Data Scientist Consultant II  (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 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 business 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 and executes on modeling/machine learning projects effectively, contributing to a wide variety of projects
  • Reviews, evaluates and communicates appropriateness of modeling techniques and results to team and leadership to ensure these are well understood and incorporated into business processes
  • 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
  • Utilizes effective project planning techniques to break down basic and occasionally moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
     

Job Qualifications

 

Education and Experience 

  • Master’s or PhD with 2 or more years of related experience
  • Bachelors with 4 or more years of experience
  • Previous predictive pricing or (UW) underwriting modeling experience is preferable
  • Experience within insurance industry is highly desired.

 

Functional Skills

  • Experience in managing and manipulating large, complex datasets and 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 and ability to quickly learn and switch topics
  • Ability to use and learn a wide variety of tools and languages to achieve results 
  • Experience working with Agile team
  • Ability to code and develop prototypes 
  • Knowledge of advanced machine learning techniques and libraries
  • Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making 
  • Knowledge of full stack development, such as, to code and develop prototypes in languages such as Python, Perl, Java, C
  • Experience with advanced system programing
  • Knowledge of statistical software such as SAS, SPSS, MatLab, R, CART, etc.
  • Understanding of the Insurance market place; economics and regulations is highly desired

Compensation range for this position is $86,000 to $104,400 per year based on exp 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.

 

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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.