Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Requirements

Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features.
Prior experience as a people manager.
Demonstrated commitment to equity, inclusion, and diversity.
Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

experimental designstatisticsdata processingdata storage

Soft Skills

people managementcollaborationcritical thinkingdata-informed storytellingstakeholder partnershipequityinclusiondiversity