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.

Lacework is the data-driven security platform for the cloud. The Lacework Cloud Security Platform, powered by Polygraph, automates cloud security at scale so our customers can innovate with speed and safety.

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—all while building bonds of teamwork and friendships that last a lifetime. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.

The Data Science & Engineering team is central to Lacework, and collaborates across multiple domains to ship value through data analysis and modeling. Our work contributes directly to delivering the core data-driven products and features that Lacework offers to its customers, as well as improving and optimizing the technologies and processes that the company relies upon.

The Role: We are looking for a Data Scientist Intern to join our Data Science & Engineering team. This is a hands-on role where you will be responsible for executing on projects with tangible deliverables for the company and to our customers. You will be expected to:

• Employ languages and tools like SQL, Python, R, and/or others to perform efficient data exploration and modeling, and deploy those solutions in production.
• Build actionable insights and models to help drive critical decisions and improve our products.
• In partnership with engineering, product and business teams, build roadmaps & goals and execute against them while balancing speed, accuracy and precision.
• Build strong cross functional partnerships.
• Demonstrate good communication skills and present work to peers and leadership.
• Strive to use general and scalable methodologies and tools; stay current with the latest tools and techniques.

Minimum Qualifications

• Currently enrolled in a degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Economics, or other related fields).
• Experience doing quantitative analysis including experience with SQL, other programming languages (e.g, Python) or statistical/mathematical software (e.g, R, SAS, MATLAB).
• Experience with statistical methods such as forecasting, time series analysis, experimentation, hypothesis testing, classification, clustering, anomaly detection, regression analysis and/or others.
• Experience developing data pipelines, building dashboard, and deploying machine learning models.
• Ability to deal with ambiguity, drive projects / analyses to conclusion with limited supervision and communicate analysis in a clear, concise and actionable manner.

Preferred Qualifications

• Currently enrolled in an advanced degree (Master’s or PhD) in a quantitative field.
• Experience with cloud platforms like Snowflake, AWS, GCP, etc.
• Experience in Cloud Security or Infrastructure Security.

Lacework is an Equal Opportunity Employer. It is the policy of Lacework to provide equal employment opportunity to all persons, regardless of age, race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, age, sexual orientation, membership, or non-membership in an employee organization, or on the basis of personal favoritism or other non-merit factors, except where otherwise provided by law