Senior Data Scientist, Gemini

• 5+ years experience in data analytics, or strategy analytics
• 5+ years experience developing a 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

Desirable

• As a member of our Trust and Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business.
• You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams.
• You know how to ask the right questions and are passionate about using data to support and drive informed business decisions.
• You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects.
• You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization
• 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 tests, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates
• Design, build and enhance data 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