Data Science Manager
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) - 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 Responsibilities - In this role you will leverage cutting edge tools, and work with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets to drive growth and optimize marketing spend across channels by predicting which consumers would likely be interested in Oportun's affordable, credit building lending products - You will play a key role in automating the build process for dozens of machine learning models in our AWS marketing platform that are used to predict risk levels, propensity to respond and customer lifetime value - 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
Salary Range:
$200K -- $250K
Minimum Qualification
Data Science & Machine Learning, Technology ManagementEstimated Salary: $20 to $28 per hour based on qualifications.
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) - 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 Responsibilities - In this role you will leverage cutting edge tools, and work with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets to drive growth and optimize marketing spend across channels by predicting which consumers would likely be interested in Oportun's affordable, credit building lending products - You will play a key role in automating the build process for dozens of machine learning models in our AWS marketing platform that are used to predict risk levels, propensity to respond and customer lifetime value - 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
Salary Range:
$200K -- $250K
Minimum Qualification
Data Science & Machine Learning, Technology ManagementEstimated Salary: $20 to $28 per hour based on qualifications.
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