Senior Data Scientist
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 Family Summary
Data Science incorporates techniques across many disciplines – including mathematics/statistics, computer programming, data engineering and ETL, software development, and high performance computing – with traditional business expertise with the goal of extracting meaning from data to optimize future business decisions. Individuals in this field should be an expert/fluent in several of these disciplines and sufficiently proficient in others to effectively design, build, and deliver end to end predictive analytics products to optimize future decisions. Individual demonstrates sufficient analytic agility to quickly develop new skills across these disciplines as those disciplines evolve. Quantitative Research and Analytics is responsible for aligning with and contributing to corporate objectives by identifying and developing growth and profitability opportunities that will enable Allstate to generate profitable market share growth. The Data Scientist family is accountable for using data to make decisions, which includes building predictive models and developing new machine learning techniques that enable Allstate to make better decisions to achieve its goals. The Data Scientist Family requires Analytic Agility, the ability to quickly learn new modeling/machine learning techniques, programming languages, and see how these ideas can integrate to optimize the business.
This role is responsible for leading the use of data to make decisions. This includes the development and management of new machine learning predictive modeling algorithms; the coding\development of tools that use machine learning/predictive modeling to make business decisions; searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions); and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also begin to manage projects of medium complexity.
Uses best practices to develop statistical, machine learning techniques to build models that address business needs
Manages data and data requests to improve the accuracy of our data and decisions made from data analysis
Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop)
Identifies languages and tools that can bring efficiencies or needed techniques to the team
Works on data and business problems to drive improved business results through designing, building, and partnering to implement models
Collaborates the with team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
Understands the business' problems to identify the optimal modeling approach
Communicates to team members, leadership and stakeholders on findings to ensure models are well understood and incorporated into business processes
Utilizes effective project planning techniques to break down moderately complex projects into tasks and ensure deadlines are kept
Works with leaders to ensure the project will meet their needs
The development and execution of a communication strategy, with appropriate coaching, that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work
Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
Degree in a quantitative field such as statistics, mathematics, computer science, finance.
Master's or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics
Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Experience in managing and manipulating large, complex datasets
Experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc.
Understanding of the Insurance market place; economics and regulation preferred
Ability to code and develop prototypes in languages such as Python, Perl, Java, C
Knowledge of advanced modeling technique
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
Demonstrated analytic agility
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, 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.
For jobs in San Francisco, please see the notice regarding the San Francisco Fair Chance Ordinance.
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.
Meet Some of Allstate's Employees
Data Analytics Engineer
Patrick supports the work of his fellow Data Scientists by coding predictive models. He works to create functional Allstate products by making sense of the company's vast amount of customer data.
Back to top