Senior Data Scientist

Summary

Join Wealthfront's Data Science Team and contribute to key product and marketing decisions, safeguarding client information and assets. As a Data Scientist, you will be embedded within the Investing area, focusing on making effective investing strategies more accessible and affordable. You will formulate project plans, interpret statistical results for stakeholders, collaborate with cross-functional teams, and employ mathematical rigor and software development best practices. The role involves guiding project execution, enhancing team efficiency, automating manual work, and potentially mentoring junior team members. Wealthfront offers a competitive salary, equity, discretionary bonuses, and comprehensive benefits.

Requirements

• A Master's or a PhD degree in Computer Science, Statistics, Operations Research, 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
• 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
• Proficiency in Python and SQL
• Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills

Responsibilities

• Formulate project plans with clear rationale, candidate approaches and milestones
• Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations
• Collaborate with cross functional stakeholders to identify key initiatives for the Investing area and champion the role of Data Science within these initiatives
• Employ a high degree of mathematical rigor and best practices for software development
• Guide execution of project plans with a combination of delegation and hands-on work
• Enhance overall Data Science team execution through hands-on help, design feedback and peer review
• Identify and formulate steps to automate repetitive manual work (toil)
• Depending on experience and interest, management of more junior Data Science team members

Preferred Qualifications

Prior experience in financial services or knowledge of finance basics is helpful but not required

Benefits

• Medical
• Vision
• Dental
• 401K plan
• Generous time off
• Parental leave
• Wellness reimbursements
• Professional development
• Employee investing discount