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Summer Geospatial Data Science Intern Jobs in Boston, MA

Senior Data Scientist

Boston, MA · On-site

$110 - $140/hr

... and drive data science and machine learning features end‑to‑end: from problem framing ... You will work at the intersection of AI, machine learning, geospatial intelligence, and ...

Data Scientist

Boston, MA · On-site

$110 - $120/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deliver across the full analytical stack: data aggregation and creation, cleaning and manipulation, commercial data science (geospatial, machine learning, predictivemodelling, NLP,LLMs) and ...

... academic summer. DS interns will have a designated data scientist mentor and will spend the ... To that end, there are three major components with which an intern should expect to engage.

New

... academic summer. DS interns will have a designated data scientist mentor and will spend the ... To that end, there are three major components with which an intern should expect to engage.

New

... science • Experience building data analysis pipelines using standard tools (e.g., Python, C ... geospatial and/or spatio-temporal data Company : STR is built on people & technology platforms ...

... science • Experience building data analysis pipelines using standard tools (e.g., Python, C ... geospatial and/or spatio-temporal data Company : STR is built on people & technology platforms ...

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 ...

Showing results 21-40

Summer Geospatial Data Science Intern information

See Boston, MA salary details

$13

$24

$45

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

As of Aug 16, 2026, the average hourly pay for summer 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 is the difference between Summer Geospatial Data Science Intern vs Summer GIS Intern?

AspectSummer Geospatial Data Science InternSummer GIS Intern
Required CredentialsRelevant coursework in data science, GIS, or related fields; basic programming skillsGIS certifications or coursework; GIS software proficiency
Work EnvironmentData analysis, modeling, programming, and spatial data processingMapping, spatial data management, and GIS software application
Employer & Industry UsageTech companies, environmental agencies, research institutionsGovernment agencies, urban planning firms, environmental organizations

The Summer Geospatial Data Science Intern role focuses on analyzing spatial data using data science techniques and programming, while the Summer GIS Intern emphasizes mapping and managing spatial data with GIS software. Both positions require familiarity with GIS concepts, but the data science internship leans more toward programming and data analysis, whereas the GIS internship centers on mapping and spatial data management.

Senior Data Scientist

Tive

Boston, MA • On-site

$110 - $140/hr

Other

Re-posted 4 days ago


Job description

As a Senior Data Scientist at Tive, you will own and drive data science and machine learning features end‑to‑end: from problem framing, solutioning, and modeling through to production and monitoring. You will work at the intersection of AI, machine learning, geospatial intelligence, and real‑world logistics data to build capabilities that turn raw signals into intelligence customers can act on. The best ideas only count if they ship.

What Our Ideal Candidate Will Do:
  • Own and ship innovative customer‑facing data science and AI features across Tive's core roadmap spanning theft detection, routing intelligence, anomaly detection, and alerting.
  • Drive initiatives end‑to‑end from ideation, scoping, modeling, to production and deployment, with full accountability for outcomes and execution.
  • Bring creativity to unsolved problems where the right approach isn't obvious and the playbook doesn't exist yet.
  • Build with production in mind from day one. Evaluation harnesses, precision/recall tracking, shadow‑mode testing, and clean handoffs to platform engineering are how we work.
  • Collaborate closely with product managers, platform engineers, and other stakeholders within a structured, outcome‑oriented process.
  • Hold a high bar for quality, transparency, and rigor.
Preferred Experience:
  • 5+ years of industry data science experience, with a track record of owning initiatives end‑to‑end from proof of concept to production.
  • Master's, PhD, or equivalent work experience in computer science, mathematics, statistics, engineering, or a related technical field.
  • Senior‑level depth in statistical modeling, ML, and modern AI/LLM techniques.
  • Experience in owning ambiguous, cross‑functional problems from definition through execution.
  • Strong communication skills: you can translate complex modeling decisions into clear business context for product and executive stakeholders.
  • Geospatial, supply chain, or IoT sensor data experience is a strong plus: our data is inherently spatial and physical, and domain intuition accelerates impact.
  • Strong Python skills and solid data engineering fundamentals.
  • Proficiency in SQL. Experience with dbt is a plus.
  • Hands‑on experience deploying and operating ML in Snowflake, AWS, or comparable cloud infrastructure.
  • Familiarity with Agile/Scrum development methodologies.
What does Tive offer?
  • A chance to join what may very well turn out to be the most important company in your career.
  • The autonomy and resources to build what you know how to build.
  • Work with a committed global team that has each other’s back.
  • Office‑based or hybrid options. Your choice.
  • Competitive equity to ensure all of our employees have a sense of ownership in the long‑term success of Tive's growth.

We celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal‑opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees.

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