Manager, Marketing Data Science

Key Skills

Amazon EMR, Apache Hive, AWS, Databricks, Kubeflow, MLflow, Python Programming, Spark-SQL, SQL

Job Description

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is a digital banking platform that puts its 1.9 million members' financial goals within reach. With intelligent borrowing, savings, budgeting, and spending capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $15.5 billion in responsible and affordable credit, saved its members more than $2.3 billion in interest and fees, and helped our members save an average of more than $1,800 annually. For more information, visit Oportun.com.

WORKING AT OPORTUN

Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. 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 as well as 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 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.

• Build 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 by partnering with data and production

• engineering teams

• Lead and mentor data scientists that solve business problems leveraging AI/ML

• Communicate and partner with third party data vendors

REQUIREMENTS:

• 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, 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 in leveraging modern machine learning toolset and programming languages such as Python

• Prior hand-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

We are proud to be an Equal Opportunity Employer and consider 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 the laws or regulations in the locations where we operate.

California applicants can find a copy of Oportun's CCPA Notice here: 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).