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Allstate · 1 week ago

Senior Data Scientist – Weather & Climate Analytics

United States

Full-time

Remote

Mid, Senior Level

$96K/yr - $171K/yr

3+ years exp

Allstate is a company that has been protecting families and their belongings for over 90 years. The Senior Data Scientist role focuses on leading data-driven decisions in the weather and climate space, developing machine learning algorithms, and integrating new data to enhance decision-making processes.

BankingFinanceFinancial ServicesInsuranceInsurTechVenture Capital

No H1B

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. 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

Qualification

Machine LearningPredictive ModelingPythonGeospatial DataCloud ComputingData PipelinesAnalytic AgilityData AnalyticsSTEM ResearchData Cleansing

Required

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

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

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