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Sensor Scientist Jobs in Spring, TX (NOW HIRING)

Techvilla Solutions

Data Scientist

Highlands, TX

Experience working with vector, raster, point-cloud, and sensor datasets. * Excellent analytical ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Staffingine LLC

Azure OT Architect with LoRaWAN

Houston, TX · On-site

$60.75 - $79/hr

Design and implement LoRaWAN based sensor networks for industrial telemetry and control * Lead the ... Bachelors or Masters degree in Engineering Computer Science or related field * Knowledge of ...

Bot Auto

GPU Engineer

Houston, TX · On-site

Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ... Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

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All JobsSensor Scientist JobsSensor Scientist Jobs in Spring, TX

Sensor Scientist information

See Spring, TX salary details

$44.9K

$99.1K

$122.4K

How much do sensor scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for sensor scientist in Spring, TX is $99,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $121,900.00 per year, depending on experience, location, and employer.

What is a sensor scientist?

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 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 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.

How to become a sensor scientist?

To become a sensor scientist, typically a bachelor's degree in engineering, physics, chemistry, or a related field is required, with many roles favoring a master's or Ph.D. in sensor technology, materials science, or electrical engineering. Developing skills in data analysis, instrumentation, and sensor design, along with experience using tools like MATLAB or LabVIEW, is also important. Gaining practical experience through internships or research projects can enhance job prospects in this specialized field.

What job categories do people searching Sensor Scientist jobs in Spring, TX look for?

The top searched job categories for Sensor Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Sensor Scientist jobs?

Cities near Spring, TX with the most Sensor Scientist job openings:

Sensor Scientist jobs near you

Data Scientist

Techvilla Solutions

Highlands, TX

Full-time

Posted 6 days ago

Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.

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