Data Scientist Innovation at Allstate

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
Allstate is seeking to hire a Senior Data Scientist to join our Innovation team at our downtown Chicago location. Allstate’s Innovation Team is at the forefront of change and growth within the company, driving the creation of standalone businesses or reinvention of existing ones. Innovation projects typically include cross-functional team members within Business Strategy, Product, Technology, Design, and Go to Market functions, who use data-driven prototypes and testing to achieve desired business outcome. Past projects in the team have included the development of a new consumer “digital footprint” technology, announced at CES 2019, and a project to transform the life insurance underwriting process by leveraging Electronic Health Records (EHRs). The team is currently focused on a very high profile initiative helping Allstate’s Marketing department transform its Customer Acquisition Sophistication through the development of predictive models leveraging a wide variety of behavioral and demographic consumer data points.
Key Responsibilities:
The Senior Data Scientist will develop advanced predictive models and exploratory data analyses that will
unveil key data insights leveraging both structured and unstructured data. This role will work closely with Data
Engineering and the business team to determine what data insights need to be derived and the problem
statement that should guide the analysis in order to solve business problems. This individual will be a key
communicator of analytical results and insights to various stakeholders across and outside the company. This
will require an advanced understanding of which data visualizations and techniques will be most effective in
communicating insights to the business team. The Senior Data Scientist will be required to drive all analytics
efforts supporting the product development lifecycle.
Education and Experience:
Bachelor’s degree in a quantitative or technical field such as mathematics, statistics, computer science, or engineering with 6 or more years of experience in a data science and/or predictive analytics role 
OR
Masters or Ph.D. degree in a relevant discipline with 3 or more years of experience in a data science and/or predictive analytics role.
Ability to independently develop advanced statistical and machine learning models using a variety of techniques (e.g. GLM, Neural Networks, Treebased learning methods).
Comfortable bringing new ideas to the team and assessing their benefits over currently used methodologies.
Ability to identify the appropriate modeling technique given a problem statement based on the availability, variety, and quality of data.
Ability to identify and define a problem statement given a business problem.
Expert level knowledge in one or more languages commonly used in data analytics (Python, R, Java, Scala, etc.). Python / R proficiency is strongly preferred.
Pyspark experience is preferred.
Strong knowledge in SQL and database management with bigdata platforms.
Experience visualizing complex data insights using tools such as ggplot2 in R or seaborn/matplotlib in Python.
Experience in managing, validating, and manipulating large, complex datasets.
Strong ability to communicate complex analyses and concepts to nontechnical audiences within and outside of the organization.
Comfortable performing independent research to support analytics decisions as part of the product lifecycle.
Compensation offered for this role is $97,000.00-$130,000.00 per year + Bonus and is based on experience and qualifications.
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. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
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Allstate generally does not sponsor individuals for employment-based visas for this position.
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