Data Scientist

Hybrid: Santa Clara, CA Compensation: $40-$42 12 month contract w/ extension 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. REQUIRED SKILLS AND EXPERIENCE ●1-3 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.