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Geospatial Data Scientist Jobs in Boston, MA (NOW HIRING)

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$105K - $134K/yr

They are seeking a Senior Research Scientist to develop AI/ML algorithms for signals exploitation ... geospatial, and/or spatio-temporal data Company : STR is built on people & technology platforms ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

Our team consists of passionate and motivated engineers and scientists with advanced degrees in ... Expertise working with time series, geospatial, and/or spatio-temporal data * Experience in ...

STR

Lead Research Scientist - Machine Learning

Boston, MA · On-site

$174K - $220K/yr

Our team consists of passionate and motivated engineers and scientists with advanced degrees in ... Expertise working with time series, geospatial, and/or spatio-temporal data * Experience in ...

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All JobsGeospatial Data Scientist JobsGeospatial Data Scientist Jobs in Boston, MA

Geospatial Data Scientist information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do geospatial data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for geospatial data scientist in Boston, MA is $133,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,700.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

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

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

What are the most commonly searched types of Geospatial Data Scientist jobs in Boston, MA?

The most popular types of Geospatial Data Scientist jobs in Boston, MA are:

What are popular job titles related to Geospatial Data Scientist jobs in Boston, MA?

For Geospatial Data Scientist jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Boston, MA look for?

The top searched job categories for Geospatial Data Scientist jobs in Boston, MA are:

What cities near Boston, MA are hiring for Geospatial Data Scientist jobs?

Cities near Boston, MA with the most Geospatial Data Scientist job openings:

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,336 per year, or $64.1 per hour.

Senior Research Scientist - Machine Leaning

STR

Woburn, MA • On-site

$139K - $165K/yr

Full-time

Re-posted 19 days ago

Job description

About the Team
STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role:

As a Senior Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.  You will develop cutting edge AI/ML algorithms for novel application domains and modalities, participate on project teams, and interact with customers. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.

Who you are:

  • BS + 5 years, MS + 3 years, PhD or equivalent experience in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
  • Experience building and training neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow)
  • Ability to perform experiment design, modeling/simulation runs, and associated verification and performance analysis using standard analysis tools (e.g. Python)
  • Experience with standard data science tools including scikit-learn, Pandas, and Matplotlib
  • Proficiency in one or more programming languages: Python, C/C++
  • Ability to work and collaborate on multi-disciplinary teams
  • Ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government

Even better:

  • Active US government security clearance
  • Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial
  • Experience with self-supervised machine learning
  • Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
  • Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
  • Expertise working with time series, geospatial, and/or spatio-temporal data

Pay Information
Full-Time Salary Range: $139,000 - $165,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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