Fraud Strategy Data Scientist - Real-Time Risk Analytics

Globalchannelmanagement; San Jose (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading data analytics firm in California, San Jose is seeking an Associate Fraud Strategy Data Scientist with 2 years of experience in risk analytics and data science. The ideal candidate will utilize data analysis to develop fraud strategies, collaborate with product managers and engineering teams, and create dashboards for tracking KPIs. Proficiency in SQL, Python, and visualization tools like Tableau is essential. This role offers an opportunity to lead data-driven solutions to enhance user trust and mitigate fraud.

Qualifications

• 2 years of experience in risk analytics, data analysis, or data science.
• Experience using statistics and data science to solve complex business problems.
• Experience in SQL, Python, and Excel including key data sciences libraries.

Responsibilities

• Consult, design, develop, and manage fraud strategies.
• Utilize data analysis to implement fraud strategies.
• Collaborate with stakeholders to deploy data-driven solutions.

Skills

Risk analytics

Data analysis

Data science

SQL

Python

Excel

Data visualization

AWS Quicksight

Tableau

Education

Bachelor's degree in Data Analytics, Data Science, or related field

Job description

A leading data analytics firm in California, San Jose is seeking an Associate Fraud Strategy Data Scientist with 2 years of experience in risk analytics and data science. The ideal candidate will utilize data analysis to develop fraud strategies, collaborate with product managers and engineering teams, and create dashboards for tracking KPIs. Proficiency in SQL, Python, and visualization tools like Tableau is essential. This role offers an opportunity to lead data-driven solutions to enhance user trust and mitigate fraud.