Description

We are seeking a talented, enthusiastic, and dedicated Fraud Strategy Data Scientist to join our Risk Data Scientist team. In this role, you will support key projects related to fraud detection, risk analysis, and loss mitigation at Bill.com. Your experience in analytics, refining risk strategies, and developing predictive algorithms in the risk domain will be crucial.

Company Culture and Environment

Our work environment emphasizes collaboration and innovation, where team members are encouraged to share ideas and contribute to project development that impacts user trust and fraud mitigation.

Career Growth and Development Opportunities

This position offers opportunities for professional growth, especially in the fields of risk analytics and data science, with potential career advancement based on performance and business needs.

Detailed Benefits and Perks

• Day shift: M-F Pacific time
• Hybrid work schedule (candidates must be based in San Jose area)
• Opportunities for contract extension based on performance

Compensation and Benefits

• Competitive pay rate based on experience
• Focus on work-life balance with a structured day schedule

Why you should apply for this position today

By joining our team, you will have the opportunity to significantly contribute to the development and implementation of fraud strategies that directly enhance customer experience and security in the eCommerce space.

Skills

• Maximum 2 years of experience in risk analytics, data analysis, and data science in relevant industries
• Proficiency in SQL, Python, and Excel, including key data science libraries
• Experience in data visualization, especially with Tableau
• Strong analytical and problem-solving skills
• Ability to communicate complex results effectively to various stakeholders
• Familiarity with AWS Quicksight is a plus

Responsibilities

• Design rules to detect and mitigate fraud
• Develop Python scripts and models to support strategies
• Investigate novel and large fraud cases
• Identify root causes of fraud incidents
• Set strategies for different risk types
• Collaborate with product and engineering teams to enhance control capabilities
• Develop and present fraud strategies and guide execution

Qualifications

• Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or a related field
• Equivalent practical experience is also accepted
• Experience using statistics and data science to resolve complex business problems
• Experience working with large datasets

Education Requirements

• Bachelor’s degree in relevant fields is required

Education Requirements Credential Category

• Bachelor’s degree or equivalent practical experience

Experience Requirements

• A maximum of 2 years of experience in risk analytics, data analysis, and data science in relevant industries, particularly eCommerce, online payments, or fraud investigations

Why work in San Jose, CA

San Jose is a hub of innovation and technology, offering a vibrant culture and a strong community. The city is known for its beautiful weather, diverse population, and opportunities for professional development within the thriving tech industry.