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Internship Geospatial Data Scientist Jobs in California

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 ...

New

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 ...

New

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and ... Work with large, messy operational datasets, including delivery events, geospatial data, carrier ...

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and ... Work with large, messy operational datasets, including delivery events, geospatial data, carrier ...

... or internships. * Strong SQL skills and experience working with data warehouse systems such as ... Previous experience working with geospatial analytics and spatial datasets. * Experience with large ...

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

... or internships. * Strong SQL skills and experience working with data warehouse systems such as ... Previous experience working with geospatial analytics and spatial datasets. * Experience with large ...

Koniag IT Systems, LLC is seeking a Lead Data Scientist to spearhead geospatial application programming efforts for our federal customers. The ideal candidate will bring extensive experience in data ...

Navy SEPASS Data Scientist

Monterey, CA · On-site

$195K - $205K/yr

Koniag IT Systems, LLC is seeking a Lead Data Scientist to spearhead geospatial application programming efforts for our federal customers. The ideal candidate will bring extensive experience in data ...

Koniag IT Systems, LLC is seeking a Lead Data Scientist to spearhead geospatial application programming efforts for our federal customers. The ideal candidate will bring extensive experience in data ...

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Internship Geospatial Data Scientist information

What is an internship geospatial data scientist?

An Internship Geospatial Data Scientist is a student or recent graduate who assists in analyzing and interpreting geographic data using advanced computational and statistical methods. They work with spatial datasets, use GIS (Geographic Information Systems) software, and may help develop models to solve real-world problems involving locations and spatial relationships. This internship provides hands-on experience in data analysis, mapping, and programming, preparing individuals for a career in geospatial science or data analytics.

What types of projects can an internship geospatial data scientist expect to work on, and how do these contribute to the organization's goals?

As an Internship Geospatial Data Scientist, you can expect to work on projects involving spatial data analysis, map creation, and data visualization using tools like GIS software and Python or R. These projects often support decision-making in areas such as urban planning, environmental monitoring, or logistics optimization. Interns typically assist in cleaning and processing large spatial datasets, developing models, and presenting findings to team members. Your contributions help inform strategic initiatives and provide actionable insights, offering valuable experience and exposure to real-world geospatial challenges.

What are the key skills and qualifications needed to thrive as an internship geospatial data scientist, and why are they important?

To thrive as an Internship Geospatial Data Scientist, you need a solid understanding of GIS concepts, spatial analysis, and proficiency in programming languages like Python or R, often supported by coursework or a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing platforms, and data visualization software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret spatial data and collaborate with interdisciplinary teams. These abilities are crucial for delivering actionable geospatial insights and supporting data-driven decision-making within organizations.

What is the difference between Internship Geospatial Data Scientist vs Geospatial Data Analyst?

AspectInternship Geospatial Data ScientistGeospatial Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., GIS, Data Science)Similar educational background, often with additional certifications in GIS or analytics
Work EnvironmentInternship setting, often in tech, government, or environmental firmsFull-time or part-time roles in various industries like urban planning, environmental agencies
Employer & Industry UsageUsed by organizations seeking entry-level talent for geospatial projectsCommon in industries requiring spatial data analysis for decision-making

The Internship Geospatial Data Scientist is an entry-level role focused on learning and supporting geospatial data projects, often within a structured internship program. In contrast, a Geospatial Data Analyst is a more established position involving ongoing data analysis, reporting, and decision support. Both roles require similar educational backgrounds, but the internship is temporary and geared toward gaining experience, while the analyst role is typically permanent and more autonomous.

What are the most commonly searched types of Geospatial Data Scientist jobs in California?

The most popular types of Geospatial Data Scientist jobs in California are:

What cities in California are hiring for Internship Geospatial Data Scientist jobs?

Cities in California with the most Internship Geospatial Data Scientist job openings:

Data Scientist

Santa Clara, CA • On-site

Picarro, Inc
Environmental Consulting Services • 201 - 500 employees

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


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.