Data Scientist Senior Consultant  (Remote - Home Based Worker)

Date Opened: Nov 14, 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

 

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.
 

Key Responsibilities

 

  • 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
     

Knowledge/Skills/Abilities/Experience

 

  • Degree in a quantitative field such as statistics, mathematics, computer science, finance.
  • Master’s or PhD, preferred, with 5 or more years of experience
  • Bachelors and 8 or more years of experience
  • Previous predictive pricing or (UW) underwriting modeling experience is preferable
  • Experience within insurance industry is highly desired
  • 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
  • Previous predictive UW modeling experience is preferable.

 

The compensation range for this position is $95,000 to 115,600 per year 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/

 

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 click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

 

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

 

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

 

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.