1+ months

Sr. Data Scientist, Finance Analytics - Tesla

Fremont, California
  • Jobs Rated
    7th

Tesla's mission is to accelerate the world's transition to sustainable energy. Tesla’s Finance Analytics team sits at the intersection of financial analysis, business intelligence, data engineering, and data science to support this mission by converting raw data into actionable insights.

We are looking for a senior data scientist who can play a foundational role in measuring, predicting, and managing financial risk across Tesla.

Responsibilities

  • Work with finance teams to apply frameworks and models to predict and actively manage risk and monitor trends across origination and servicing in leasing and lending businesses
  • Build, monitor, improve and govern statistical models for:
  • Underwriting decisioning
  • Delinquency early warning and retention
  • Fraud detection and prevention
  • Risk-weighted pricing
  • Partner with data engineering teams to build data pipelines and warehouse data
  • Partner with application engineering teams and product managers to deploy models into production
  • Partner with wider finance analytics team on operational and executive reporting
  • Partner with other analytics teams across Tesla to enhance models with additional data

Requirements

Requirements

  • Graduate degree in quantitative field (math, economics, financial engineering, operations research, finance, and/or statistics)
  • 8+ years of experience in roles related to actuarial science, applied statistics and analyzing risk, preferably with a portion in the financial services 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 quickly
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Experience with git and version control workflows
  • Experience with continuous integration pipelines and infrastructure (Docker, Jenkins, Kubernetes)

Categories

Jobs Rated Reports for Data Scientist

Posted: 2020-06-05 Expires: 2020-08-04

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Sr. Data Scientist, Finance Analytics - Tesla

Tesla
Fremont, California

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Data Scientist
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Overall Rating: 7/220
Median Salary: $111,840

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