Back River Search Group

Director of Data Science and Machine Learning

Back River Search - San Francisco, CA

Our client is dedicated to helping our members lead healthy financial lives. That’s why we offer an award-winning bank account that doesn’t charge unnecessary fees, gives members early access to their paychecks, and helps them save money automatically. Hundreds of thousands of people use their mobile app and debit card to make purchases, track spending, save for the future, and more

We believe the big banks fail to help their members achieve financial health - and in many cases work against it, charging hundreds of dollars in hidden fees and pushing products that drive people into debt. We don’t think it needs to be this way, so we’re out to beat them.

We have one of the most experienced management teams in Fintech and just raised a $70M Series C funding round, led by Menlo Ventures, to fuel our growth. If you’re looking to join a small but fast-growing company with a beloved, daily-use product and an authentic mission that puts people first, we want to meet you.

Our client is a technology and data-driven consumer bank. They are amassing vast amounts of data that they want to use to ensure they're the best in risk management, new user acceptance, information security, underwriting, and more. Data Scientists occupy a critical role in the company, creating models and infrastructure that allow us to evaluate events in realtime in new, efficient, and accurate ways.

What You’ll Do

In this role, you’ll build and implement novel machine learning algorithms, drive data science analysis for decision-making, and build real-time models through to production at scale. You’ll also build a strong, nimble team of data scientists who are passionate about tackling a litany of risk, finance, and security challenges. Specifically, you’ll:

  • Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure
  • Work with engineers to design machine learning solutions that operate quickly and effectively at scale
  • Partner with operatives to quickly respond to rapidly evolving threats
  • Apply good software development practices and actively contribute to production code where practical
  • Make business recommendations to the executive and cross-functional teams (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information
  • Help build the next generation of data products

Qualifications & Requirements

  • Passion and drive to change consumer banking for the better
  • You've earned a: (a) PhD in Machine Learning, Statistics, Optimization, Physics, or related field, with experience building production-ready ML models and systems; or (b) MS in CS or related field with 4+ years of experience in creating and crafting large data projects
  • Deep understanding of and experience with machine learning, data analytics, and statistical models
  • Experience developing and deploying machine learning / deep learning solutions
  • The versatility to communicate clearly with both technical and non-technical audiences
  • A willingness to solve problems using whichever tool is most appropriate for the situation
  • Strong programming ability in several relevant languages
  • Demonstrated leadership and self-direction, and willingness to both teach others and learn new techniques
  • Technologies we use: MySQL, R, PHP, Python, AWS, and Looker, among many others

Posted On: Tuesday, October 23, 2018

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