Allstate · 1 day ago

Lead Data Scientist

US - Remote

Full-time

Remote

Senior Level

$122K/yr - $207K/yr

5+ years exp

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Responsibilities

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

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 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.

Qualification

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Cloud-based solutionsMachine learningPredictive modelingInfrastructure as Code (IaC)CI/CD pipelinesContainerization (Docker)Observability toolsCloud security practicesPythonRSQLTensorFlowPyTorchData ScienceMachine Learning AlgorithmsMachine Learning Techniques