You’ll be a successful Director of Data Science on our Data Science Team if:

• You have experience applying data science to credit risk management and are excited to optimize a multi-billion dollar portfolio that’s growing every day
• You want to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
• You make your team better on a daily basis because you can be clear about goals, the team’s shared purpose, and need to execute through education, organization, and trust
• You can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need.
• You have a deep understanding of the field of data science and can develop and communicate a vision to your team on how the field can be applied to solve difficult practical problems
• You’ve created, deployed, and managed experiments and models in production systems and can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in that work
• You are more motivated by practical solutions than theoretical elegance
• You can communicate, collaborate, compromise, and be sensitive to the needs of your partners and teammates

We are offering:

• A low-ego, respectful, data science team committed to solving practical problems together
• The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
• Flexible work hours and flexible work location (even after the pandemic)
• A generous parental leave policy
• Excellent opportunities for career growth, with both management and technical tracks for advancement
• A team that values learning and approaches work with a “growth mindset”
• A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

You might be particularly excited about the role if you want:

• To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
• To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification

If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.