Data Scientist - Senior Manager (Remote/Home-Based Worker)

Date Opened: Nov 12, 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 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. Data, Discovery & Decision is responsible for aligning with and contributing to corporate growth and profitability objectives by identifying and developing pricing opportunities which 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 Allstate’s goals.

Job Summary

This role is responsible for leading work that uses data to make decisions that enable Allstate to profitably grow.  This includes the development of underwriting strategies that leverage the state of art machine learning/predictive modeling. The role is responsible for the development of automated decision making strategies that enable business decisions to be made using tool that optimize outcomes. The role is accountable for development of teams that maintain the tools developed by the Data Scientists. The role determines the optimal portfolio of projects to execute and leads a team of managers and data scientists to successfully execute and implement those projects. 

Key Responsibilities

 

Develops and builds alignment around machine learning/predictive modeling, optimization strategies

 

  • Builds & evolves vision and strategy of using machine learning/predictive modeling, optimization and data 
  • Builds alignment for vision and strategy of using machine learning/predictive modeling, optimization and data with Line Management, Analytics and other business partners, fostering relationships and engaging resources across departments
  • Leads efforts for continuous improvements with data, tools, methodology and processes
  • Advances machine learning/predictive modeling, optimization development within the department
  • Serves as subject matter expert and consultant on product related issues inside and outside the department

 

Develops, leads, and continually optimizes portfolio of projects to execute on pricing sophistication strategies

 

  • Translates vision and strategies into roadmaps and projects 
  • Leads multiple, complex analytical and modeling projects with many team members  
  • Ensures projects are managed according to overall plan managing scope, mitigating risks and solving for project risks.Effectively understands the business problems, requirements, and context in communicating findings to ensure models are well understood and incorporated into business processes 
  • Determines optimal Auto, Home and IS program organization and delivery approach, assists in managing budget, coordinating resources and oversees development of integrated project plans  

 

Engages Product Operations and cross-functional leadership to influence Auto and Homeowners business

 

  • Presents business cases with senior leadership in Product Operations and influences cross-functionally to take, implement and deliver on recommended actions
  • Achieves results on initiatives that contribute to growth and profit goals 
  • Encourages risk taking and innovation
  • Applies efforts to diverse and complex situations to determine solutions, alternatives or guidance
  • Represents Allstate on panels, in outside venues or forums
  • Serves as a subject matter expert for machine learning/predictive modeling, and optimization and consults on complex issues with regulators, legal concil and the field
  • Partner with outside business units in order to improve the effectiveness of business decisions

 

Leads managers and builds and develops team dedicated to executing pricing sophistication strategies

  • Leads managers and who are responsible for work that needs to be performed and/or their direct reports
  • Directs, supports and executes talent management developing bench strength for loss cost modeling teams from analysts to project managers to new managers
  • Identifies skill gaps and devises training plans with managers to develop new talent in focus area
  • Coaches, mentors and influences others to accomplish departmental goals
  • Actively seeks to connect resources across departments to share expertise educating teams on initiatives, strategy and models
  • Works to maintaining a friendly and collaborative work environment
     

Knowledge/Skills/Abilities/Experience

 

  • Prefers a Master’s in a quantitative field such as statistics, mathematics, finance, or economics or an actuarial designation (ACAS/FCAS) with a bachelor’s degree in a quantitative field
  • Extensive underwriting predictive modeling experience is preferred
  • Extensive experience in leading teams and cross functional projects
  • Proven ability to manage teams overseeing machine learning/predictive modeling, and optimization in software such as SAS, SPSS, Matlab, R, CART, Python, Java etc.
  • Proven knowledge of advanced technique such as GLM, GAM, Machine Learning algorithms, decision tress, etc.
  • Ability to train, develop, and teach more junior modelers
  • An advanced knowledge about business in general and seasoned, in-depth, multi-dimensional knowledge of industry and company economics
  • Ability to analyze and interpret complex concepts  
  • Ability to lead teams in the development rating plans
  • Ability to lead teams in the development machine learning/predictive modeling, and optimization
  • 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 
  • Ability to concentrate on a wide range of loosely defined complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable
  • Proven communication and influence skills taking varying audiences into consideration
     

Compensation Data

Compensation range for this position is $110,600 to $186,000 per year, based on experience and qualifications. Other compensation includes AIP bonus.

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.