Geospatial Data Scientist

Allstate Insurance Company; Springfield (IL); On-site; USD 78,000 - 143,000; Full time

Job summary

An established industry player is seeking a Geospatial Data Scientist to innovate and develop analytical solutions that enhance business decisions. In this dynamic role, you'll leverage geospatial data, create machine learning models, and develop deployable products to support critical business outcomes. Collaborating with a talented team, you'll tackle complex challenges and contribute to a robust geospatial data library. This position offers a unique opportunity to grow your skills in a supportive environment that values diversity and inclusion. If you're passionate about data science and geospatial analysis, this role is perfect for you.

Qualifications

• 3 years of related experience in geospatial analysis.
• Experience with machine learning models and data pipelines.

Responsibilities

• Develop geospatial analytical solutions and machine learning models.
• Create deployable mapping products using ArcGIS and Python.

Skills

ESRI Software

Geospatial Data

Machine Learning

Python (Programming Language)

Education

Graduate degree in data science

Graduate degree in computer science

Graduate degree in Geographic Information Systems

Tools

ArcGIS Enterprise

Python

JavaScript

Linux systems

SQL

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description
As a Geospatial Data Scientist, you'll be responsible for developing geospatial analytical solutions independently and in collaboration with other data scientists. This will include identifying, retrieving, and utilizing both spatial and non-spatial data from a variety of sources such as Allstate databases, vended data, and public data. You'll also support the development of new machine learning models, data pipelines, and analytics to provide deep insights and support business decisions. Creation of deployable geospatial products, including spatial web applications leveraged by thousands of users to support data analysis and analytical tasks will also be an expectation. You will manage projects of small to medium complexity and will work both independently and as a member of a team.

Key Responsibilities:

• Create and support machine learning models (ex: optimization, clustering, linear regression, etc.) using geospatial data.
• Create deployable mapping products and applications using ArcGIS Enterprise, python, and other scripting languages to support improved business outcomes.
• Work with team members and business partners to understand requirements, identifying the data sources and methods required to deliver a product that achieves business goals.
• Contribute to the maintenance of the ArcGIS Enterprise technology stack by troubleshooting issues, working towards robustness efforts, and providing user education.
• Contribute to the maintenance of a geospatial data library with sufficient metadata and documentation to maintain reusable spatial data that will support numerous customer requirements.
• Help troubleshoot data quality and modeling issues - identifying root cause/system & documentation/communication of resolution.
• Maintain and enhance skills in geospatial analysis and data science and actively provide leadership in the application of these skills to solve core business problems.

Supervisory Responsibilities:

This job does not have supervisory duties.

Preferred Qualifications:

Education and Experience

• Graduate degree in data science, computer science, or a field related to geospatial analysis, such as Geographic Information Systems, Geography, Environmental Science or Geology.
• 3 years of related experience
• Experience with ArcGIS Enterprise, python, JavaScript, Linux systems, and SQL

Certificates, Licenses, Registrations

• ESRI Desktop, Developer, Enterprise Certification or GISP Certification

#LI-TE1

Skills
ESRI Software, Geospatial Data, Machine Learning, Python (Programming Language)

Compensation
Compensation offered for this role is $78,600.00 - 142,275.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

You'll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we've proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.