At Allstate, the business problem is to leverage data, particularly in the weather/climate space, to make better decisions. This involves developing and managing advanced machine learning models, creating tools for data-driven decision-making, integrating new data sources to enhance model accuracy, and discovering innovative solutions to business challenges through predictive modeling.
Requirements
- Proven ability to code and develop prototypes in coding languages, Python experience preferred.
- Experience with geospatial and weather datasets. Ability to strategize on raster vs vector data and techniques for working with this type of data.
- Experience with setting up large complex data pipelines to support analytics
- Experience with software development best practices, including virtual environments, unit testing, and Github
- Experience with cloud computing; Azure or AWS preferred.
- A background STEM research; weather and climate preferred.
- Proven experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts
Responsibilities
- Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
- Reviews, evaluates, communicates and makes recommendation on appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes.
- Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.
- Collaborates with outside business units and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
- Identifies languages and tools that can bring efficiencies or needed techniques to the team.
- Identifies new areas of data, research and models and develops data sources that can solve business problems.
- Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept.
Other
- This role is responsible for leading the use of data to make decisions in primarily the weather/climate space.
- This role will manage projects of medium complexity.
- Mentors and develops others
- 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
