Marketing Decision Science Data Scientist

Date Opened: Nov 20, 2021

Location: Remote, Remote, US

Company: Allstate Insurance Company

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

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. Data, Discovery & Decision 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 execution 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 small to medium complexity.

Key Responsibilities

  • Uses best practices, with limited coaching, to develop statistical, machine learning techniques to build models that address business needs
  • Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
  • Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop)
  • Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
  • Innovates on projects by using new modeling techniques or tools
  • Contributes on a wide variety of projects
  • Executes on modeling/machine learning projects effectively
  • Communicates findings to team and leadership ensure models are well understood and incorporated into business processes 
  • Works with leaders to ensure the project will meet their needs
  • Maximizes personal professional development to ensure continuation of a personal contribution to the team and Allstate
  • Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
     

Knowledge/Skills/Abilities/Experience

  • 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 preferred
  • Experience in managing and manipulating large, complex datasets
  • Experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc. preferred
  • Ability to code and develop prototypes in languages such as Python, Perl, Java, C preferred
  • Knowledge of advanced modeling technique preferred
  • Demonstrated Analytic Agility 
  • 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 
     

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.

 

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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It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.