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Sensor Data Scientist Jobs (NOW HIRING)

Picarro, Inc

Data Scientist

Santa Clara, CA · On-site

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time ... Work with time-series and geospatial data to build analytical workflows that combine sensor data ...

Picarro, Inc

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time ... Work with time-series and geospatial data to build analytical workflows that combine sensor data ...

Texas Instruments Incorporated

Data Scientist

Dallas, TX · On-site

... a Sr./Lead Data Scientist who can fundamentally change how facilities operations leverage data ... You will work directly with operational teams to extract signal from complex sensor, equipment, and ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

... a Sr./Lead Data Scientist who can fundamentally change how facilities operations leverage data ... You will work directly with operational teams to extract signal from complex sensor, equipment, and ...

Bwpmlp

The Data Scientist plays a key role in advancing digital innovation by developing data-driven ... Apply geospatial and sensor data analytics to support pipeline monitoring, flow optimization, and ...

Bwpmlp

Lead / Sr Analyst Data Scientist

Houston, TX · On-site

The Data Scientist plays a key role in advancing digital innovation by developing data-driven ... Apply geospatial and sensor data analytics to support pipeline monitoring, flow optimization, and ...

Socket.dev

Data Scientist

Dallas, TX · On-site

... a Sr./Lead Data Scientist who can fundamentally change how facilities operations leverage data ... You will work directly with operational teams to extract signal from complex sensor, equipment, and ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

... a Sr./Lead Data Scientist who can fundamentally change how facilities operations leverage data ... You will work directly with operational teams to extract signal from complex sensor, equipment, and ...

Covalent Corp.

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Role Overview We are seeking a Data Scientist to work at the intersection of laboratory science and ... Working with experimental, instrument-generated, imaging, or sensor data * Exploratory data ...

Covalent

Data Scientist

Sunnyvale, CA · On-site

We are seeking a Data Scientist to work at the intersection of laboratory science and data-driven ... Working with experimental, instrument-generated, imaging, or sensor data * Exploratory data ...

GenLogs

Data Scientist

ABOUT THE DATA TEAM The Data Science team at GenLogs transforms raw observational data from the Trident sensor network into high-value intelligence used by law-enforcement agencies, regulators, ports ...

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Showing results 21-40

All JobsSensor Data Scientist Jobs

Sensor Data Scientist information

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$122.7K

$196.5K

How much do sensor data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for sensor data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Sensor Data Scientist jobs?

For Sensor Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Sensor Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Santa Clara, CA • On-site

Picarro, Inc
Environmental Consulting Services • 201 - 500 employees
Learn more about Picarro, Incexternal

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Data Scientist
Job Location: Santa Clara, CA (preferred) or Remote - US-based
Job Term: Full-Time
The Opportunity
Picarro's instruments and analytics power industrial emissions detection, from methane and VOC leak detection to process and emissions monitoring at industrial facilities. We're looking for a Data Scientist who can apply rigorous statistical and physical modeling to Picarro's core measurement challenges: detecting, attributing, localizing, and quantifying trace gases and emissions from complex sensor data.
You'll work closely with the data analytics, customer success, product, and engineering teams, applying and extending broadband spectroscopic analysis techniques and translating that understanding into models and algorithms that directly shape our products and solutions.
What You'll Do
  • Develop and implement models and algorithms for the detection, attribution, localization, and quantification of trace gases and emissions across measurement platforms and applications.
  • Build models of atmospheric transport and dispersion (e.g., Gaussian plume, WRF, HYSPLIT), or work closely with those who do, to support emissions analytics in diverse settings, including industrial facilities, pipelines, and urban and natural environments.
  • Apply statistical techniques such as Bayesian inference, hypothesis testing, and Monte Carlo simulation to quantify uncertainty and improve the interpretability of results.
  • Work with time-series and geospatial data to build analytical workflows that combine sensor data with atmospheric and geospatial context.
  • Design and run experimental programs to develop and validate algorithms, deepening our understanding of plume propagation and detection.
  • Write both experimental and production code and translate research-stage models into components engineering can integrate into Picarro's production cloud platform.
  • Use modern AI-assisted coding tools as part of the day-to-day workflow, alongside good engineering practices.
  • Manage, process, and visualize large, complex scientific datasets to extract actionable insight for internal and external stakeholders.
  • Maintain rigorous documentation and communicate findings clearly to both technical and non-technical audiences.

What You Bring
  • Ph.D. or Master's in Physics, Applied Math, Atmospheric or Ocean Science, Astrophysics, Engineering, or a related physical science, or equivalent applied experience.
  • 2+ years of related research or industry experience (postdoctoral research counts).
  • Strong foundation in statistical modeling, including Bayesian methods and uncertainty quantification.
  • Hands-on experience with time-series and geospatial data.
  • Exposure to atmospheric transport and dispersion concepts (e.g., Gaussian plume models, WRF, HYSPLIT) is a plus; we're happy to build this depth on the job for someone with a strong physical modeling and statistics foundation.
  • Proficiency in Python for numerical analysis (Pandas, NumPy, SciPy, Matplotlib, etc.) and SQL.
  • Goal-oriented with strong organizational skills and the ability to manage competing priorities with minimal supervision.
  • Strong technical communication skills, able to translate complex analysis for both scientific and non-technical audiences.
  • Familiarity with cloud computing environments (AWS preferred) and software development best practices (version control, code review, testing) is a plus; candidates without this should expect to develop it on the job.

The base salary range for this full-time position is $130K to $150K. Our total compensation packages include base salary, bonus eligibility, and equity. Your base salary range and title will be determined based on the location, experience, qualifications, skills, knowledge, level, and pay of employees in similar positions.
We offer a comprehensive benefit package including:
  • Medical, Dental, and Vision insurance
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) plans
  • Life, Short-Term Disability, and Long-Term Disability Insurance
  • Paid Time Off and Paid Holidays
  • Employee Referral Program
  • 401K
  • Social events (summer picnic, holiday party, team lunches, etc.)
  • On-site Health & Wellness programs (fitness challenges, outdoor bootcamp, flu-shots, etc.)

About Picarro:
We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability.
At Picarro, we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, or disability. Posted positions are not open to third-party recruiters/agencies, and unsolicited resume submissions will be considered free referrals.
At Picarro, we strive to ensure that all individuals, regardless of their abilities, have equal opportunities. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, please contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.

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