Insight Global
Job Overview
Data Scientist for Fraud Risk Data Science Team within Risk Data & AI Innovation Org at Insight Global, Permanent, San Jose, CA.
Responsibilities
Support key projects associated with fraud detection, risk analysis and loss mitigation.
Develop and deploy machine learning models using cutting‑edge AI/ML frameworks.
Perform analytics, statistical analysis and model monitoring.
Communicate complex results to technical experts, business partners and executives, including developing dashboards and visualizations.
Steer AI and machine learning projects toward clear business goals, testable hypotheses and action‑oriented outcomes.
Required Skills and Experience
1-3 years of experience in machine learning/AI, data science, risk analytics & data analysis within 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.
Proficiency in SQL, Python, AWS, Excel and key data science libraries.
Experience using statistics and data science (machine learning & AI) to solve complex business problems.
Proficiency in data visualization including Tableau.
Experience working with large datasets.
Ability to clearly communicate complex results to technical experts, business partners and executives and develop dashboards/visualizations.
Comfortable with ambiguity and able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action‑oriented outcomes.
Desirable: 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.
Seniority Level Associate
Employment Type Full‑time
Benefits
Vision insurance
Medical insurance
401(k)
#J-18808-Ljbffr
Responsibilities
Support key projects associated with fraud detection, risk analysis and loss mitigation.
Develop and deploy machine learning models using cutting‑edge AI/ML frameworks.
Perform analytics, statistical analysis and model monitoring.
Communicate complex results to technical experts, business partners and executives, including developing dashboards and visualizations.
Steer AI and machine learning projects toward clear business goals, testable hypotheses and action‑oriented outcomes.
Required Skills and Experience
1-3 years of experience in machine learning/AI, data science, risk analytics & data analysis within 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.
Proficiency in SQL, Python, AWS, Excel and key data science libraries.
Experience using statistics and data science (machine learning & AI) to solve complex business problems.
Proficiency in data visualization including Tableau.
Experience working with large datasets.
Ability to clearly communicate complex results to technical experts, business partners and executives and develop dashboards/visualizations.
Comfortable with ambiguity and able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action‑oriented outcomes.
Desirable: 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.
Seniority Level Associate
Employment Type Full‑time
Benefits
Vision insurance
Medical insurance
401(k)
#J-18808-Ljbffr