Manager, Marketing Data Science

ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a digital banking platform that serves 1.9 million members and helps them reach their financial goals. Offering intelligent borrowing, savings, budgeting, and spending capabilities, Oportun aims to empower its members and help them build a better financial future. Since its inception, Oportun has provided more than $15.5 billion in responsible and affordable credit, saved its members over $2.3 billion in interest and fees, and helped its members save on average $1,800 annually. For more information, visit Oportun.com. WORKING AT OPORTUN Working at Oportun offers a unique experience of being part of a team that fosters a diverse, equitable, and inclusive culture where everyone feels a sense of belonging and is encouraged to share their perspectives. This inclusive culture directly impacts our performance and our ability to fulfill our mission of providing affordable credit to those left out of the mainstream financial system. We celebrate and nurture our inclusive culture through our employee resource groups. KEY RESPONSIBILITIES: - Develop customer level response models, propensity models, risk models, and profitability models, leveraging credit bureau and alternate data for credit cards and personal loan products. - Build a consumer-centric marketing engine to optimize marketing spend for millions of prospects across multiple products (personal loans and credit cards) and channels (i.e., direct mail, digital marketing, partners, existing customers, and aggregators). - Develop and automate pre-screen credit policy for prospects across different products and channels. - Lead initiatives from start to finish, including project planning, communication, and stakeholder management. - Lead discussions with compliance, bank partners, and model risk management teams to facilitate model governance activities such as model validations and monitoring. - Build an experimental design-based testing framework for rapid experimentation and learning. - Build end-to-end reusable ML pipelines from data acquisition to model output delivery. - Design and build marketing data infrastructure in collaboration with data and production engineering teams. - Lead and mentor data scientists to solve business problems leveraging AI/ML. - Communicate and collaborate with third-party data vendors. REQUIREMENTS: - Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering, or Economics or other quantitative discipline (A Bachelor’s degree with significant relevant experience will be considered). - 5+ years of data science experience in developing and deploying machine learning models, preferably with targeting and risk models. - Hands-on experience leveraging machine learning techniques such as Gradient Boosting, Clustering, Logistic Regression, or Random Forest to solve real-world problems. - 4+ years of hands-on experience with data extraction, cleaning, analysis, and building reusable data pipelines; proficient in Python. SQL, Spark SQL, and/or Hive. - 3+ years of experience leveraging modern machine learning tools and programming languages such as Python. - Prior hands-on experience in MLFlow/Databricks or Kubeflow would be a big plus. - Excellent written and oral communication skills. - A relentless problem solver and out-of-the-box thinker with a proven track record of driving business results in a timely manner. - Strong stakeholder management and project management skills. - Experience working with AWS EMR, Spark, or other cloud-based platforms is a plus. - Comfortable in a high-growth, fast-paced, and agile environment. Oportun is proud to be an Equal Opportunity Employer and considers all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status, or any other category protected by law or regulations in the areas where we operate. California's applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. Note: We will never request personally identifiable information (bank, credit card, etc.) from you before you are hired. We do not charge you for pre-employment-related costs such as background checks, training, or equipment. If you believe you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).