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Data Scientist Smart Cities Jobs (NOW HIRING)

Vay

Senior Data Scientist

Las Vegas, NV · On-site

You'll work on the data and algorithms that define how Vay's vehicles navigate cities safely and ... Why choose Vay A global team of smart, motivated people from 30+ countries who love tackling hard ...

Meetcute

Data Scientist

Provo, UT

As a growing company, we're looking for smart, curious people to answer questions and provide ... Several years of data science experience are preferred. Requirements You need to be: Independent ...

The Home Depot

Senior Data Scientist

Milwaukee, WI

Build your best future with the Johnson Controls team As a global leader in smart, healthy and ... Our global team creates innovative, integrated solutions to make cities more connected and ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

Build your best future with the Johnson Controls team As a global leader in smart, healthy and ... Our global team creates innovative, integrated solutions to make cities more connected and ...

Orion180

Data Scientist

Irving, TX · On-site

Orion180 is proud to call three vibrant cities home. Our headquarters on Florida's stunning Space ... We have an exciting and impactful opportunity for a Data Scientist to join our growing analytics ...

PECO

Prin Data Scientist

Philadelphia, PA · On-site

Work with us to deliver solutions that make our diverse cities and communities stronger, healthier ... series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... that build healthy, smart, vibrant communities. We are one of the largest dental plan ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... that build healthy, smart, vibrant communities. We are one of the largest dental plan ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

But for those motivated by continual change and ambiguity, by superior leadership, by whip smart ... As a Data Scientist, you will succeed by mining our rich data assets to develop features ...

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All JobsData Scientist Smart Cities Jobs

Data Scientist Smart Cities information

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$46K

$165K

$243.5K

How much do data scientist smart cities jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data scientist smart cities in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Scientist Smart Cities vs Data Analyst Smart Cities?

AspectData Scientist Smart CitiesData Analyst Smart Cities
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often some experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analysis
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning algorithms for urban dataPerforms data cleaning, reporting, and descriptive analysis of city data sets
Employer & Industry UsageMunicipal governments, urban planning agencies, tech companies focusing on smart city solutions

Data Scientist Smart Cities focus on building predictive models and advanced analytics to solve complex urban problems, while Data Analysts primarily handle data reporting and descriptive analysis. Both roles are essential in smart city initiatives but differ in technical depth and scope.

What does a Data Scientist do in the context of Smart Cities?

A Data Scientist working in Smart Cities uses advanced data analytics, machine learning, and statistical techniques to analyze large volumes of data generated by urban infrastructure, sensors, and citizen interactions. Their goal is to extract actionable insights that help city planners and officials optimize urban services, improve sustainability, and enhance the quality of life for residents. Typical projects might involve traffic optimization, energy usage prediction, public safety improvements, and environmental monitoring.

How do Data Scientists working in Smart Cities typically collaborate with urban planners and public sector stakeholders?

Data Scientists in Smart Cities often work closely with urban planners, city officials, and public agencies to translate complex data into actionable insights for city development. This collaboration involves presenting data-driven recommendations, participating in cross-functional meetings, and tailoring analytics to meet policy and infrastructure needs. Regular communication is vital to ensure technical solutions align with broader city goals such as sustainability, mobility, and citizen well-being. Building trust and understanding with non-technical stakeholders is key to implementing successful data-driven initiatives.

What are the key skills and qualifications needed to thrive as a Data Scientist in Smart Cities, and why are they important?

To thrive as a Data Scientist in Smart Cities, you need strong analytical skills, proficiency in statistical modeling, and a solid background in computer science, mathematics, or engineering. Familiarity with big data tools (like Hadoop or Spark), programming languages (such as Python or R), and experience with GIS systems or IoT platforms are typically required, alongside relevant certifications. Excellent problem-solving, communication, and collaboration skills help translate complex data into actionable insights for diverse stakeholders. These competencies are crucial for leveraging urban data to drive innovation, efficiency, and sustainability in smart city initiatives.
Infographic showing various Data Scientist Smart Cities job openings in the United States as of May 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist, Smart Maintenance, & Equipment Reliability

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX

Other

Posted 7 days ago

Patterson-UTI rating

4.4

Company rating: 4.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

71st of 74 rated oil and gas companies

Job description

As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to reduce operational uncertainty and strengthen uptime during dynamic operations. You will help modernize maintenance and failure workflows to uncover subtle trends that traditional evaluations may miss, helping the company pursue a meaningful asset-life advantage. By moving data automatically across systems and removing reliance on manual reconciliation, you will help build a foundation for real-time maintenance management and total cost of ownership visibility. Your work will empower field teams with consolidated, purpose-built data that transforms every intervention into a precise, closed-loop maintenance event.

Key Responsibilities:

  • Support the development of predictive models and automated tracking tools to help maintenance teams shift from reactive to proactive workflows.  

  • Assist in the integration of equipment telemetry and various data streams into modeling frameworks to improve lifecycle management.  

  • Help build and test internal AI-driven tools and trend models to streamline technical troubleshooting and root cause analysis.  

  • Contribute to the development of cost-visibility models to track equipment spend and total cost of ownership at different fleet levels.  

  • Assist in the rationalization and optimization of equipment alarm systems to improve alert quality and reduce operational noise.  

  • Monitor the impact of system alerts to help transition toward actionable, condition-based maintenance strategies.  

  • Support data integrity efforts by helping to link information across disparate internal systems and work order platforms.  

  • Collaborate on the design of user-friendly interfaces and digital aids that provide field personnel with accurate equipment history and procedures.  

Job Requirements:

  • Prior experience in equipment reliability, predictive maintenance or physics-based modeling in oil and gas

  • Expert programming skills in Python (SciPy, NumPy) for simulation and model development

  • Strong foundation in reliability engineering methods such as root cause analysis (RCA), alarm management KPIs, and failure mode modeling.

  • Strong communication skills with the ability to explain complex models to non-technical stakeholders

  • Ability to manage multiple priorities and deliver results on time

Minimum Qualifications:

  • Bachelor's degree in Mechanical Engineering, Petroleum Engineering, Data Science or related field

  • 0-5 years of experience applying data science modeling or reliability engineering in industrial settings

  • 2+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)

  • A basic understanding of maintenance workflows, work orders, and asset hierarchies is required. 

Preferred Qualifications:

  • Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred.

  • Master's degree or higher in a quantitative engineering or physical science discipline

  • Research publications or patents in equipment reliability, preventative maintenance or related areas

The Evolving Oil Field Demands Evolving Service Providers

NexTier is a leading provider of integrated completions that employs sustainable practices and equipment to support our customers' ESG goals while accelerating production in the most demanding US land basins.

Patterson-UTI is committed to a workplace free from discrimination and harassment, offering equal employment opportunities to all individuals regardless of personal characteristics protected by law. Employees are encouraged to report any concerns through multiple channels.


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