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Wealthfront

Senior Data Scientist (Home Lending)

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Description

  • The Data Scientist in this role will be primarily embedded within Wealthfront’s new and quickly-growing Home Lending area. The vision of this area is to enable our clients to grow their wealth through leveraged home ownership
  • Build predictive models for potential purchasers or refinancers in our client base to enable efficient and targeted outreach
  • Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize these experiences
  • Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations

Benefits

  • Lunch and snacks on the house: Enjoy lunches, snacks, coffee and stipends to go out to lunch with coworkers.
  • More tools in your toolbox: Join one of our affinity groups, attend leadership trainings and receive 1:1 mentorship. We give team members a quarterly learning stipend so we can all continue to grow and improve.
  • Commuting made easy: We’re a short walk from the Palo Alto Caltrain and all employees receive a Caltrain pass. Our co-working space in San Francisco is great for days when you need to work from the city. An additional transportation stipend and relocation bonuses make getting to the office a breeze.
  • Prioritize Wellness: Stay happy and healthy however you choose with our monthly wellness reimbursement. You define what wellness means for you — a massage, running sneakers, or dance classes? It’s your call.
  • Work/life balance (no, really): We have flexible working hours, a discretionary time off policy and offer 16 weeks of paid parental leave (both parents). We work hard, but we rejuvenate too.
  • Your health matters: We provide comprehensive medical, dental and vision coverage for you and your family, including HSA contributions for high deductible plans.
  • Demonstrate a high degree of independence, proactivity, and curiosity - be the first to identify opportunities
  • Formulate project plans with clear rationale, candidate approaches and milestones
  • Depending on experience and interest, management of more junior Data Science team members
  • Identify key initiatives for the Home Lending area and champion the role of Data Science within these initiatives
  • Communicate clearly and effectively with partners both within and outside the home lending area, through written documents, presentations, and in-person or video meetings
  • Employ a high degree of mathematical rigor and best practices for software development
  • Enhance overall Data Science team execution through hands-on help, design feedback and peer review
  • Proficiency in Python and SQL
  • Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills
  • 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
  • Hands-on mathematical and software engineering skills to execute on complex projects
  • 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

Skills

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