Data Scientist, Trust & Safety

Minimum Qualifications

• 4+ years experience in data analytics, strategy analytics or modeling role
• 4+ years experience developing BI applications (Tableau/Looker/Power BI, etc)
• Advanced skills with SQL are a must
• Proficient in Python
• Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc)
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication
• This role may require on-call rotations

Responsibilities

• Identify, monitor, and mitigate fraud activity
• Develop and implement high precision fraud prevention controls
• Process, clean, and visualize data from complex databases and create top-notch reporting solutions
• Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team
• Design experimentation frameworks such as decision trees and A/B test models, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates
• Design, build and enhance dimensional models for BI solutions
• Perform root cause analysis and resolve production and data issues
• Create test plans, test scripts, and perform data validation
• Tune SQL queries, reports, and ETL pipelines
• Build and maintain data dictionary and process documentation
• Research new tools and technologies to improve existing processes

Benefits

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Annual Learning & Development stipend
• Paid Parental Leave
• Flexible time off
• Salary Range: The base salary range for this role is between $120,000 - $168,000 in the State of New York, the State of California and the State of Washington
• This range is not inclusive of our discretionary bonus or equity package