Lead Data Scientist, Thumbtack

• BA/BS degree in quantitative field such as Economics, Statistics, or Psychology
• 7+ years of experience, with at least 3 years in People Data Science/ People Analytics
• Strong written and verbal communication skills: this role will require writing content and explaining results to a variety of audiences, including senior leadership
• Strong experience using SQL to query large datasets, proficiency with Tableau and familiarity with statistics/programming languages (e.g., R, Python)
• Ability to detect and debug data anomalies in complex processes and a track record of working with business leaders to drive improvements and efficiencies
• Demonstrated ability to self-motivate and drive projects independently as well as partner successfully with cross-functional teams
• Strong prioritization and project management skills

Desirable

• The People Data Science Team is charged with empowering leaders and stakeholders across Thumbtack to make informed decisions about our most valuable resource, our people. We work on a broad spectrum of high-impact projects, from employee engagement to recruiting analytics, all in service of the business and our employees
• The Lead Data Scientist will spearhead analyses that shape People Team strategy and execution. Collaborating closely with People Team members and business leaders, they will design and analyze key questions, define and track success metrics, conduct research, propose new analyses, and support their teams in achieving their OKRs
• This high-impact, and high-visibility role involves working alongside senior leaders to drive change and promote a culture of informed decision-making. You'll have the opportunity to explore a broad range of topics within People Data Science, rather than being confined to a single area
• Use data and insights to tell a story about our talent
• Own initiatives and programs end-to-end spanning across the People Team (including Recruiting, Talent Management and DEIB, etc.)
• Collaborate with the People Team and business leaders to understand key drivers of People KPIs, and make recommendations based on detailed analysis and a deep understanding of our business and people initiatives
• Own data pipeline and data warehousing in Big Query for People Data Science from top-to-bottom. Partner with our centralized data engineering and HR Operations teams as necessary
• Scope and build Tableau Dashboards and other tools that will help stakeholders understand how and when they need to take action
• Communicate findings to senior leaders through formal presentations and standard management reports on a periodic (e.g., quarterly) basis
• Drive a culture of data-informed decision-making on the People Team and beyond