Develop data products and models used in managing credit / fraud risk and customer lifetime valuation and provide frictionless customer experience for various products and services Oportun provides.
Build end-to-end reusable pipelines from data acquisition to model output delivery through partnership with data and production engineering teams.
Support the development of automated monitoring tools which can enables us to make almost real-time assessment of the performance of models and rules, and extract insights
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
Communicate and partner with third party data vendors.
Qualifications
A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner
Comfortable in a high-growth, fast-paced and agile environment
Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered).
5+ years data science experience in developing and deploying Machine Learning models
Hands on experience leveraging machine learning techniques such as Gradient Boosting, Clustering, Logistic Regression and Neural Network to solve real world problems
5+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 designing, developing and leveraging model platform and MLOp; proficient in Python / Pyspark
2+ year of experience in people management
Excellent written and oral communication skills
Strong stakeholder management and project management skills
Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus
Engineering and SW development experience is a plus
LI-Remote
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