Paul Davis Restoration of Greenville and Spartanburg
Sr. Data Scientist, Risk & Fraud
Paul Davis Restoration of Greenville and Spartanburg, Santa Barbara, California, us, 93190
AppFolio, Inc. is a leader in cloud and AI technology, transforming business operations in the real estate sector. The company is looking for a Sr. Data Scientist to enhance their risk detection processes. Join a dynamic team of innovators and contribute to pioneering solutions.In this role you can expect to have the responsibilities:
Develop and implement advanced risk detection and fraud prevention systemsCollaborate with Payments cross-functional partners to define key risk indicatorsIdentify variables that uncover risky behaviorPrototype, deploy, and maintain machine learning models for real-time fraud detectionIntegrate detection algorithms into internal tools and workflowsConduct research into emerging fraud techniques and adjust strategiesContinuously monitor and optimize system performanceWork with Risk and Fraud teams to understand trends and reporting needsCreate tools for monitoring data outliers and trend shiftsDesign dashboards to visualize and investigate transaction patternsDevelop automated anomaly detection systemsCollaborate across teams to analyze and communicate the impact of fraudDevelop customer risk profiles for transaction handlingPartner with product and business scientists to quantify fraud's impactAssist in creating dashboards linking fraud patterns to business performanceContribute to strategic planning sessionsDevelop reusable code libraries and modeling frameworksImplement best practices for version control and documentationParticipate in knowledge sharing sessions to elevate team capabilitiesThis role comes with the following benefits:
Base pay along with bonuses/commissionsRegular full-time employees are eligible for benefitsThis role requires you to have:
Bachelor's Degree in a STEM field4-6 years of related experienceProgramming: Python, SQL, RExperience with real-time payments/transactional dataExperience with machine learning modelsExperience with data pipelines for reportingExperience with cloud-based technologiesStrong interpersonal and communication skillsSelf-motivated and directedAnalytical and creative problem-solving abilitiesAbility to prioritize and execute tasks under pressureYou would benefit from having:
Experience in risk or anomaly detectionExperience with dbt (data build tool)Experience with orchestration tools like Airflow, Luigi, DagsterInterest/knowledge in working with LLMsExperience as a mentor or tech lead on an analytics teamActual salary will be based on factors such as skills, education, and experience.
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Develop and implement advanced risk detection and fraud prevention systemsCollaborate with Payments cross-functional partners to define key risk indicatorsIdentify variables that uncover risky behaviorPrototype, deploy, and maintain machine learning models for real-time fraud detectionIntegrate detection algorithms into internal tools and workflowsConduct research into emerging fraud techniques and adjust strategiesContinuously monitor and optimize system performanceWork with Risk and Fraud teams to understand trends and reporting needsCreate tools for monitoring data outliers and trend shiftsDesign dashboards to visualize and investigate transaction patternsDevelop automated anomaly detection systemsCollaborate across teams to analyze and communicate the impact of fraudDevelop customer risk profiles for transaction handlingPartner with product and business scientists to quantify fraud's impactAssist in creating dashboards linking fraud patterns to business performanceContribute to strategic planning sessionsDevelop reusable code libraries and modeling frameworksImplement best practices for version control and documentationParticipate in knowledge sharing sessions to elevate team capabilitiesThis role comes with the following benefits:
Base pay along with bonuses/commissionsRegular full-time employees are eligible for benefitsThis role requires you to have:
Bachelor's Degree in a STEM field4-6 years of related experienceProgramming: Python, SQL, RExperience with real-time payments/transactional dataExperience with machine learning modelsExperience with data pipelines for reportingExperience with cloud-based technologiesStrong interpersonal and communication skillsSelf-motivated and directedAnalytical and creative problem-solving abilitiesAbility to prioritize and execute tasks under pressureYou would benefit from having:
Experience in risk or anomaly detectionExperience with dbt (data build tool)Experience with orchestration tools like Airflow, Luigi, DagsterInterest/knowledge in working with LLMsExperience as a mentor or tech lead on an analytics teamActual salary will be based on factors such as skills, education, and experience.
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