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At Home Data Scientist Risk Jobs in Harvey, IL (NOW HIRING)

SageSure

Data Scientist

Chicago, IL · On-site

Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk ... Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on ...

Munich Re

Data Scientist

Chicago, IL · On-site +1

... at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML ... roadmap! We focus on developing and maintaining predictive models that support all domains across ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Translate risk management business requirements into well-defined data science solutions, including ... incident prioritization and claim severity classification. * Profile, clean, and prepare claims and ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... This role will help risk management teams identify high-risk incidents earlier, classify claims by ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Translate risk management business requirements into well-defined data science solutions, includin g incident prioritization and claim severity classification. * Profile, clean, and prepare claims ...

Munich RE

Data Scientist

Chicago, IL · On-site

... at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML ... roadmap! We focus on developing and maintaining predictive models that support all domains across ...

Kemper

Data Scientist

Chicago, IL · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

At Ulta Beauty, our tech team is critical to our scalability--and is recognized that way. We've ... As a Data Scientist, you will succeed by mining our rich data assets to develop features ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been ... As a Data Scientist, you will succeed by mining our rich data assets to develop features ...

PayPal

Staff Data Scientist

Chicago, IL · On-site

Maintain and enhance data-driven authentication risk strategies to support PayPal's global ... at your choice of either the PayPal office or your home workspace, ensuring that you equally have ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

At Ulta Beauty, our tech team is critical to our scalability--and is recognized that way. We've ... As a Data Scientist, you will succeed by mining our rich data assets to develop features ...

PayPal, Inc.

Sr Data Scientist

Chicago, IL · On-site

Partner with Finance, Strategy, Collections, Risk, and Business teams to ensure accurate ... at your choice of either the PayPal office or your home workspace, ensuring that you equally have ...

PayPal

Sr Data Scientist

Chicago, IL · On-site

Partner with Finance, Strategy, Collections, Risk, and Business teams to ensure accurate ... at your choice of either the PayPal office or your home workspace, ensuring that you equally have ...

Dlapiper

Data Scientist

Chicago, IL · On-site +1

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

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Showing results 1-20

All JobsAt Home Data Scientist Risk JobsAt Home Data Scientist Risk Jobs in Harvey, IL

At Home Data Scientist Risk information

See Harvey, IL salary details

$35.9K

$117.6K

$188.2K

How much do at home data scientist risk jobs pay per year?

As of Sep 1, 2026, the average yearly pay for at home data scientist risk in Harvey, IL is $117,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $130,300.00 per year, depending on experience, location, and employer.

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What cities near Harvey, IL are hiring for At Home Data Scientist Risk jobs?

Cities near Harvey, IL with the most At Home Data Scientist Risk job openings:

At Home Data Scientist Risk jobs near you

Data Scientist

SageSure

Chicago, IL • On-site

Full-time

Posted 22 days ago

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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