Summary:

An early-stage investment of ours is looking to make their first IC hire in data science. Reporting to one of the co-founders (who is an industry veteran in DS), you will play a key role in shipping a category-defining product in cybersecurity (and author a new taxonomy and labels for the space as well).

Going deep into raw data from large-scale enterprise systems (customers are F500's), you will generate insights from user behavior and create risk models, while leveraging AI, to develop products that incorporate these signals in a GenAI behavioral system.

Our ideal candidate will have more experience doing data science work at companies where DS is the core product vs DS being in an assistant role (e.g., experimentation, optimization, etc.).

Qualifications:

MS / PhD with 4+ years industry experience in quantitative/statistical analysis of large-scale problems leading data science efforts
Expertise in statistics, behavioral analysis, causal inference, predictive modeling, and/or anomaly detection strongly desired
Strong coding skills in Python required

About Us:

Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: https://greylock.com/

How We Work:

We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately.

Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.

Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

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