Senior Data Scientist

Summary

Join Gemini's Trust & Safety team as a Senior Data Scientist and leverage your analytical and communication skills to shape data approaches across the business. Focus on customer onboarding, transactions, and payment strategies to reduce return rates and identify fraudulent activities. Collaborate with cross-functional teams, design experiments, and build data solutions. You will perform root cause analysis, create test plans, and optimize data processes. This role requires strong SQL, Python, and BI application skills, along with experience in data analytics and working collaboratively. Gemini offers a competitive salary, bonus, equity grant, comprehensive health plans, 401k matching, paid parental leave, and flexible time off.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Proficient in Developing LookML
• Knowledge and experience of financial markets, banking or exchanges
• Experience working in small firms or start up technology first

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
• Paid Parental Leave
• Flexible time off
• In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce