Data Scientist - Fraud at Radial in King Of Prussia, PA
The Data Scientist will work with our Sr. Manager of Advanced Analytics and Data Science as well as our fraud rules, fraud review team, technology, product, policy, and client relationship partners to build, deploy, and maintain advanced analytical solutions with the goal of reducing fraud chargebacks, reducing false positive decline, improving client experience, and ensuring that Radial minimizes its total cost of fraud while minimizes friction to the merchant and consumer. Position
Responsibilities:
Manage machine learning model life cycle through model audit, back testing, forward testing, benchmarking with the help of performance metrics. Conduct exploratory data analysis, supervised, unsupervised and semi-supervised machine learning to identify fraud trend, segment and clusters, and optimization opportunity Robotic process automation to reduce the need for manual, repeatable processes. Work closely with Technology team for model deployment and monitoring. Work with the other data scientists and the team executive and stakeholders to help develop the data strategy for client protection to ensure the organization has the proper data to make the right decisions, with a priority on data availability in real-time, and generating true customer-level views able to make intelligent fraud decisions leveraging the entirety of our interactions with a customer. Required Skills and
Experience:
Master's degree in Statistics, Mathematics or related STEM area of study is required 1
years of experience in a Data Driven environment (new grads will be considered) Proficiency in SQL, Python, Pandas and scikit-learn is required Candidate should be self-driven and a good communicator Any Fraud related experience is a strong plus
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Responsibilities:
Manage machine learning model life cycle through model audit, back testing, forward testing, benchmarking with the help of performance metrics. Conduct exploratory data analysis, supervised, unsupervised and semi-supervised machine learning to identify fraud trend, segment and clusters, and optimization opportunity Robotic process automation to reduce the need for manual, repeatable processes. Work closely with Technology team for model deployment and monitoring. Work with the other data scientists and the team executive and stakeholders to help develop the data strategy for client protection to ensure the organization has the proper data to make the right decisions, with a priority on data availability in real-time, and generating true customer-level views able to make intelligent fraud decisions leveraging the entirety of our interactions with a customer. Required Skills and
Experience:
Master's degree in Statistics, Mathematics or related STEM area of study is required 1
years of experience in a Data Driven environment (new grads will be considered) Proficiency in SQL, Python, Pandas and scikit-learn is required Candidate should be self-driven and a good communicator Any Fraud related experience is a strong plus
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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