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Title: Associate Fraud Risk Data Scientist
Location: ( 100% Remote - Pacific Time )
Duration: 12+ Months
VISA: U.S. Citizens and s due to legal or government contract requirements.
Tax Term: W2
JD:
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.
We d 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.
- Bachelor s/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.
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.
- Bachelor s/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.
Hiring Manager Notes:
- Strong SQL proficiency
- Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
- Proficiency in AWS Quicksight and Tableau
- 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.
