Scribd is hiring a
Director Data Science Experimentation, Remote - United States, Canada
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Summary
The job is for a Director of Data Science and Experimentation at Scribd's Business Strategy & Analytics Team. The role involves guiding stakeholders, cross-functional efforts, leading experimentation platform development, delivering high-impact presentations, recruitment, and more. The candidate should have 10+ years of data science experience with 3+ years of direct report management experience.
Requirements
- 10+ years working in data science, with 3+ years of direct report management experience
- Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership
- Strong cross functional capabilities and the ability to influence across product, marketing, finance, and more
- Create analytical frameworks to measure team success: partner with cross-functional teams to define success metrics; create approaches to track the data and troubleshoot errors; quantify and evaluate the data
- Player-coach: enjoys getting their hands dirty and thrives in the “player-coach” model by hiring A players, coaching and guiding them, while at the same time diving deep to deliver key results if necessary
- Outstanding analytical and problem-solving skills with advanced knowledge of statistics and quantitative models and with hands-on technical capabilities: SQL mastery, fluency in Python and R (or other statistical analysis packages), and experience designing and analyzing advanced experiments and multivariate tests
- Undergraduate Degree or equivalent combination of education and experience in a related field.* Candidates for this role typically have a degree in Economics, Data, Computer Science, Mathematics, or related discipline
Responsibilities
- Act as a strategic advisor to internal stakeholders to guide their selection of ‘metrics that matter.’
- Lead cross-functional efforts to bring together data from multiple data sources to create customer segmentations, measure the incrementality of marketing spend, predict customer success events, and attribute downstream impact to high value customer actions
- Own the experimentation platform, creating a program of best practices around experimental design, self service, guardrails, and knowledge sharing
- Develop optimization metrics or north stars that represent the customer action or behavior we want to drive in each Scribd brand for use in experimentation
- Support a variety of stakeholders from marketing, payments, Core UX, growth, to Machine Learning and Discovery teams
- Deliver high-impact, highly visible presentations around strategy, processes, metrics, and KPIs to senior and executive level management
Preferred Qualifications
- Experience in marketing incrementality measurement, including media mix modeling, geo lift tests, or other attribution methods
- Demonstrated success in onboarding organizations to new experimentation software, managing a roadmap for data ingestion, metric development, and self service onboarding
Benefits
- The opportunity to make a big difference: Scribd is different from other subscription companies both because of the breadth and depth of our content library as well as the extent of our organic global user base
- Competitive equity ownership, and a comprehensive and generous benefits package
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