Director, Data Science & Experiementation

July 23

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The best audiobooks, books, and more. Join us on our mission to inspire the world through stories and knowledge.

ebooks • publishing • subscription service • books • literary community

201 - 500

💰 $58M Private Equity Round on 2019-11

Description

• 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. • Demonstrate grit and break down complex problems into actionable development plans. • Recruit, hire, and develop world-class data science staff.

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.