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Job ID :
91229
Location :
Chicago, IL US
Level :
Experienced Professional
Job Category :
Information Technology
Description :

Where good people build rewarding careers.

Think that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.


Job Description

Arity

Arity is a new technology company that uses advanced predictive analytics to help partners evaluate risk and make sense of everyday experiences. Our proprietary algorithms analyze billions of data points, distilling the flood of information into simple, actionable insights. Chief among these is the Arity Driving Score, which models billions of miles of driving and claims data to assess risk, gauging each driver’s likelihood of an event.

 

Founded by The Allstate Corporation, an organization synonymous with protection and preparation, Arity is born from a long-standing commitment to deep customer understanding and future-focused innovation. Fueled by the curiosity of a startup, our expertise begins with connected car, providing applied insights that meet insurer and transportation/mobility company needs and enhance driver safety, connectivity and value.

 

Don’t miss this opportunity to join a team where your innovative thinking and technology skills can improve the safety of those on the road and further enhance the car-ownership experience.

 

Job Summary

 

This role is responsible for leading efforts of medium to high complexity and critical tracks of delivery of Big Data platforms to make decisions. This includes the development and recommendation of new Big Data systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; searching for and integrating new tools to improve descriptive, predictive, and prescriptive analytics; and discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions

 

Successful candidates will have experience with spatial data in Big Data Platforms. This will involve the creation, maintenance, and retrieval of spatial data from various 3rd party suppliers. You will be asked to assist our product engineering teams by creating spatially enabled APIs and algorithms that can enrich and provide Arity customers with the best experience.

Key Responsibilities

  • Make major contributions to the Big Data direction and strategy for the group in partnership with their peers.
  • Defines the strategy for maintaining spatial data within the Arity analytics platform.
  • Develops spatially enabled algorithms and APIs to enrich Arity’s products.
  • Develops technical solutions using Big Data techniques in data & analytics processes.
  • Executes highly complex functional work tracks for the team.  Drives the execution of operational/technical objectives for data analytic outputs and business solutions.
  • Is an active technical leader within the department   
  • Supports Innovation; regularly provides new ideas to help people, process, and technology that interact with analytic ecosystem.
  • Uses, learns, teaches, and supports a wide variety of Big Data and Data Science tools to achieve results (i.e., R, ETL Tools, Hadoop, and others).
  • Uses, learns, teaches, and supports a wide variety of programming languages on Big Data and Data Science work (i.e. Java, C#, Python, and Perl).
  • Trains, develops, and teaches more junior engineers.

Job Qualifications

  • 3 - 5 Years of experience or equivalent skills & ability
  • Master’s or PhD preferred in a quantitative or scientific field such as computer science, computer engineering or equivocal experience.
  • Experience with spatial data and data structures.
  • Knowledgeable in GIS concepts, tools, and data (vector, raster, 3D models, etc.)
  • Knowledge of coordinate geometry and spatial reference systems
  • Experience in using software development to drive data science & analytic efforts.
  • Experience with database & ETL technologies.
  • Experience with various data types (e.g. Relational, Unstructured, Hierarchical, and Linked “Graph” Data).
  • Experience in developing, managing, and manipulating large, complex datasets.
  • Proven ability to code and develop prototypes in languages such as Python, Perl, Java, C, R, SQL, and XSLT.
  • Ability to communicate and present advanced technical topics to general audiences.
  • Leading project teams of various skills levels.
  • Understanding of predictive modeling techniques a plus.

 


Good Work. Good Life. Good Hands®.

As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.

Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.



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 policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.

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