TBD - will be added
Job Description:
- Optimization Research : Conduct research in optimization techniques to develop novel algorithms and models for fraud prevention.
- Experimental Research : Design and conduct experiments, analyze results, and interpret findings to drive innovation and enhance decision-making processes.
- Active Learning : Apply active learning methods to continuously improve model performance and adapt to new fraud tactics.
- Collaboration : Work closely with cross-functional teams, including tech, operations, and product teams, to integrate optimization solutions into various systems and processes.
- Tool and Product Development : Assist in designing and implementing tools and products that enable direct user interaction with datasets and develop human-in-the-loop ML systems for continuous improvement.
- Data Integrity : Ensure data integrity and consistency by working closely with business stakeholders and engineers to address critical data challenges.
- Advocacy : Promote and maintain a data-driven culture by engaging with diverse internal teams and advocating for best practices in data science and optimization.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $242,000 to $359,150
Our Benefits:
Any general requests for consideration of your skills, please
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