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Smart City Data Science Jobs (NOW HIRING)

This role will also manage and develop other data scientists. You will promote effective ... The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well ...

In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this ... In select cities within the San Francisco and New York City metropolitan area, the base salary ...

In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this ... In select cities within the San Francisco and New York City metropolitan area, the base salary ...

This role will also manage and develop other data scientists. You will promote effective ... The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well ...

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 ...

Associate, Data Science

Manhattan, NY · On-site

$65K - $65K/yr

We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving ... This person will apply sophisticated data science, modeling, and other advanced analytics ...

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 ...

Design smart promos. * Skilled in subscriber/customer journey mapping. * Skilled in Bayesian or ML ... The hiring salary range for this position applies to New York City, California, Colorado ...

About the Role The Senior Account Executive drives new business growth for Smart City Telecom across Orlando and Central Florida, marketing our full portfolio of voice, broadband, and data networking ...

NY · On-site

About The Role Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and ...

Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges. Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise ...

Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges. * Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise ...

Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges. Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise ...

Several years of data science experience are preferred. Requirements You need to be: Independent Smart Good at communicating Capable Python programmer Able to think critically and effectively about ...

We support a wide range of digital payments choices, making transactionssecure, simple, smart and ... Role As an individual contributor working within a growing data science team, you will take ...

Showing results 41-60

Smart City Data Science information

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$56

$81

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

As of Sep 10, 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 Science Manager

Jersey City, NJ • On-site

FanDuel
Arts, Entertainment, and Recreation • 501 - 1,000 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


FanDuel rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies


Job description

THE POSITIONOur roster has an opening with your name on it
We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges. This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
  • Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
  • Iterate and improve on betting product range to ensure market leading offering
  • Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
  • Manage a group of Data Scientists to develop production-ready models and solve company-wide challenges
  • Choose appropriate tools, systems and models to solve large data problems
  • Troubleshoot and resolve coding and modeling problems presented by others
  • Proactively seek opportunities or problems to be analyzed
  • Put together project plans for the Data Science team to follow
  • Present to senior leaders confidently and with impact
  • Construct models, analyses and solutions in response to a question or problem posed by a stakeholder or colleague
  • Manage the data preparation process from collection through cleaning
  • Build robust predictive models, showing capabilities of feature and model selection
  • Contribute to a production code environment
  • Work with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights and improve business results
  • Create dashboards and data visualizations for analysis and communication
  • Identify, grow and develop top talent within the Data Science organization
  • Lead regular forums within or across teams to ensure key decisions and conclusions are disseminated and understood
  • Make significant contributions to, sets agenda for and helps steer large group meetings
  • Determine inefficiencies in ways of working and seeks to solve them

THE STATS
What we're looking for in our next teammate
  • Minimum of 5 years' of industry experience in data science, analytics or engineering preferred
  • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
  • Experience managing or mentoring other data scientists or analysts
  • Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding language of choice)
  • Strong understanding and application of Bayesian statistics
  • Expert in building and using models to help create production level products and tools
  • Proficient with command line tools and GitHub
  • Object-oriented design and coding skills
  • Strong verbal and written communication skills - present findings and analysis to senior management, being totally accountable for the entire agenda of the projects owned
  • Help the stakeholders in understanding the business KPIs
  • Bring efficiency and automation in the data infrastructure
  • Ability to work across teams, locations and time zones
  • Willing to work nontraditional hours when applicable
  • Interest or experience in Sports Gaming and/or Fantasy Sports

ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email
The applicable salary range for this position is $149,000 - $186,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid

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