VP of Data Science

2 days ago

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SecurityScorecard

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SecurityScorecard is the global leader in cybersecurity ratings.

Third party security • risk management • vendor risk management • security ratings • Threat Intelligence

501 - 1000

💰 $180M Series E on 2021-03

Description

• The Head of Data Science is a leadership role responsible for developing and the ongoing operation of the company's tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning, generative AI, and other algorithms. • Responsible for defining the roadmap for your team and partnering with Product and Engineering to materialize those initiatives. • Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization. • Partner with senior business, product, and engineering leaders to develop strategic goals.

Requirements

• 10+ years of advanced analytics or data science experience • Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field • 5+ years of management experience in leading data science teams with a successful track record in building teams, defining goals and overseeing execution • Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning • Strong interpersonal and communication skills. You are equally comfortable presenting to executives and peers as well as writing complex SQL queries • Business Acumen – Proven ability to apply data science capabilities to solve practical business problems • Product Sense - Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skills • Expert level knowledge in predictive analytics, machine learning, and data mining • Proficiency in Python, Spark, Notebooks, AWS, Generative AI models, etc. • Data & ML Architecture – Experienced integrating data science applications into software products. Understands ML Ops (deployment/scalable infrastructure) • Has worked with data at scale and velocity • Mentor+Coach – A player-coach who can roll up sleeves, solve problems as a team, and facilitate the team’s success • Proven ability to attract, hire, develop, and retain exceptional talent • A dynamic, forward-thinking leader who will bring intensity and commitment to the business. A bias toward action, experimentation, and velocity

Benefits

• Specific to each country, we offer a competitive salary • Stock options • Health benefits • Unlimited PTO • Parental leave • Tuition reimbursements • Much more!