat is a diversified international expert services firm with more than 500 professionals in 20+ cities around the globe. Furthermore, Secretariat was recently ranked as the #1 firm in Global Arbitration Review's prestigious GAR 100 Expert Witness Firms' Power Index, and more than 90% of Secretariat's leading experts are recognized as leading experts in their field by the independent Lexology rankings.
RESPONSIBILITIES
  • Design and develop analytical pipelines for acquisition, synchronization, fusion, processing, and analysis of multimodal wearable and biomechanical sensor data.
  • Collect, process, analyze, and interpret biomechanical and physiological data from both laboratory and real-world study environments as they pertain to human gait and locomotion, motor control, and predictive musculoskeletal and human movement modeling.
  • Develop algorithms, software tools, and analytical workflows for wearable sensor and biomechanics applications.
  • Work extensively with wearable sensing modalities including:
    • inertial measurement units (IMUs)
    • photoplethysmography (PPG)
    • galvanic skin response (GSR/EDA)
    • electromyography (EMG)
    • wearable force and pressure sensing systems
    • flexible and emerging wearable sensor technologies
  • Apply signal processing, sensor fusion, statistical modeling, and AI/ML methodologies to derive meaningful insights from complex multimodal datasets.
  • Develop and apply machine learning and AI approaches including:
    • predictive analytics
    • classification and pattern recognition
    • anomaly detection
    • time-series analytics
    • human activity recognition
    • computer vision and movement tracking
  • Support development and validation of wearable sensing technologies and associated algorithms against laboratory-based gold-standard systems.
  • Develop technical reports, visualizations, dashboards, and presentations to communicate analytical findings and study outcomes.
  • Collaborate closely with multidisciplinary teams including engineers, data scientists, clinicians, researchers, and product development teams.
  • Contribute to technical publications and client-facing technical activities as appropriate.

QUALIFICATIONS
  • Ph.D. in Biomechanics, Biomedical Engineering, Mechanical Engineering, Kinesiology, Bioengineering, Data Science, Electrical Engineering, or a related technical discipline.
  • Strong background in biomechanics, human movement analysis, signal processing, and advanced data analytics.
  • Experience working with wearable biomechanical, physiological, and integrated clinical sensing technologies.
  • Experience developing analytical pipelines, algorithms, or software tools for integrated wearable and laboratory-based sensor data processing and analysis.
  • Strong understanding of multimodal wearable sensing technologies and associated signal characteristics.
  • Experience conducting or supporting human-subject/participant studies.
  • Experience processing and analyzing large-scale time-series datasets generated from diverese sensing systems.
  • Experience applying statistical analysis, machine learning, or AI methodologies to biomechanics, physiological monitoring, or other human movement datasets.
  • Strong programming and scientific computing skills using Python, MATLAB, R, and/or C/C++.
  • Strong written and verbal communication skills.

A rewarding career above all
There are a lot of fine consulting firms out there. But when everything is on the line, it takes a unique combination of skill and savvy to succeed under pressure.
Our culture and people are driven by passion, pride, and performance. Passion for the clients we serve, the work we deliver, and the communities we live in. Pride in our cohesive team recognized for excellence and trusted to perform in the most challenging situations. And our track record of outstanding performance across all of our disciplines speaks for itself.
Our people are motivated to be the best in everything they do - from our approach to making the complex simple to the way we mentor our up-and-coming talent to become trusted experts early in their careers.
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