Data Scientist, Insurance

Tesla Motors
Tesla Motors

Job Overview

THE ROLETesla’s mission is to accelerate the world’s transition to sustainable energy. As a Data Scientist for Tesla Insurance Services (TIS), your analysis and insights will support this mission by reducing the cost of ownership of Tesla’s vehicles and help improve and scale Tesla’s insurance business.RESPONSIBILITIES* Contribute on all stages of data science projects: from performing raw data mining to translate complex technical topics into business solutions and recommended actionable insights into TIS product offerings.* Collaborate closely with leadership, engineering, and expert resources to improve our view of claim segmentation, modeling and decision engines.* Monitor and define KPIs across origination and servicing in TIS.* Solving complex industrial and technical problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyper-parameter tuning for machine learning, and deployment.REQUIREMENTS* Graduate degree in quantitative field (math, economics, financial engineering, operations research, finance, and/or statistics)* 5 years of experience in roles related to actuarial science, applied statistics and analyzing risk, preferably with a portion in the insurance industry in underwriting or actuarial roles* Applied statistics and machine learning experience (regression analysis, time series, probabilistic models, supervised and unsupervised methods)* Proficiency in Python and experience with open-source ML libraries and frameworks like Scikit-learn, PyTorch, and Tensorflow* Proficiency in SQL and experience with commercial and emerging databases, technologies, and languages* Ability to choose the right tool and analytical method appropriate for the complexity of the problem, balancing between speed, accuracy, and interpretability* Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity* Excellent problem-framing, problem solving and project management skills and ability to change direction quicklyPreferred* Experience with cloud platforms (AWS, Azure, GCP)* Experience with git and version control workflows* Experience with continuous integration pipelines and infrastructure (Docker, Jenkins, Kubernetes)

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