Staff Data Scientist, DataOne

July 25

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HackerOne

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Peace of mind from security's greatest minds. #TogetherWeHitHarder

201 - 500

💰 $49M Series E on 2022-01

Description

• HackerOne is seeking a Staff Data Scientist for Product, DataOne to build and optimize data products and solutions, collaborate with Product as a trusted strategic partner, uncovering new ways to improve products and drive growth, as well as define, implement, and operationalize new feature, product, and company metrics from scratch, forecasting, and setting targets to drive accountability. • As a Staff Data Scientist, you'll be a cross-functional force multiplier, autonomously determining where to apply focus, contributing at all levels, elevating ambitions, and designing solutions to ambiguous business challenges. • Your first day will start with a warm welcome and technical onboarding! • Your journey doesn't stop here: your manager will work with you on your growth path toward the future of your career so you become the best version of yourself!

Requirements

• 8+ years experience as a Data Scientist, Data Analyst, Product Analyst, or similar quantitative role w/ proven track record of collaborating with Product as a trusted strategic partner, uncovering new ways to improve products and drive growth. • 8+ years of experience building and optimizing data products and solutions. • Extensive experience defining, implementing, and operationalizing new feature, product, and company metrics from scratch, forecasting, and setting targets to drive accountability. • Strong proficiency in SQL for data manipulation. • Strong proficiency in creating compelling data stories using data visualization tools such as Looker, Amplitude, Tableau, Sigma, Domo, or PowerBI. • Proven track record of having substantial impact across data and product organizations, demonstrating your ability to drive positive change and achieve significant results. • HackerOne is a digital-first company. This model offers our employees flexibility in time and location. All employees must be able to work and excel in a remote environment.