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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.

Staff Data Scientist - Behavior Evaluation

Zoox

Foster City, CA

$256K - $307K/yr

Full-time

Medical, Life, PTO

Re-posted 6 days ago

Job description

We are seeking a highly skilled and experienced Staff Data Scientist to join our team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Staff Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in machine learning and statistical modeling, and contributing to the advancement of our self-driving systems. You will work closely with a team of talented engineers and researchers in a fast-paced, collaborative environment.
In this role, you will:
  • Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights.
  • Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
  • Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems.
  • Communicate complex technical findings and recommendations to both technical and non-technical audiences.
  • Mentor and provide technical guidance to junior data scientists and engineers.
Qualifications
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist.
  • Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL.
  • Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling.
  • Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques.
  • Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences.
Bonus Qualifications
  • Experience working with autonomous driving data and algorithms, robotics, control systems or related fields.
  • Experience with real-time data processing and low-latency systems.
  • Publications in top-tier machine learning or autonomous driving conferences.
$256,000 - $307,000 a year
Base Salary Range
 
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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