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Associate Fraud Risk Data Scientist
2 weeks ago
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 implemenation 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
? 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
Compensation:$50/hour
We look forward to reviewing your application. We encourage everyone to apply - even if every box isn't checked for what you are looking for or what is required.
PDSINC, LLC is an Equal Opportunity Employer.
