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Experienced Marketing Data Scientist
Allstate
Charlotte, NC, United States
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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.
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. 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.
Job Summary
This role is responsible for leading the use of data to make decisions. This includes the development and recommendation 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 new business problems that can be solved through the use of machine learning/predictive modeling. The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists. This role also accountable for informing the strategy of QR&A. This role will also begin to manage highly complex projects.
• Uses best practices to develop statistical, machine learning techniques to build models that address business needs
• Develops and builds alignment with in Product Operations for frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions
• Identifies and develops solutions that use new areas of data, research and models that can solve business problems
• Develops project plans for complex and occasionally highly complex modeling/ machine learning and/or development projects
• 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
• Leads work on data and problems across departments to drive improved business results through designing, building, and partnering to implement models
• Collaborates and influences outside business units in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
• Effectively understands the business problems and requirements to identify the optimal modeling approach
• Communicates findings to ensure models are well understood and incorporated into business processes
• Utilizes effective project planning techniques to break down complex and occasionally highly complex projects into tasks, manages scope of projects, and ensures deadlines are kept
• Works with stakeholders to ensure the project will meet their needs
• Identifies and develops data sources to solve business problems
• Manages various analytical and modeling projects with small number of team members
• Reviews, evaluates, and makes recommendations on appropriateness of techniques to senior leadership
• Influences business partners and senior leadership on the effectiveness of machine learning/predictive modeling to solve their business problems
• Trains, develops, and teaches more junior modelers
• Maintains a friendly and collaborative work environment
• Maximizes personal professional development to ensure continuation of a personal contribution to the team and Allstate
• Listens to clients and turns conversation into actionable projects and research
• Connects projects to broader Allstate goals
• The development and execution of a communication strategy that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work
Job Qualifications
• Master’s or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics
• Demonstrated experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
• Demonstrated experience in managing and manipulating large, complex datasets
• Demonstrated experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc.
• Functional pricing, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings preferred
• Understanding of the Insurance market place, economics and regulation preferred
• Proven ability to code and develop prototypes in languages such as Python, Perl, Java, C
• Proven 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
• Ability to lead a project team of various skills levels
• Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable
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.
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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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