Wealthfront is hiring a
Data Scientist

Summary

The job description is for a Data Scientist role within Wealthfront's Fraud and Risk team. The role involves translating security-related scenarios into mathematical problem statements, formulating project plans, quantifying performance of fraud detection models, working with cross functional stakeholders to evaluate security implications, and more.

Requirements

• A Masters or a PhD degree in Computer Science, Statistics, Operations Research, or Natural Sciences with 4+ years of prior experience in a Data Science role. Exceptions to these requirements may be considered on a case-by-case basis
• Prior experience in financial fraud detection and prevention is preferred, but not required
• Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements
• Hands-on mathematical and software engineering skills to execute on complex projects
• Proficiency in Python and SQL
• An understanding of the concept of ‘proportional investment’ in approaching Data Science problems
• Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills

Responsibilities

• Translate known or newly discovered security-related scenarios into mathematical problem statements
• Formulate project plans with clear rationale, candidate approaches and milestones
• Quantify performance of fraud detection models using appropriate metrics (accuracy, precision, recall) before and after production deployment
• Employ a high degree of mathematical rigor and best practices for software development
• Work with F&R leadership to propose and implement new security enhancements for our products
• Work with cross functional stakeholders to evaluate security implications for proposed new products or features
• Work with Data platform teams to procure required data
• Explain technical choices, model limitations and trade-offs in a cross functional risk evaluation forums
• Enhance overall Data Science team execution through hands-on help, design feedback and peer review

Benefits

• Medical, vision, dental
• 401K plan
• Generous time off
• Parental leave
• Wellness reimbursements
• Professional development
• Employee investing discount
• More!