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Sensor Scientist Jobs in Georgia (NOW HIRING)

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... High-dimensional datasets (time series, sensor data, ETA prediction, etc.). They will be well ...

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... High-dimensional datasets (time series, sensor data, ETA prediction, etc.). They will be well ...

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... High-dimensional datasets (time series, sensor data, ETA prediction, etc.). They will be well ...

Senior Data Scientist (Machine Learning & MLOps) Our client is seeking a Data Scientist (Machine ... sensor readings each day. You'll play a key role in establishing the organization's reusable ...

The Sensors Division at STR focuses on technology development for advanced sensor systems and ... Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++ * Strong ...

You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a ... Master's degree or higher in Computer Science, Robotics, or a related field * Experience with AWS ...

The Sensors Division at STR focuses on technology development for advanced sensor systems and ... Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++ * Strong ...

The Sensors Division at STR focuses on technology development for advanced sensor systems and ... Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++ * Strong ...

Job Overview The Data Scientist / ML Engineer builds and deploys predictive models and analytical ... Build predictive maintenance models -- analyze cabinet error logs and, as sensor/telemetry ...

Job Overview The Data Scientist / ML Engineer builds and deploys predictive models and analytical ... Build predictive maintenance models -- analyze cabinet error logs and, as sensor/telemetry ...

Job Overview The Data Scientist / ML Engineer builds and deploys predictive models and analytical ... Build predictive maintenance models -- analyze cabinet error logs and, as sensor/telemetry ...

Job Overview The Data Scientist / ML Engineer builds and deploys predictive models and analytical ... Build predictive maintenance models -- analyze cabinet error logs and, as sensor/telemetry ...

Systems Engineer - R&D

Peachtree Corners, GA ยท On-site

$90K - $120K/yr

Embedded coding for sensor, control, and data acquisition systems Required Qualifications * Bachelor's Degree in Electrical & Computer Engineering, Computer Science, or other technical field * Strong ...

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Sensor Scientist information

What are the key skills and qualifications needed to thrive as a Sensor Scientist, and why are they important?

A Sensor Scientist typically needs a solid background in physics, chemistry, or engineering, along with experience in sensor design, data analysis, and a relevant advanced degree. Familiarity with analytical tools, simulation software, and laboratory instrumentation is crucial, and certifications in areas like instrumentation or materials science can be advantageous. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for excelling in this field. These competencies enable Sensor Scientists to innovate, accurately interpret sensor data, and collaborate effectively across multidisciplinary teams.

What are some common challenges Sensor Scientists face when developing new sensor technologies?

Sensor Scientists often encounter challenges such as ensuring sensitivity and accuracy of new sensors while maintaining cost-effectiveness and scalability for manufacturing. Integrating sensors with existing hardware and software platforms can also be complex, requiring close collaboration with engineers and data scientists. Additionally, staying up-to-date with rapidly evolving materials and technology standards is crucial, as is navigating regulatory requirements for safety and environmental impact.

What are Sensor Scientists?

Sensor Scientists are professionals who research, design, develop, and test sensors used to detect and measure physical properties such as temperature, pressure, motion, light, or chemical composition. They work in a variety of industries including electronics, automotive, environmental monitoring, healthcare, and manufacturing. Sensor Scientists often collaborate with engineers to improve existing sensor technology or create new types of sensors for specialized applications. Their work involves both theoretical analysis and hands-on experimentation to enhance sensor performance, reliability, and integration into systems.

What is the difference between Sensor Scientist vs Sensor Engineer?

AspectSensor ScientistSensor Engineer
CredentialsTypically requires a master's or Ph.D. in physics, chemistry, or materials scienceUsually holds a bachelor's or master's in electrical engineering, mechanical engineering, or related fields
Work EnvironmentResearch labs, academic institutions, or R&D departmentsManufacturing facilities, product development teams, or engineering firms
Primary FocusDeveloping new sensor materials and understanding sensor phenomenaDesigning, testing, and implementing sensor systems for practical applications
Industry UsageResearch and development, academia, specialized industriesElectronics, automotive, aerospace, consumer devices

Sensor Scientists focus on researching and developing new sensor materials and understanding sensor behavior, often working in labs or academic settings. Sensor Engineers apply this knowledge to design and implement sensor systems in real-world products and applications. While both roles require technical expertise, their work environments and primary objectives differ.

What cities in Georgia are hiring for Sensor Scientist jobs? Cities in Georgia with the most Sensor Scientist job openings:
Sr. Data Scientist

Sr. Data Scientist

ResultStack

Atlanta, GA โ€ข On-site

Full-time

Posted 6 days ago


Job description

Must be a US Citizen or Hold a Green Card
ABOUT THE ROLE
We are looking to hire a Data Scientist who can transform the
complexity of global shipping and logistics into clear, actionable
intelligence. You'll work across operations, engineering, and leadership
to build predictive systems that optimize routes, forecast demand, and
surface insights that keep cargo moving. This is a high-impact role at the
intersection of data science, operational expertise, and emerging AI.
CORE REQUIREMENTS
This candidate will have Dashboard & BI Tooling. Being Fluent in
Tableau, Power BI, Looker, or equivalent. They will be able to model data
and present it for both technical and executive audiences.
They will have Complex Data Fluency. Being very comfortable
wrangling large, noisy datasets --- EDI records, tracking logs, port data,
weather overlays, and multi-model feeds.
They will do Predictive Modeling. Having proven experience building
ML models from messy. High-dimensional datasets (time series, sensor
data, ETA prediction, etc.).
They will be well versed in AI & Machine Learning. Having Hands-On
experience with LLM's, NLP, computer vision, or operations research
applied to real-world logistics problems.
This candidate must also be excellent in Collaboration &
Communication. They can translate model outputs into business
decisions. They will also possess strong documentation habits and
cross-functional alignment skills.
WHAT YOU'LL WORK ON
Route optimization and transit time prediction models โ€ข Anomaly
detection in shipment and carrier data โ€ข Real-time operational
dashboards for fleet and port performance โ€ข AI-assisted demand
forecasting for freight capacity planning โ€ข Cross-team data
infrastructure and model deployment support.
REQUIREMENTS
6+ Years in shipping, freight, logistics, or supply chain,
Understand how cargo and data both move.
NICE TO HAVES
Python, R, or SQL --- scripting and querying at production scale.
Software Development Principles: version control (Git), CI/CD, API
integration. Familiarity with containerization (Docker) or cloud
platform (AWS, GCP, Azure). Experience building data pipelines or ETL
workflows.