[Data Distribution Platform] Machine Learning Engineer

• Working with large, complex data sets.
• Solving difficult, non-routine analysis problems, applying advanced analytical methods as needed
• Conducting end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Building and prototyping analysis pipelines iteratively to provide insights at scale.
• Interacting cross-functionally with a wide variety of people and teams to support broader project requirements or client business user questions
• Making business recommendations with effective presentations of findings through visual displays of quantitative information.
• Writing custom code to support the implementation or execution of quantitative models within a targeted execution framework
• Developing algorithms or selecting commonly applied algorithms to solve a specific problem or unlock a hidden data insight
• Participate in technical conversations with leads to establish valuable partnerships so as to design and execute pilots
• Build scalable and robust products and/or services that support our growing business