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Entry Level Urban Data Science Jobs in California

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Entry Level Urban Data Science information

What is an entry level urban data scientist?

An Entry Level Urban Data Scientist is a professional who uses data analysis and computational techniques to help understand and improve urban environments. They work with data related to city infrastructure, transportation, population, and other urban systems to identify trends, solve problems, and support decision-making for city planning and management. This role typically involves tasks such as data cleaning, visualization, and basic modeling, often under the guidance of more experienced data scientists or urban planners. It's a great starting point for those interested in the intersection of data science and urban studies.

What types of projects do entry level urban data scientists typically work on, and how do they collaborate with other city planning professionals?

As an entry-level urban data scientist, you can expect to work on projects such as analyzing traffic patterns, evaluating public transit usage, or assessing the impact of zoning changes using large datasets. You will often collaborate closely with urban planners, GIS specialists, and policy analysts to translate data insights into actionable recommendations for city development. This role usually involves regular team meetings to align on project goals, sharing findings through reports or presentations, and occasionally participating in community engagement efforts to ensure data-driven decisions reflect public needs.

What are the key skills and qualifications needed to thrive as an entry level urban data scientist, and why are they important?

To thrive as an Entry Level Urban Data Scientist, you generally need a solid background in statistics, data analysis, and urban studies, often supported by a relevant degree such as data science, urban planning, or geography. Familiarity with programming languages like Python or R, GIS software (e.g., ArcGIS, QGIS), and data visualization tools is typically required. Strong problem-solving abilities, effective communication, and teamwork are crucial soft skills for translating data insights into actionable urban solutions. These skills and qualities are important because they enable you to analyze complex city data and contribute to evidence-based urban planning decisions.

What is the difference between Entry Level Urban Data Science vs Entry Level Geographic Information Systems (GIS) Analyst?

AspectEntry Level Urban Data ScienceEntry Level Geographic Information Systems (GIS) Analyst
Required CredentialsBachelor's in Data Science, Urban Planning, or related field; basic programming skillsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentUrban planning agencies, transportation departments, tech firmsGovernment agencies, environmental firms, urban planning departments
Industry UsageData analysis, modeling, urban analyticsMapping, spatial data management, GIS software applications
Common Search & ComparisonYesYes

Entry Level Urban Data Science focuses on analyzing urban data using programming and statistical tools, often involving urban analytics and modeling. In contrast, Entry Level GIS Analysts primarily work with spatial data and mapping software to create geographic visualizations. Both roles are common in urban planning and government sectors, but they emphasize different skill sets and tools.

What are popular job titles related to Entry Level Urban Data Science jobs in California?

For Entry Level Urban Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Urban Data Science jobs in California look for?

The top searched job categories for Entry Level Urban Data Science jobs in California are:

Entry Level Urban Data Science jobs near you
Infographic showing various Entry Level Urban Data Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Assistant Professor of Data Science

Koitecc Solutions

San Diego, CA • On-site

$95 - $140/hr

Other

Posted 4 days ago

Job description

The Department of Management Information Systems (MIS) in the Fowler College of Business at San Diego State University (SDSU) invites applications for a tenure-track assistant professor position in Data Science. The appointment will begin in August 2027 and is contingent on state funding. We are seeking candidates with teaching interest in advanced data science/statistics and research interest in the areas of data science/statistics and/or applied AI. The person holding this position will be responsible for developing and teaching undergraduate and graduate courses in data science.

The MIS Department is a multidisciplinary department with faculty members in the areas of information systems, data science, AI, cybersecurity, and supply chain management. MIS faculty are active in high-impact research and have engaged in grant‑funded research supported by NSF, US Navy, US Air Force, US Department of Homeland Security, and US Department of Education. The James Silberrad Brown Center for Artificial Intelligence (AI), affiliated with the MIS Department, has been central to developing an active grant‑funded research program.

The MIS Department offers the Bachelor of Science in Business Administration (BSBA) – Information Systems Emphasis, Master of Science in Information Systems (MSIS), Master of Science in Cybersecurity Management (MSCM), Master of Science in Supply Chain Innovation (MSSCI), and MBA specializations in Information Systems degrees. The Fowler College of Business is accredited by AACSB (since 1959). San Diego State University is a large, urban university and Hispanic‑Serving Institution and is classified as an R1 research institution, the highest distinction given in the Carnegie Classification of Institutions of Higher Education.

For more details on this position and application instructions, please go to PageUp.

Required qualifications by date of hire

Terminal degree, a doctoral‑level degree, in Information Systems or a related discipline by August 2027 with all degree requirements met.

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