Senior Data Scientist, Home Lending

Responsibilities

• Build predictive models for potential purchasers or refinancers in our client base to enable efficient and targeted outreach

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• Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize these experiences
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• Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations

Expectations

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• Demonstrate a high degree of independence, proactivity, and curiosity - be the first to identify opportunities
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• Formulate project plans with clear rationale, candidate approaches and milestones
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• Communicate clearly and effectively with partners both within and outside the home lending area, through written documents, presentations, and in-person or video meetings
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• Identify key initiatives for the Home Lending area and champion the role of Data Science within these initiatives
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• Employ a high degree of mathematical rigor and best practices for software development.
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• Enhance overall Data Science team execution through hands-on help, design feedback and peer review
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• Depending on experience and interest, management of more junior Data Science team members.

Requirements

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A Master's or a 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 to these requirements may be considered on a case-by-case basis.

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Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements. Sometimes this includes re-framing the original request to solve a more general problem with similar effort.

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Hands-on mathematical and software engineering skills to execute on complex projects.

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Proficiency in Python and SQL.

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Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills.