Data Science Manager

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone. Driven by a mission to provide inclusive and affordable financial services, Oportun helps its nearly 1.5 million hardworking members meet their daily borrowing, savings, banking, and investing needs. Since inception, Oportun has provided more than $12 billion in responsible and affordable credit, saved its members more than $2 billion in interest and fees, and automatically helped members set aside more than $7.2 billion for rainy days and other needs. In recognition of its responsibly designed products, Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.

With headquarters in California and a remote-first corporate culture, our 3,000+ team members work in Oportun locations and remotely throughout the United States, Mexico, and India.  Our global operations include our Mexico contact centers and administrative offices, our India technology development center, and our US corporate, technology, and retail operations.

We are proud to have been named a “Top Workplace” by the Bay Area News Group for three consecutive years, one of Fast Company’s Most Innovative Companies in the World for 2020 and recognized as one of TIME Magazine’s 2018 Genius Companies Reinventing the Future.

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 and our Diversity, Equity, Inclusion and Belonging Council.

Responsibilities

• Develop risk, profitability, and marketing models used to provide affordable credit to serve those who are mis-scored by traditional credit bureaus, nearly half of Oportun’s new customers do not have a valid FICO score
• Partner with credit policy team to develop prospect level customer lifetime value model to be leverage in automating credit policy
• Discover insights from a myriad of data sources to understand and influence consumer financial behavior
• Build data pipelines to prepare data for rapid learning in a scalable manner
• Build automated process to optimize credit policy in marketing
• Design and build machine learning and data infrastructure by partnering with data and production engineering teams
• Develop new complex features to be used to build next generation of machine learning models by combining techniques and business acumen
• Partner with production engineering team to deploy models, strategies, verification methods
• Communicate and partner with third party data vendors

Qualifications

• Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelors’ degree with significant relevant experience will be considered)
• 5+ years of coding experience using machine learning toolset within Python, SQL, Spark and/or Scala
• 5+ years of experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression, and Decision Trees, among others
• 5+ years of experience in working on risk based marketing and digital analytics (preferably in financial services industry)
• 5+ years of experience hands-on experiences with data extraction, cleaning, analysis and visualization (experience with unstructured data is a plus)
• 2+ years of experience working with NPV model
• Excellent written and oral communication skills
• A relentless problem solver, out of the box thinker, and proven track record to drive business results in a timely manner

Preferred Skills & Experience

• Experience with HDFS, Hive, Shell script and other big data tools
• Comfortable in a high-growth, fast-paced, agile environment

  #LI-MM1 #LI-Remote  

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.