Data Scientist- Allstate Roadside Services

Allstate Northbrook , IL 60062

Posted 7 months ago

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

The role is responsible for leading the use of data to build predictive models and make decisions. This role must interpret and understand the Allstate Roadside Services business problems, analyze data requirements, recommend & build appropriate predictive models , coordinate and execute the projects, and communicate and share the business insights and actions recommend. Assess data and problems across departments to drive improved business results through designing, building, and partnering to implement models. Perform Data exploration, hypothesis creation, testing algorithms, scaling to large data-sets and validating results that deliver powerful insights into our data that can be used as a competitive advantage in our Network Operations, Call Centers, Claims, and more

Key Responsibilities

  • Build best-in-class predictive models and decision tools to address Allstate Roadside Services business needs by leveraging state-of-the-art machine learning and statistical algorithms

  • Identify new areas of data, research and build predictive models to improve Network Operations

  • Work on data and problems across ARS departments to drive improved business results through designing, building, and partnering to implement models

  • Manage data and data requests to improve the accuracy of our data and decisions made from data analysis

  • Use and learn a wide variety of tools and languages to achieve results (e.g., Business Objects, Tableau, R, Python, Hadoop, Oracle)

  • Use best practices to develop statistical, machine learning techniques to build models that address business needs

  • Develop frameworks/prototypes that integrate data and machine learning/predictive modeling to make business

  • Effectively understand the business problems and requirements to identify the optimal modeling approach

  • Communicate findings to ensure models are well understood and incorporated into business processes

  • Utilize effective project planning techniques to break down complex projects into tasks, manage scope of projects, and ensure deadlines are kept

  • Work with stakeholders to ensure the project will meet their needs

  • Identify and develop data sources to solve business problems

  • Manage various analytical and modeling projects with small number of team members

  • Influence business partners and senior leadership on the effectiveness of machine learning/predictive modeling to solve their business problems

  • Maximize personal professional development to ensure continuation of a personal contribution to the team and Allstate

Job Qualifications

  • Master's degree or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics. Proven experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making

  • At least 1-3 years of predictive modeling experience or equivalent skills & ability

  • Must be technically proficient, mathematically agile, business savvy and good at communicating

  • Proven experience in managing and manipulating large, complex datasets

  • Working business knowledge of Roadside Services particularly Network Operations, Call Centers, and Claims

  • Proven experience in working with statistical software such as R, SAS. R is preferred.

  • Understanding of the concept of experimental design such as A/B testing and familiar with statistical hypothesis testing

  • Proven ability to code and develop prototypes in languages such as Python, SQL, Perl, Shell Scripts

  • Proven knowledge of advanced modeling technique such as classification/regression, spatial analysis, time series analysis, etc.

  • Experience in operation research & management using linear/integer programming is a plus

  • Experience in hadoop/Spark/hive is a plus

  • Ability to train, develop, and teach more junior modelers

  • Ability to learn new technologies

  • Ability to analyze and interpret moderate to 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

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