Job Information
Robert Half Data Scientist in San Francisco, California
Description
Roberthalf is looking for a Data Analyst/Scientist you will be involved in the pivotal responsibility of creating, maintaining, and improving upon data strategies related to fraud detection for our company's New Business lines and evaluating promotional costs for performance efficiency.
Responsibilities:
Work collaboratively with product, engineering, and business partners to understand and decode the context of new business lines and product requirements.
Drive the planning and execution of data analysis for the detection of new fraud cases across newly implemented business lines.
Design, construct, and manage comprehensive dashboards and reports to track performance metrics for NBV fraud.
Evaluate the performance of various promotions across our business, look for cost inefficiencies, and provide strategic recommendations.
Compile, validate, and perform complex data analysis to diagnose underperformance spots, identify causes, and advise on improvement steps.
Develop and maintain the ETL pipeline for new product features, ensuring data accuracy at all times.
Requirements
Skills and Qualifications:
Proficient in writing complex SQL queries and consolidating data from multiple sources.
Demonstrable experience in ETL pipeline building for product data.
Excellent problem-solving abilities with a hypothesis-driven approach.
Strong ability to translate ambiguous business requirements into clear, actionable data requests.
Comfortable working at a fast pace in a cross-functional environment.
Excellent communication skills to clearly present data-driven business insights.
An independent and proactive approach, with a strong ability to troubleshoot and self-motivate.
This role is crucial for the expansion of our business lines while keeping fraudulent activities in check, and playing a part in the strategic improvements in our promotional costs. If you possess the necessary skills and have a keen eye for detail, we would love to hear from you
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