Associate Fraud Strategy Data Scientist

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

Overview

Associate Fraud Strategy Data Scientist needs 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.

Qualifications

• Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
• Experience using statistics and data science to solve complex business problems.
• Experience in SQL, Python, Excel including key data science libraries.
• Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation.
• Experience in data visualization including Tableau.
• Experience working with large datasets.
• Proficiency in AWS Quicksight and Tableau
• Data analytics and models
• Project Management

Responsibilities

• Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.
• Utilize data analysis to design and implement fraud strategies
• Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud 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 strategies implemented