Allstate D3 - Sr. Data Scientist - Link Analysis Lead and Product Manager in Charlotte, North Carolina
D3 - Sr. Data Scientist - Link Analysis Lead and Product Manager
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Job ID :
Charlotte, NC US
Job Category :
Data Science & Analytics
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.
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 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 Senior Data Scientist 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.
The Sr. Data Scientist - Link Analysis Lead and Product Manager oversees the Link Analysis work within D3 Claims Analytic Oversight. The goal of this work is to fight fraud by using analytics to detect suspicious relationships between entities in the claims process. The Link Analysis Lead will provide functional and technical strategies for enabling business decisions with actionable data and analytics. This individual will contribute to both the leadership and technical aspects of link analysis projects.
The Link Analysis Lead exhibits influence on peers, the broader team, and outside stakeholders. They are a key driver in identifying and implementing process improvements that lead to increased efficiency and quality. They understand business needs and corporate goals and apply strategic thinking to develop measures to reach such goals.
Technical responsibilities include the development and recommendation of new machine learning predictive modeling algorithms, the development of tools that use link analysis/machine learning/predictive modeling and graph databases to make business decisions, and searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions).
The role is also responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists.
Oversees the day-to-day operations of the Link Analysis team and the design and delivery of Link Analysis products
Provides strategic direction and takes accountability for requirements, procedures and standards
Manages the portfolio/inventory of all Link Analysis projects with minimal support to ensure projects are implemented on time, at or under budget, and with high quality
Works directly with business partners to develop, communicate and execute on projects
Demonstrates influential leadership and leads by example when handling ambiguous and difficult situations
Works across the team to ensure coordination of the project portfolio with other initiatives
Acts as liaison with business partners and technology for Link Analysis projects, identifying and driving resolution to issues impacting project quality and timely implementation of initiatives
Represents team in project meetings to communicate results, issues, timelines, etc.
Provides regular reporting for assigned projects
Influences business partners and senior leadership on the effectiveness of graph databases / link analysis / predictive modeling to solve their business problems
Uses, communicates, and enforces best practices to develop statistical, machine learning techniques to build models that address business needs
Master’s or PhD in a quantitative field such as statistics, mathematics, computer science, finance, or economics preferred
Proven experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Ability to lead a project team of various skills levels.
Ability to interact with the business and drive product strategy
Proven experience in managing and manipulating large, complex datasets
Proven experience using graph databases and link analysis to solve business problems preferred.
Proven ability to code and develop in languages such as Python, Perl, Java, C
Proven knowledge of advanced modeling techniques
Ability to train, develop, and teach more junior modelers
Ability to analyze and interpret complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Advanced proficiency in Microsoft Office suite
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.
Learn more about life at Allstate. Connect with us on Twitter at http://jb.al.st/BWGk6 , Facebook at http://jb.al.st/BWGka , Instagram at http://jb.al.st/BWGlO and LinkedIn at https://www.linkedin.com/company/allstate/careers or watch a video at http://jb.al.st/BWGpG .
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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