Haven't seen much on this board about info security, so figured I'd highlight (for those new to data science) that there are tons of high paying opportunities in the Infosec space (SIEM data analysis and visualization, vulnerability management, threat intelligence, etc.) for data junkies. I do data science in Infosec, so if interested, AMA.
In LA??
Are you asking if there are data science infosec opportunities in LA?
If so, then yes. I've done quite a bit of work in LA within the past couple years
Do you mean basic statistics and security? I've never seen real machine being used successfully let alone necessarily.
It’s been used pretty successfully in bot detection and anomaly detection in network traffic/log data (have done some of this work myself). I’ve seen some interesting work with malware detection but don’t haven’t done any of it myself so my firsthand knowledge is a bit lacking.
ML is heavily used in security domain. Yet, ML based engines are not definitive in terms of giving final decision. They are used to highlight anomalies and potentially malicious activities. Combining with other methods, they are pretty useful.
Any recommendations on how to get started with Data Science, books training etc? I am currently working as a security engineer and have been interested in Data Science..just haven't jumped in yet
I don't know about a single book, but some areas to investigate...Python, if you aren't already coding. The requests library is great for API interaction. ElementTree for XML parsing. BeautifulSoup with a decent knowledge of regex is good for web scraping of unstructured data. Pygal is great for data visualization. Pandas and Numpy are both great for analytics and computation. Obviously knowing your way around databases is important. For ML, SciKitLearn has a lot of good online courses (Coursera, Udemy, etc). There are a lot of other options out there too. Python has tons of data libraries
Also, mechanize is one of my favorite libraries for browser emulation (which can provide you way more access to unstructured data on the web than traditional httplib)
How high paying? I'm considering transitioning out of a $200k (and increasing) web dev role into infosec.
That's going to be tough to compete with. I'm at 190 and already feel like I've hit the ceiling without going into management (which I don't want to do). But as always, location and skill level can allow for exceptions. I'm in a low cost of living area, and since you're Google... I'm guessing you are CA... so may be a higher ceiling out there.
And actually, my role was budgeted at about 30k less than that, but apparently impressed enough people that they made an exception.
Most security orgs are so archaic and technologically challenged that data science isn't a well known field within infosec, unfortunately. That's not the case in the top 1% tech companies of course, but the broader economy still has their training wheels on for data science in infosec. That said, how long do you think it'd take someone to go from 'ok in infosec' and 'just took a couple basic pandas/python courses' to being employed in infosec as a data scientist? And what's the entry level pay look like?
Hi, I have 4+ yoe in Big Data and 3+ in InfoSec. I don't feel satisfied with my just InfoSec job. I want to combine my skill set and I feel like the roles like the ones you mentioned are the ones I wanted to work for all along. I am applying for Threat Intelligence Analyst roles but not getting any call backs. I want to prepare for such roles. Can you please help/mentor me to prepare for these jobs? Any help or guidance is highly appreciated. Thank you.
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just starting to roll out to everyone's tools. I've seen offerings in ELK and Trend Micro to name a few.
Machine learning is being used in some interesting ways already. In penetration testing space, ML has been applied to bypass CAPTCHA or beat weak PRNGs. Also becoming more common approach to threat detection to identify anomalous behavior on the network. Also in quite a few ways in threat intel too