Summary
Join Oportun's world-class team of mission-driven Data Scientists and contribute to broadening financial inclusion by untapping insights from non-traditional data.
Requirements
- A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner
- Masterβs degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelorβs degree with significant relevant experience will be considered)
- Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems
- 7+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive
- 7+ years of experience in leveraging modern machine learning toolset and programming languages such as Python
- Excellent written and oral communication skills
- Strong stakeholder management and project management skills
- Comfortable in a high-growth, fast-paced, agile environment
Responsibilities
- Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management
- Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules
- Build model deployment platform which can shorten the time of implementing new models
- Build end-to-end reusable pipelines from data acquisition to model output delivery
- Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management
- Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring
- Lead, coach and partner with the DS and non-DS team to deliver results
Benefits
Equal Opportunity Employer