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Smart City Data Science Jobs (NOW HIRING)

Smart Data

Data Scientist III

Chantilly, VA · On-site

$135K - $180K/yr

This role focuses on applying data science, machine learning, and data engineering techniques to ... Smart Data Systems is an Equal Opportunity Employer. All qualified applicants will receive ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Altagrove delivers smart and innovative technology solutions that create competitive advantages for ... As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

The AI Product's Data Science org is at the center of the next generation of products at Figma ... We believe in hiring smart, curious people who are excited to learn and develop their skills. If ...

Next Step Systems

Data Science Developer

Chicago, IL · On-site

Data Science Developer, Chicago, IL We are seeking a talented Data Science Developer candidate to ... City, Los Angeles, Miami, Minneapolis, Nashville, New Jersey, New York, Philadelphia, Phoenix ...

Invitation Homes LP

VP, Data Science

Dallas, TX · On-site

We continue to innovate with smart home technology, an industry-leading maintenance app, and other ... Data Science Strategy & Business Partnership * Define and own the strategy and roadmap for ...

Invitation Homes LP

We continue to innovate with smart home technology, an industry-leading maintenance app, and other ... Data Science Strategy & Business Partnership * Define and own the strategy and roadmap for ...

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

Built In's 2025 Best Places to Work For In New York City * Built In's 2024 & 2025 Best Startups to ... At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to ...

Brigit

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

Built In's 2025 Best Places to Work For In New York City * Built In's 2024 & 2025 Best Startups to ... At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to ...

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Smart City Data Science information

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How much do smart city data science jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for smart city data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is smart city data science?

Smart City Data Science is the application of data analysis, machine learning, and related technologies to improve urban environments and services. Professionals in this field collect and analyze data from various sources—such as traffic sensors, public transportation, energy grids, and social media—to optimize city operations, enhance sustainability, and improve citizens' quality of life. They work closely with urban planners, government officials, and technology experts to develop data-driven solutions for challenges like congestion, pollution, public safety, and resource management.

How does a smart city data scientist typically collaborate with urban planners and local government officials?

Smart City Data Scientists often work closely with urban planners and local government officials to analyze data related to transportation, energy usage, public safety, and other urban systems. Collaboration usually involves translating complex data insights into actionable recommendations that support decision-making for city improvements. Regular meetings, data-sharing sessions, and joint workshops are common, enabling data scientists to understand policy goals while helping stakeholders grasp the potential of data-driven solutions. This collaborative environment fosters innovation and ensures that the implemented solutions align with both technical feasibility and community needs.

What are the key skills and qualifications needed to thrive as a smart city data scientist, and why are they important?

To thrive as a Smart City Data Scientist, you need expertise in data analytics, statistical modeling, and urban informatics, usually supported by an advanced degree in computer science, engineering, or related fields. Familiarity with big data platforms (like Hadoop or Spark), GIS tools, and programming languages such as Python or R is essential, along with certifications in data science or urban analytics being advantageous. Strong problem-solving, communication, and interdisciplinary collaboration skills help bridge the gap between technical teams, city planners, and stakeholders. These capabilities are crucial for turning complex urban data into actionable insights that improve city operations, sustainability, and quality of life for citizens.

What is the difference between Smart City Data Science vs Urban Data Analyst?

AspectSmart City Data ScienceUrban Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fields; proficiency in programming and data analysis toolsDegree in Urban Planning, Geography, or Data Analysis; skills in GIS and statistical analysis
Work EnvironmentTechnology-driven projects within smart city initiatives, often in government or tech firmsUrban planning departments, government agencies, consulting firms
Employer & Industry UsageMunicipalities, smart city tech companies, transportation agenciesCity governments, urban development organizations, research institutions

While both roles involve data analysis related to urban environments, Smart City Data Scientists focus on leveraging advanced data science techniques to develop smart city solutions, whereas Urban Data Analysts primarily interpret urban data to inform planning and policy decisions.

What are popular job titles related to Smart City Data Science jobs?

For Smart City Data Science jobs, the most frequently searched job titles are:

Data Scientist III

Chantilly, VA • On-site

Smart Data
IT Services • 51 - 200 employees
Learn more about Smart Dataexternal

$135K - $180K/yr

Full-time

Posted 13 days ago

Key responsibilities

  • Collect, organize, and analyze technical information from multiple sources to support mission objectives and quick-turn tasks.

  • Design and implement machine learning and data engineering techniques applied to advanced S&T missions.

  • Propose, develop, and execute creative data science solutions, including new data sources and data exploitation techniques.

Job description

Data Scientist III


Chantilly, VA (on-site at client facility)


Full-Time, Long-Term Contract (1-Year Assignment, Temp-to-Perm Possible)


Clearance Required: Active TS/SCI with Polygraph (Required — must be a U.S. Citizen)


Job Summary


We are seeking a Data Scientist III to support a mission-critical program in the Chantilly, VA area. This role focuses on applying data science, machine learning, and data engineering techniques to advanced science and technology (S&T) mission challenges. The ideal candidate is technically curious, comfortable working across diverse and multi-source data, and skilled at turning complex data into actionable insight.


Responsibilities


- Collect, organize, and analyze technical information from multiple sources to drive mission objectives and quick-turn tasks in fast-paced environments

- Aid in the design and implementation of machine learning and data engineering techniques applied to advanced S&T missions

- Apply technical proficiency in data collection and analysis tools to S&T mission areas, improving existing techniques and devising new ones to solve mission-critical data science challenges

- Collaborate in a multi-disciplinary environment while working independently and leading tasks on time and on budget

- Independently propose, develop, and execute creative solutions to unique data science problems, including suggestions for new data sources and data exploitation techniques

- Deliver thorough, polished work products requiring only minor revision

- Proactively manage expectations and meet deadlines in a fast-moving, agile environment

- Maintain excellent communication with both co-located and geographically dispersed team members


Required Qualifications


- Experience using tools for collecting, assembling, interpreting, translating, and analyzing multi-source data (S&T information, network, open source, databases) and synthesizing it into actionable intelligence

- Experience applying machine learning, statistics, and/or data mining techniques to gain insights from data

- Experience automating data pipelining processes, data transformation, databases, and/or repositories

- Experience assessing and technically reporting on technologies and scientific topics (e.g., Technology Readiness Levels (TRL) and Critical Technology Elements (CTE))

- Experience working with diverse media and advanced S&T data

- BS with 8+ years of relevant experience; MS with 5+ years of relevant experience; PhD in a relevant field with 3+ years of experience; or an equivalent combination of education and experience in a relevant field

- Genuine excitement for learning new technical subject areas and curiosity about S&T missions

- Experience supporting national security, defense, and/or intelligence community missions

- Must be a U.S. Citizen with an active TS/SCI clearance with polygraph (non-negotiable)


Additional Details


- Assignment Length: 1 year (temp-to-perm possible)

- Schedule: Standard hours (40/week)

- Work Location: On-site required

- Interview Process: Video interview with hiring manager and technical team

- Relocation Candidates: Will consider hiring via video interview for non-local candidates willing to relocate

- Target Start Date: 09/01/2026


Smart Data Systems is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic under applicable federal, state, or local law.