Manager, Data Science (REMOTE) - FireEye, Inc. Reston, VA, USA Bookmark Share Print 651 1 5

Listing Description

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Company Description:

FireEye is the leader in intelligence-led security-as-a-service. Working as a seamless, scalable extension of customer security operations, FireEye offers a single platform that blends innovative security technologies, nation-state grade threat intelligence, and world-renowned Mandiant® consulting. With this approach, FireEye eliminates the complexity and burden of cyber security for organizations struggling to prepare for, prevent, and respond to cyber attacks. FireEye has over 7,000 customers across 67 countries, including more than 45 percent of the Forbes Global 2000.

Job Description:

If you dream of a job working in a field where all of the hard problems are solved and you get to re-use previous research to get your job done, you need not apply. If, however, you are someone who wants to tackle problems that truly are on the cutting edge, then we encourage you to keep reading.

The FireEye Data Science team develops innovative, machine learning (ML) and data-driven solutions to improve FireEye’s detection and response capabilities. A great example is our team’s development of the MalwareGuard model which is being used today by all FireEye products. Our team has grown significantly over the last two years and we’re looking for the right person to join us and continue creating and delivering impactful ML solutions to FireEye’s products and services.

As a Manager of Data Science at FireEye, you will be leading an experienced team on applied research projects. That can range from adding new analytic capabilities to existing FireEye products and services to generating new products altogether. You will be expected to prove out your ideas by building proof of concepts, working with subject matter experts to refine models, working with software engineers to ensure models are implemented well, and finally following through to ensure the analytics capabilities are functioning as expected. Being able to exchange ideas, prioritize projects, allocate resources, ask questions and the ability to work with and communicate clearly to non-data scientists are all musts.Manage and provide technical leadership for a mission-focused and high performing team of data scientists.

Build proof of concepts (POCs) and refined data analysis models.

Collaborate with the Data Science Engineering team to ensure data needs can be planned for and transition of POC models to production goes smoothly.

Partner with Product and Service teams to ensure data science solutions meet their needs.

Share our team’s findings with the security community through external publications, presentations and blogs.

Identify opportunities to improve our existing processes and workflow.

Refine unclear objectives and requirements into a concrete research plan.

Operate as a thought leader in the security data science community.