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Open nowFirst seen 5 days ago

Associate Fraud Risk Data Scientist

5 Star1,197 open roles

Where
San Jose, California, United States
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Your applicationOpen nowAssociate Fraud Risk Data Scientist5 Star · San Jose, California, United States

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

JOB DESCRIPTION:

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus.

Wed love to chat if you have:

  • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
  • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
  • Experience using statistics and data science (machine learning & AI) to solve complex business problems
  • Proficiency in SQL, Python, AWS, 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 AI and machine learning 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 development and implementation of AI tools (e.g. LLMs) for risk use cases.

Key Job Functions:

  • Design and develop machine learning and AI models detect/mitigate fraud
  • Support stakeholders and cross-functional teams in effective usage of models
  • Drive AI transformation for all risk management activities at BILL
  • Work with product/engineering to implement, monitor and refine AI solutions and models

Expected Outcomes:

  • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions.
  • Utilize data analysis to design and implement fraud models
  • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI 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 models implemented

Preferred Skills:

  • Machine Learning & Artificial Intelligence
  • Data Science
  • Model development
  • Dashboard Creation
  • Project Management
  • Strong Communication Skills.

Notes from Hiring Manager:

  • Strong SQL proficiency
  • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
  • Proficiency in AWS Quicksight and Tableau
  • This is a hybrid position, so candidates must be based in the 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.

MUST HAVE:

  • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
  • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
  • Experience using statistics and data science (machine learning & AI) to solve complex business problems
  • Proficiency in SQL, Python, AWS, Excel including key data science libraries
  • Proficiency in data visualization including Tableau
  • Experience working with large datasets
  • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.
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