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Entry Level Urban Data Science Jobs (NOW HIRING)

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

WVU Medicine

Associate Data Scientist

Morgantown, WV · On-site

$60K - $61K/yr

... science and statistical skills, contributes to data pipelines and exploratory analysis, and helps translate healthcare data into meaningful insights. This is an entry-level to early-career role for ...

West Virginia University Health System

$60K - $61K/yr

... science and statistical skills, contributes to data pipelines and exploratory analysis, and helps translate healthcare data into meaningful insights. This is an entry-level to early-career role for ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

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Entry Level Urban Data Science information

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How much do entry level urban data science jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for entry level urban data science in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

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 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 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 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.

More about Entry Level Urban Data Science jobs
What are the most commonly searched types of Urban Data Science jobs? The most popular types of Urban Data Science jobs are:
What states have the most Entry Level Urban Data Science jobs? States with the most job openings for Entry Level Urban Data Science jobs include:
What job categories do people searching Entry Level Urban Data Science jobs look for? The top searched job categories for Entry Level Urban Data Science jobs are:
Entry Level Urban Data Science jobs near you
Infographic showing various Entry Level Urban Data Science job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 5% Part Time, 5% Temporary, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Entry level_New graduates (Computer Science/CIS)

Dev Talent Network

Reston, VA • On-site

Full-time

Posted 9 days ago

Job description

Dev's Talent Network is designed to create a network of talented applicants who are interested in working for Dev Technology and are waiting for a job opening that matches their skills and experience. Here you will find positions we are "always recruiting" as well as an opportunity to share your resume with Dev, even if the job position you seek is not listed here today.
The Dev Talent Network is a community of highly qualified technical and management professionals recognized by Dev to demonstrate strong alignment with our company culture. The Dev Talent Network is comprised of candidates, referrals, Dev alumni, and fellow colleagues with whom we have worked in the past.
We're excited to evolve the Dev Talent Network so our members stay connected with Dev and discover new career opportunities with us.
Dev Technology Group frequently hires new graduates for our entry level opportunities. Dev Technology is a great place to launch your career with a variety of programs that support our new hires and growth that include our mentorship programs, Denizens, Dev University and more. We hire entry level talent in the following IT service areas: Application Development (Full Stack), QA/Testers, Business Analysts, and AI/Data Science.
Required Education, Experience, and Skills:
  • Bachelors degree in Computer Science, CIS, AI, Data Science or similar program of study
  • Demonstrated a strong interest in software development or related technical areas through past employment or academic/personal projects (e.g. GitHub portfolio, etc.) and software development concepts ad best practices for Developer and Business Analyst Opportunities
    • OR Knowledge of machine learning and data science approaches and applications for Data Science and AI Opportunities
  • Ability to obtain a U.S. government clearance as required
  • Previous internship experience learning skills applicable to Dev Technology's service areas
  • A desire to serve government clients and support their missions
  • Ability to quickly absorb and learn application functionality well enough to explain it to someone else
  • Understanding of application technology stacks and how they function together
  • Demonstrated ability to communicate clearly and concisely both verbally and in writing
  • Excellent diplomacy and communication skills with both clients and technical staff
  • Excels working as part of a team
  • Openness to continuous learning and receiving constructive feedback in order to improve
  • Familiarity with agile development methodologies including Scrum, Kanban, or Lean practices preferred

***By submitting your information you agree our talent recruitment team may use your contact information to reach out to you regarding new opportunities that may be applicable to your experience.

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