
Data Scientist
2 days ago
We are looking for talented Machine Learning Engineers to join us and be part of our journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems.
Our team sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. We fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process.
Key Responsibilities:
- Credit Decisions: Understanding and building signals from unstructured and structured data to identify good borrowers.
- Customer Service: Using machine learning and NLP, automate customer service interactions and provide context to our customer service team.
- Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
- Team work: Bringing your experience to bear on the technical direction and abilities of the team, and working cross-functionally with policy and product teams as we improve processes and break new ground.
Qualifications:
- 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.
- Excellent software engineering and programming skills, especially Python and SQL.
- A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
- A deep understanding of using cloud computing infrastructure and data pipelines in production.
- Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.
- Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.
Benefits:
- Mission-driven, fast-paced, and entrepreneurial environment
- Competitive salary and equity package
- A collaborative and flat company culture
- Fully-paid Group Medical Insurance and Personal Accidental Insurance
- Unlimited paid time off, including personal leave, bereavement leave, and sick leave
- Fully paid parental leave — 6 months maternity leave and 3 months paternity leave
- Monthly WFH stipend alongside a one-time home office set-up budget
- $500 Annual professional development budget
- Team meals and social events — Virtual and In-person
We are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face.
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