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Geospatial Data Science Intern Jobs (NOW HIRING)

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Multiple Teams Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

Mariner Finance

Data Science Intern

Nottingham, MD

$18 - $20.61/hr

Provide support to and gain hands-on experience in data science, analytics, and model monitoring. Assist with the development of analytical processes, reporting, and insights that support the ...

New

Core One

Geospatial Data Scientist (Expert)

Gordon, GA · On-site

Demonstrated experience and proficiency with data science techniques including (but not limited to ... Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

Jj

Data Science Intern (Summer 2026)

New Brunswick, NJ

$25.50 - $33/hr

New Brunswick, New Jersey, United States of America Data Science Intern - Global Finance Data Science Johnson & Johnson Position Summary Join Johnson & Johnson's Global Finance Data Science team to ...

New

DAWSON

Environmental Science Intern

Honolulu, HI · On-site

$16.75 - $21.25/hr

... Science Intern to support our growing environmental team in executing technical consulting work ... Geospatial and environmental data collection, processing, and analysis * Project coordination and ...

DAWSON

Environmental Science Intern

Honolulu, HI

$16.75 - $21.25/hr

... Science Intern to support our growing environmental team in executing technical consulting work ... Geospatial and environmental data collection, processing, and analysis * Project coordination and ...

DAWSON

Environmental Science Intern

Honolulu, HI

$16.75 - $21.25/hr

... Science Intern to support our growing environmental team in executing technical consulting work ... Geospatial and environmental data collection, processing, and analysis * Project coordination and ...

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

As of May 29, 2026, the average hourly pay for geospatial data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a Geospatial Data Science Intern job?

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 in the Geospatial Data Science Intern position, and why are they important?

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 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.
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Geospatial Data Science Intern jobs near you
Infographic showing various Geospatial Data Science Intern job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Science Intern

Data Science Intern

Faire

San Francisco, CA

$75/hr

Other

Posted 14 days ago

Job description

Data Science Internship - Multiple Teams

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Teams

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

Risk Management

  • Build and refine models and heuristics across core risk domains - including underwriting, identity verification, returns, markdowns, and disputes & misuse - to reduce financial losses and unlock GMV growth
  • Partner cross-functionally to develop scalable, data-driven frameworks that balance risk exposure with business opportunity

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Risk Management

  • Solid ML fundamentals with hands-on experience productionizing models using frameworks such as scikit-learn, XGBoost, or deep learning libraries
  • Experience with Python; familiarity with Java, Kotlin, or C++ is a plus
  • Knowledge of statistical techniques including experimentation and causal inference
  • Experience with SQL or other database querying languages preferred

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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