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Machine Learning Data Scientist

  • Job type: Permanent
  • Location: San Francisco, California
  • Salary: Negotiable
  • Job reference: 182584/001_1552431672
  • Sector: Selby Jennings, Risk Management
  • Date posted: 12/03/2019

Machine Learning is rapidly taking the financial services industry by storm and allowing businesses of all sizes and scopes to make more accurate predictions for their lending portfolios. This machine learning data Science position would be with a rapidly growing, highly profitable consumer lending FinTech firm that is set to go public within the next year. This company was founded by former Google employees looking to revolutionize the underwriting process for quicker approval, lower default rates and become one of the top performing businesses in the industry. You will be responsible for developing a variety of machine learning credit risk models using some of the latest technologies to make for a more accurate predication of creditworthiness.

Requirements:

  • 3-5 years of relevant experience in predictive model development or Data Science.

  • Rigorous academic background (PhD) in Computer Science, Applied Statistics, or any relevant field of study is preferred.

  • Proven track record of developing predictive models using machine learning methodologies.

  • Thorough understanding of both Python and R in addition to a sound technical skill set.

Responsibilities:

  • Develop machine learning predictive models from scratch using both Python and R to be implemented into the business.

  • Uses the latest technologies to optimize existing models to assure accuracy and efficiency.

  • Coordinate with senior management and other team members to assure models are performing optimally.

  • Collaborate with senior management to develop new strategies for generating business.

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