Remote Sr. Staff Data Scientist, Machine Learning

Description:

• The Sr. Staff Data Scientist will develop custom models and algorithms to apply to large datasets, as well as processes for monitoring and analyzing their performance.
• This role involves mining and analyzing data from different resources and using predictive modeling to enhance customer experiences, customer acquisition, underwriting, and other business outcomes.
• The candidate will assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Understanding and applying a proper risk framework to analysis and modeling is essential.
• The position requires collaboration with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
• The candidate will work cross-functionally to implement models and monitor outcomes.

Requirements:

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

Benefits:

• The salary range for this role is $210,000 - $250,000 per year, based on function, level, and geographic location.
• Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the identified range.