Senior Data Scientist, Home Lending

Job Description:

  • Build predictive models for potential purchasers or refinancers in the client base to enable efficient and targeted outreach
  • Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize experiences
  • Interpret and contextualize statistical results for business stakeholders and translate numbers into recommendations
  • Identify opportunities and formulate project plans with rationale, candidate approaches, and milestones
  • Communicate with partners within and outside the home lending area through written documents, presentations, and in-person or video meetings
  • Identify key Home Lending initiatives and champion Data Science’s role in them
  • Apply mathematical rigor and software development best practices to complex projects
  • Enhance Data Science team execution through hands-on help, design feedback, and peer review
  • Depending on experience and interest, manage more junior Data Science team members

Requirements:

  • Master's or PhD degree in a quantitative field such as Statistics, Operations Research, Computer Science, Economics, or Natural Sciences, with 6+ years of prior experience in a Data Science role; exceptions may be considered case by case
  • Strong communication and collaboration skills, with experience partnering across organizations to sharpen project requirements
  • Hands-on mathematical and software engineering skills for complex projects
  • Proficiency in Python and SQL
  • Desire and ability to mentor junior Data Scientists by exemplifying math, engineering, and technical communication skills

Benefits:

  • Equal opportunity employer
  • Diversity-valuing workplace
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