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Live In Data Collector Jobs in Addison, IL (NOW HIRING)

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join ... live in. We recognize that our differences make us strong, and we actively seek out diverse ...

Data Architect

Chicago, IL

$65.75 - $84.50/hr

Strong hands-on, experience in AWS, Databricks, PySpark, ETL, and Delta Live Tables (DLT). Good understanding of modern data lakehouse architecture. Experience in data modeling, orchestration, and ...

... in goals including continuous data evaluations each month Maintain a clean and safe environment for our clients Observe and properly Implement Behavior Management plans including proactive and ...

... in goals including continuous data evaluations each month Maintain a clean and safe environment for our clients Observe and properly Implement Behavior Management plans including proactive and ...

Showing results 21-40

Live In Data Collector information

See Addison, IL salary details

$10

$20

$29

How much do live in data collector jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for live in data collector in Addison, IL is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $24.09 per hour, depending on experience, location, and employer.

What is the difference between Live In Data Collector vs Field Data Technician?

AspectLive In Data CollectorField Data Technician
CredentialsHigh school diploma or equivalent; training in data collection methodsHigh school diploma; technical training or certifications often preferred
Work EnvironmentResidential settings, living on-site or nearbyVarious outdoor and indoor locations, traveling frequently
Employer & IndustryResearch firms, market research companies, government agenciesUtility companies, environmental agencies, research organizations

While both roles involve collecting data in the field, Live In Data Collectors typically reside on-site to gather specific information, often in residential settings. Field Data Technicians usually travel to multiple locations, working outdoors or in various environments. Both roles require similar credentials but differ mainly in work setting and living arrangements.

How much do live in data collectors get paid?

Live-in data collectors typically earn between $10 and $20 per hour, depending on the location, complexity of data collection tasks, and experience. Some positions may offer a fixed daily or weekly rate, especially if accommodations are provided as part of the compensation. Pay rates can vary widely based on the employer and specific job requirements.

What cities near Addison, IL are hiring for Live In Data Collector jobs?

Cities near Addison, IL with the most Live In Data Collector job openings:

Infographic showing various Live In Data Collector job openings in Addison, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Data Scientist

SageSure

Chicago, IL • On-site

Full-time

Posted 25 days ago


Key responsibilities

  • Combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.

  • Develop scalable analytical tools, automate workflows, and analyze spatial, property, policy, and claims data to support business decisions.

  • Support building software applications, analytical tools, and data pipelines to automate underwriting, risk analysis, and facilitate business operations.


Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.
You will develop scalable analytical tools, leverage spatial, property, policy and claims data, automate complex workflows, and work within a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management - to support profitable growth.
The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques.
What you'd be doing:
  • Deliver analytical insights that support business decisions as a member of a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management.
  • Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management.
  • Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities.
  • Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency.
  • Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems.
  • Support building software applications and analytical tools that automate underwriting and risk analysis.
  • Build reusable data pipelines and automate data collection, cleansing, transformation, to support underwriting, product development and risk management.
  • Design and maintain geospatial datasets using internal and third-party data sources.
  • Develop software applications and APIs that support underwriting analytics and business decision making.
  • Mentor junior team members and promote best practices for AI use within the department.
  • Perform other duties and special projects as assigned

We are looking for someone who has:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline.
  • 5 to 7 years of experience in data science, analytics, software development, or geospatial analytics.
  • Experience with statistical modeling techniques and building predictive models using Python, SAS or R, and strong statistical modeling techniques
  • Experience developing solutions using SQL and relational databases.
  • Experience working with large structured and unstructured datasets.
  • Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies.
  • Experience developing automated data processing and analytical workflows.
  • Experience building software applications or analytical tools that support business operations.
  • Strong problem-solving and communication skills

Highly preferred candidates also have:
  • Experience in Property & Casualty insurance.
  • Familiarity with catastrophe models and exposure management.
  • Experience with geospatial statistics and spatial modeling.
  • Experience with AI and Generative AI technologies.
  • Experience with C#, .NET, or software engineering principles.

About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
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