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Job ID :
31619
Location :
Northbrook, IL US
Level :
Experienced Professional
Job Category :
Data Science & Analytics
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

Data Discovery and Decision Science (D3) is the research and analytics organization at Allstate.  We are solving some of today’s most complicated analytics problems, making the lives of our of Allstate colleagues easier and more productive, and driving our mission to deliver perfect insurance solutions to our customers.  We are avid about learning and applying new tools and techniques to get the most value from our massive data resources.  As a Sr. Data Engineer- Graph Database in D3 you will get 10% of your time to innovate, work on your own initiatives, learn, collaborate, and teach.  In partnership with technology and the business, we are incorporating analytics into every aspect of the enterprise.  We are deeply committed to developing ourselves and others as a path to success. 

 

In this role, you’ll use your experience with graph databases and other big data technologies in the development of data infrastructure, business solutions, and proof of concept to collaborate with and empower the Claims analytics teams in D3 with the datasets they need for modeling, including creating new and maintaining existing data acquisition processes end to end.  You will also help shape the use of graph databases at Allstate.  You are a bold, consultative thought leader who loves looking at problems from a business and a technical perspective and conceptualizing and delivering elegant, repeatable, beyond scope solutions that our non-technical colleagues are eager to use.

 

Key Responsibilities:

 

  • Utilize multidisciplinary approach to Data Analytic problems to combine technical, analytics and business knowledge.
  • Leverage previous experience to lead large work streams in graph theory and implementation.
  • Break down business problems into solvable components to recommend solutions.
  • Demonstrate high degree of analytic agility to meet fluid and dynamic business needs.
  • Use a wide variety of tools and languages to achieve results.
  • Rapid, hands-on development of new data and analytics prototypes.
  • Develop and deliver data infrastructure to enable advanced analytics.
  • Explore data sources to better understand the availability and quality of data.

Job Qualifications

 

  • Bachelor’s degree in computer science, mathematics, or equivalent; Master's or PhD is a plus
  • 4+ years of relevant experience
  • Experience with graph theory and implementation, including development of graph queries, graph database technology, graph algorithms.  (Current framework is TinkerPop.)
  • Experience with Gremlin or other query languages for graph computing. 
  • Extensive experience in Design, Distributed Systems, Data Structures, Algorithms
  • Experience coding and developing prototypes in languages such as Python, Scala, SQL
  • Experience with the Hadoop ecosystem
  • Experience discovering and integrating new datasets, building data pipelines, doing complex transformations, process automation, testing, and validation
  • Experience mentoring junior staff, strong desire to share and inform others
  • Experience working with data in support of predictive modeling strongly preferred
  • Previous experience with fraud analytics preferred


The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.

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.

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