Director, Data Science 

At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.

Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.

Data is at the core of Lacework’s products and operations, and the Data Science & Engineering org is pivotal in how data is leveraged across the company. We are looking for a strong and experienced leader for Lacework’s Data Science team in this org.

In this highly cross-functional role, you will interact with leadership at all levels across product, engineering, and beyond. We are looking for someone capable of setting a strategic direction for the team and supporting fast paced execution towards desired goals.

Responsibilities

• Support and lead a team of data scientists at different stages of their career.
• Provide technical guidance to team members, and directly contribute to projects as needed.
• Guide the team’s output in diverse domains (product, security, infrastructure, sales, and more).
• Promote fast and tight execution, tied to company’s priorities.
• Provide strategic leadership and overall direction for the team’s long-term positioning and impact.
• Collaborate with a wide array of cross-functional partners and stakeholders.
• Promote the use of data to drive decision making, in partnership with peers from Data Engineering and Data Analytics teams.
• Advance the Data Science discipline at Lacework, driving best practices, expanding our stack, and improving processes.
• Identify opportunities where Data Science can improve Lacework’s products, processes, and infrastructure.

We’re excited about you because…

• You have 8+ years of experience working as a data scientist, of which at least 4 spend as a people manager.
• You have experience leading teams in complex cross-functional environments.
• You have a track record of identifying opportunities for Data Science impact and moving fast towards delivering outcomes.
• You have a degree in a quantitative discipline (Computer Science, Statistics, Engineering, Economics, or other). MS or PhD are a plus.
• You have strong working knowledge of fundamental Statistics and Machine Learning concepts and methods.
• You have experience with data query languages (SQL or similar) and programming languages (Python or R).
• You have excellent communication skills, with the ability to translate complex data concepts into actionable business insights.
• As a plus, you have experience applying Data Science at b2b or SaaS companies.