Randstad US
senior data scientist
Randstad US, San Francisco, California, United States, 94199
Category: Computer and Mathematical OccupationsReference: 1068631Job Summary:
*SQL assessment required with candidate submittal.We are looking for a Senior Data Scientist who will work as a "floater" for the analytics team, moving from team to team, focusing on the highest priority projects.Investigate new fraud use cases for new Business lines (aka NBV fraud) and build dashboards and reports to track our performance and recommend actions.Build dashboards and reporting to track low performing (expensive) promotions across the business and recommend purge and other actions to improve overall payback.Job Type:
ContractSalary:
$70.00 - $86.67 per hourWork Hours:
8am to 5pmResponsibilities:
Collaborate with product, engineering, and business partners to understand product context and business requirements.Collect, analyze, and visualize product data in dashboards to monitor key performance metrics.Conduct analysis to diagnose root cause of underperforming product metrics and communicate key findings to stakeholders.Build and maintain ETL pipeline for new product features and validate data accuracy.Qualifications:
Minimum 3 years of experience.Skills:
Data AnalysisSQLETL
#J-18808-Ljbffr
*SQL assessment required with candidate submittal.We are looking for a Senior Data Scientist who will work as a "floater" for the analytics team, moving from team to team, focusing on the highest priority projects.Investigate new fraud use cases for new Business lines (aka NBV fraud) and build dashboards and reports to track our performance and recommend actions.Build dashboards and reporting to track low performing (expensive) promotions across the business and recommend purge and other actions to improve overall payback.Job Type:
ContractSalary:
$70.00 - $86.67 per hourWork Hours:
8am to 5pmResponsibilities:
Collaborate with product, engineering, and business partners to understand product context and business requirements.Collect, analyze, and visualize product data in dashboards to monitor key performance metrics.Conduct analysis to diagnose root cause of underperforming product metrics and communicate key findings to stakeholders.Build and maintain ETL pipeline for new product features and validate data accuracy.Qualifications:
Minimum 3 years of experience.Skills:
Data AnalysisSQLETL
#J-18808-Ljbffr