Sr. Staff Data Scientist, Machine Learning

What youll be doing

• Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance
• Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Understand and apply proper risk framework to your analysis and modeling
• Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions
• Collaborate cross functionally to implement models and monitor outcomes

Youll bring the following required skills and experiences

• 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor
• An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc
• Credit and / or Fraud Risk modeling experience in consumer finance is nice to have
• Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions
• Experienced in using Python for analysis and modeling
• Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks
• Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
• Excellent cross-functional communication skills
• Ability to thrive in a fast-paced environment