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Geospatial Data Science Intern Jobs in Nevada (NOW HIRING)

Strong Python experience and familiarity with modern data science workflows (e.g., Jupyter, GitHub, cloud compute environments). * Experience working with geospatial data, routing systems, or map ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Las Vegas, NV · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Mechanical Engineering Intern

Reno, NV

$18.75 - $25.25/hr

Able to interpret data, generate graphs, and visually communicate test results. * Must be able to ... Must be currently enrolled in the Bachelor of Science, Mechanical Engineering program at University ...

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Geospatial Data Science Intern information

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 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 are popular job titles related to Geospatial Data Science Intern jobs in Nevada? For Geospatial Data Science Intern jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science Intern jobs in Nevada look for? The top searched job categories for Geospatial Data Science Intern jobs in Nevada are:

Senior Data Scientist

Vay

Las Vegas, NV

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Why this role is exciting

This is a high-impact role at the intersection of data science, mapping, and real-world mobility systems. You'll work on the data and algorithms that define how Vay's vehicles navigate cities safely and efficiently within our Operational Design Domain (ODD). Your work will directly unlock our ability to scale to new cities, improve routing performance, and solve complex real-world challenges in a rapidly evolving mobility environment.

What you'll be driving

In this role, you will play a critical part in advancing Vay's mapping and routing capabilities using data science and machine learning approaches.

  • Develop automated approaches to map augmentation using video, connectivity, trip data, and open datasets such as OpenStreetMap.

  • Build data science solutions that accelerate map creation and updates for new cities where Vay launches.

  • Design and develop routing simulation tools to discover optimal strategies for improving ETA and ATA accuracy.

  • Lead and contribute to initiatives within the Operational Design Domain (ODD) data science pod.

  • Identify and automate inefficiencies in map generation workflows to enable faster and more frequent updates.

  • Work cross-functionally with engineering, operations, and product teams to implement and deploy production-grade solutions.

  • Help scale the impact of the data science team by driving key initiatives and reducing knowledge concentration on critical ODD topics.

What are we looking for

We're looking for a data scientist who enjoys solving complex real-world problems and turning experimental ideas into production systems that power next-generation mobility.

  • Strong experience applying data science or machine learning techniques to real-world problems.

  • Ability to write high-quality, production-grade code.

  • Experience building and deploying applied data science solutions across the full lifecycle-from concept to implementation and rollout.

  • Strong Python experience and familiarity with modern data science workflows (e.g., Jupyter, GitHub, cloud compute environments).

  • Experience working with geospatial data, routing systems, or map-based datasets is highly valuable.

  • Comfortable working cross-functionally and owning complex initiatives in a fast-moving environment.

Nice to have

  • Prior engineering experience or strong software engineering foundations.

  • Experience with technologies such as Spark, TensorFlow, PyTorch, or similar ML frameworks.

Why choose Vay

A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.

Huge scope for impact in a fast paced environment

ESOP stock options: A stake in Vay's future - not just a salary.

Unlimited Paid Vacation Days

401(k) programme

Health, Dental & Vision Insurance 

All Vay team members receive 30% off their Vay rides

Wellness Hub free gym access & wellness app subscriptions

Exclusive external discounts

$350 Home office budget 

Relocation financial assistance when relocating to Las Vegas 

Regular team events throughout the year