580 Associate Fraud Strategy Data Scientist

5 days ago

San Jose, CA, United States Jobs via Dice Full time
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:
  • Maximum 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
Key Job Functions:
  • 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
Expected Outcome in 6-12 months:
  • 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

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