Sr Manager , Data Science AI capabilities

Remote US

Applications have closed

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

  • Build end-to-end reusable and automatic pipelines from data acquisition to model development to model output delivery through partnership with data and production engineering teams
  • Develop AI/ML capabilities that enable us to extract insight, assess/manage models’ performance, and support business decisions across the company, in (almost) real time.
  • Develop and deploy ML models leveraged through the customer lifecycle which includes, not limited to, marketing, underwriting and customer management.
  • Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. 
  • Lead, coach and partner with the DS, non-DS team and 3rd vendors to deliver results

Qualifications

  • 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).
  • 3+ years of experience in designing and developing MLOps, or 3+ years of hands-on experience with engineering/SW development.
  • Experience working with AWS Sage maker or other cloud-based platforms for model deployment is required
  • 3+ 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 is required
  • 3+years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines using SQL, Spark SQL, and Python/Pyspark
  • A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner
  • Excellent written and oral communication skills
  • Strong stakeholder management and project management skills 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.

Tags: Agile AWS Banking Clustering Computer Science Data pipelines Economics Engineering Machine Learning Mathematics ML models MLOps Model deployment PhD Pipelines PySpark Python Spark SQL Statistics

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  5  0  0

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