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Geospatial Data Science Intern Jobs in Boston, MA

US Department of the Air Force

DATA SCIENTIST

Natick, MA · On-site

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

STR

Senior Data Scientist (CLEARANCE REQUIRED)

Woburn, MA · On-site

$139K - $165K/yr

Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib ... Have expertise working with geospatial and/or spatio-temporal data Pay Information Full-Time Salary ...

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All JobsGeospatial Data Science Intern JobsGeospatial Data Science Intern Jobs in Boston, MA

Geospatial Data Science Intern information

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$13

$24

$45

How much do geospatial data science intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for geospatial data science intern in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

What types of projects or tasks can a geospatial data science intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

What is a geospatial data science intern?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

What are the key skills and qualifications needed to thrive as a geospatial data science intern?

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

What are popular job titles related to Geospatial Data Science Intern jobs in Boston, MA? For Geospatial Data Science Intern jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science Intern jobs in Boston, MA look for? The top searched job categories for Geospatial Data Science Intern jobs in Boston, MA are:
Geospatial Data Science Intern jobs near you
Infographic showing various Geospatial Data Science Intern job openings in Boston, MA as of August 2026, with employment types broken down into 21% Internship, 64% Full Time, 10% Part Time, and 5% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.

Data Scientist - Perception Verification and Validation [Filled 7/24/2026]

Zoox

Boston, MA • On-site

$167K - $228K/yr

Full-time

Medical, Life, PTO

Re-posted 22 days ago

Job description

We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior.
In this role, You will...
  • Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior
  • Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance.
  • Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership.
  • Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.
Qualifications
  • Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
  • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Basic experience with autonomous driving, safety-critical systems, or computer vision systems.
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.
Bonus Qualifications
  • Skilled at using AI tools to improve development efficiency and  quality.
  • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
  • Experience analyzing geospatial data
$167,000 - $228,000 a year
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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