580 Associate Fraud Strategy Data ScientistAIT Global inc. • San Jose, CA, United States
580 Associate Fraud Strategy Data Scientist
AIT Global inc. • San Jose, CA, United States
3 days ago
Job type
- Full-time
- Quick Apply
Job descriptionMaximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust / risk / fraud, or investigation / product abuse. Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus : Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Design rules to detect / mitigate fraud Develop python scripts and models that support strategies Investigate novel / large cases Identify root cause Set strategy for different risk types Work with product / engineering to improvement control capabilities Develop and present strategies and guide execution Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented
Job Title : Associate Fraud Strategy Data Scientist
Location : San Jose, CA
Job Description :
- HM does not wish to have a spotlight call for this req. Per HM, it's a standard Risk Data Scientist but w / Fraud.
- Here are a few must haves and additional info :
- Strong SQL proficiency
- Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
- Proficiency in AWS Quicksight and Tableau
- The position is hybrid, so candidates must be local to San Jose area.
- HM will entertain remote candidates if no viable local candidates can be sourced.
- Strictly contract to cover multiple leaves over a 1 yr. period.
- Potential to extend based on business need and performance.
- Day shift : M-F Pacific time
- Multiple Zoom interviews (2-3) SQL assessment during 1st interview.
We'd love to chat if you have :
Key Job Functions :
Expected Outcome in 6-12 months :
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Data Scientist • San Jose, CA, United States
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