Data Scientist

Job Summary

A fintech platform enabling financial institutions to provide inclusive lending, credit assessment, risk management, and goal-based financial services to underserved and underbanked customers.

Responsibilities

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed
• Identify and use appropriate investigative and analytical technologies to interpret and verify results
• Use best practices to develop statistical and/or machine learning techniques to build models that address business needs
• Collaborate with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
• Innovate on projects by using new modeling techniques or tools
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes
• Data Scientist / Senior Data Scientist responsible for partnering with internal business owners to understand business needs, develop custom analysis, leverage statistical analysis and data mining, and build statistical and machine learning techniques to address business needs.
• The role involves collaborating with teams to improve business decisions through data and machine learning/predictive modeling.