Senior Data Scientist – Weather, Climate Analytics

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Allstate

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Insurance • Finance • Non-profit

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

10,000+ employees

Founded 1931

💸 Finance

🤝 Non-profit

💰 Post-IPO Equity on 2014-01

📋 Description

• 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 • Effectively understand the business' problems and requirements to identify the optimal modeling approach • Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions • 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 • Manages various analytical and modeling projects with small number of team members • Mentors and develops others

🎯 Requirements

• Master's Degree in Atmospheric Dynamics, Earth Science, Climate, Physics, or Mathematics • 3 or more years of experience • 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 in 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 • 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 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 • Ability to train, develop, and teach more junior modelers • Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making.

🏖️ Benefits

• Health insurance • 401(k) plan • Paid time off • Remote work options