Senior Manager, Data Scientist

ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a digital banking platform that assists its 1.9 million members to achieve their financial goals. With its intelligent borrowing, savings, budgeting, and spending capabilities, Oportun instills its members with the assurance to build a more favorable financial future. Since its inception, Oportun has offered over $15.5 billion in responsible and affordable credit, saved its members more than $2.3 billion in interest and fees, and helped its members save an average of more than $1,800 annually. For more information, visit Oportun.com. WORKING AT OPORTUN Working at Oportun signifies a unique experience of being part of a team that encourages a diverse, equitable, and inclusive culture where everyone feels a sense of belonging and are encouraged to share their perspectives. This inclusive culture is intimately associated with our organization's performance and its ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and foster our inclusive culture through our employee resource groups. POSITION OVERVIEW In this role, you will work with large and diverse datasets from credit bureaus, alternative data vendors, and internal databases, leveraging machine learning to build models and strategies for a wide range of marketing decisions. You will also work closely with the engineering team to enhance machine learning infrastructure. RESPONSIBILITIES - Develop business critical ML models like response/propensity and credit risk models for marketing programs using credit bureaus and alternate data sources - Enable executions of marketing programs through designing model-based strategy - Lead and coach a team of data scientists to deliver results. - Lead initiatives to drive business value from initiation to completion including project planning, managing stakeholders’ expectations, both internal and external, and executing. - Collaborate with Compliance and Model Risk Management teams to implement the model governance activities such as model validations and monitoring, and ensure models are compliant. - Improve/automate ML infrastructure through partnerships with engineering teams REQUIREMENTS - A relentless problem solver and out of the box thinker with a proven track record of driving business results promptly - 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 (Candidates with a Bachelor’s degree and significant relevant experience will also be considered) - 7+ years hands-on data science experience with big data, machine learning platforms, and algorithms. Examples include AWS, Azure, Snowflake, and/or Data-Brick, Gradient Boosting, Clustering, Logistic Regression, and Neural Network to solve real-world problems. - 7+ years of practical experience with data extraction, cleaning, analysis and building reusable data pipeline. - 3+ years of experience in managing a team - Proficient in SQL/Spark SQL/Python - Excellent written and oral communication skills - Strong stakeholder management and project management skills The US base salary range for this full-time position is $127,500 - $204,000. Our salary ranges are determined by role, level, and location. The range displayed in each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. More specific salary range details that meet your criteria will be provided by your recruiter during the hiring process. Please note that the compensation range listed in this posting only reflects the base salary for this position and does not include other compensation elements or benefits. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities irrespective of race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice at: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think 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).