Data Scientist, Robinhood

• 4+ years of demonstrated experience in data analytics or data science, serving as the analytics expert within People Analytics or similar domains
• BA/BS/MS/PhD in behavioral science (economics, psychology etc) with strong statistical chops or a background in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior
• Excellent programming skills, including expert level familiarity with either Python (numpy, scipy, pandas) or R programming languages
• Expert level SQL skills
• Solid understanding of statistical analysis
• Experience communicating data driven insights
• The ability to use data to inform, persuade, and lead

Desirable

• Insights from data power most decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by our exceptional data science teams
• This Data Scientist - Analytics role will collaborate with partners in workforce planning, employee relations, talent acquisition, people leadership, and compliance to analyze data from various systems and sources
• The goal is to provide actionable recommendations across the entire employee lifecycle, from recruitment to employee experience and retention
• Translate business and leadership needs into actionable solutions by creating meaningful data visualizations, key insights, and metrics
• Use SQL to integrate data from various sources, building structures that provide a comprehensive view of employee journeys
• Apply quantitative techniques, including modeling, to address complex problems from diverse perspectives
• Enable quick decision-making by answering business questions using our extensive datasets
• Build and maintain scalable business intelligence tools and dashboards for People Analytics, covering the employee lifecycle with data from Greenhouse, Workday, and other sources. Collaborate with Data Engineering and vendors to automate, improve, and scale these solutions