Job Information
Octane Lending Data Scientist in New York, New York
Data Scientist @ Octane Lending, Inc. (NY, NY).Duties: Recommend, develop, and implement best practices for elevating fraud, credit risk, and digital capabilities needed to enhance risk, productivity and business performance. Recommend, develop, and implement best practices for reporting, analytics, and generation of key metrics needed on key initiatives and their business performance. Develop machine learning and AI predictive models and support their implementation and performance tracking. Provide expert guidance to business stakeholders evaluating model and experimental results. Drive analytic product development via conducting strategic reviews, analytical framework and analysis using expanded data sources to maximize efficiency of fraud detection, risk management, and mitigation activities. Develop and manage junior members on projects and initiatives leading to the realization of their potential and abilities to meet targeted business project and performance objectives. Remain current on the latest industry fraud and credit risk trends, and recommend tools, services, and practices for improvement and to champion the integration into strategies. Oversee project delivery within timelines and meet critical business needs.Requirements: Bachelor’s in Computer and Information Science, Statistics, Mathematics, Finance, or a related quantitative field plus 5 years of post-baccalaureate experience in any job title/occupation/position involving machine learning or data science. Alternatively, Master’s degree in Computer and Information Science, Statistics, Mathematics, Finance, or a related quantitative field plus 2 years of experience in any job title/occupation/position involving machine learning or data science. Experience must include: leveraging Python, SQL, Spark and AWS to drive data analytics and modeling capabilities for business insights and results; working with library and data usage in Python, including Pandas, Numpy, Scikit-learn, Matplotlib and Seaborn; using Excel; performing modeling in one or more of the following fields: fraud, credit risk, bankruptcy, marketing and customer acquisition; and developing, assessing, deploying, implementing, and monitoring machine learning predictive models in production environments. Remote work permissible up to 4 days per week within normal commuting distance. 163,238 - $167,937 / year. Qualified applicants may send resumes to Octane Lending, Inc. via email at talent@octanelending.com, and reference Job Code # DS31024.
Minimum Salary: 163238.00 Maximum Salary: 167937.00 Salary Unit: Yearly