Job Description:
May 10, 2016
San Francisco, CA, United States
Data Science is one of the pillars of Endgame's Research and Development organization. Our mission is to leverage data science to generalize, automate and scale our computer security products to detect unknown threats and anomalies in customers’ networks. Our talented team of data scientists have skills that span a broad range of expertise including supervised, semi-supervised, and unsupervised learning techniques.
As the Director of Data Science at Endgame, you report directly to Jamie Butler, the CTO of Endgame who directs R&D and Engineering. You manage the efforts of the data science team across products and projects within the company. You also set the technical vision and direction of data science with Jamie and the executive leadership team.
Requirements:
Managed a team of data scientists and set the technical direction of the team 7+ years of experience as a data scientist, with a background (MS or PhD preferred) in machine learning, statistics, bioinformatics, signal processing or related field Excellent communication skills both at a technically deep level with PhD-level data scientists and at the layman’s level to explain difficult machine learning concepts Proven ability to prioritize and drive product-centric machine learning R&D efforts across a geographically distributed team of data scientists and engineers Comfortable interacting with engineering, marketing, sales, legal and other parts of the organization Experience applying data science to the domain of cybersecurity Delivered high-quality internal machine learning tools and customer-facing data science solutions with the data science engineering teams Consideration for remote candidates will be given to exceptional talent with a proven history of working with remote teams.
Endgame is characterized by a high degree of autonomy and flexibility, intellectual engagement, and a competitive compensation structure that rewards performance. We do not discriminate on the basis of age, disability, gender, national origin, race, religion or sexual orientation.
Additional Info:
[Click Here to Access the Original Job Post]
May 10, 2016
San Francisco, CA, United States
Data Science is one of the pillars of Endgame's Research and Development organization. Our mission is to leverage data science to generalize, automate and scale our computer security products to detect unknown threats and anomalies in customers’ networks. Our talented team of data scientists have skills that span a broad range of expertise including supervised, semi-supervised, and unsupervised learning techniques.
As the Director of Data Science at Endgame, you report directly to Jamie Butler, the CTO of Endgame who directs R&D and Engineering. You manage the efforts of the data science team across products and projects within the company. You also set the technical vision and direction of data science with Jamie and the executive leadership team.
Requirements:
Managed a team of data scientists and set the technical direction of the team 7+ years of experience as a data scientist, with a background (MS or PhD preferred) in machine learning, statistics, bioinformatics, signal processing or related field Excellent communication skills both at a technically deep level with PhD-level data scientists and at the layman’s level to explain difficult machine learning concepts Proven ability to prioritize and drive product-centric machine learning R&D efforts across a geographically distributed team of data scientists and engineers Comfortable interacting with engineering, marketing, sales, legal and other parts of the organization Experience applying data science to the domain of cybersecurity Delivered high-quality internal machine learning tools and customer-facing data science solutions with the data science engineering teams Consideration for remote candidates will be given to exceptional talent with a proven history of working with remote teams.
Endgame is characterized by a high degree of autonomy and flexibility, intellectual engagement, and a competitive compensation structure that rewards performance. We do not discriminate on the basis of age, disability, gender, national origin, race, religion or sexual orientation.
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Additional Info:
[Click Here to Access the Original Job Post]