Data Scientist - All Levels

Remote - USA

Abnormal Security

Advanced email protection to prevent credential phishing, business email compromise, account takeover, and more.

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Data Scientist (All Levels)

The Opportunity

Creating an effective cybersecurity product today is one of the most significant adversarial problem spaces you can find in AI, where evasion, poisoning, model stealing, etc. are all commonplace challenges. With highly-motivated & sophisticated bad actors who spend their days creating custom attacks designed to get past rigorous detection engines, their success amounts to an unprecedented existential risk to the organizations hit. We have built the best detection product in the market, and our solution consistently foils these types of attacks. But we are only as good as the next attack that we miss ...

So, how do you stay one step ahead of the attackers? This is the problem that the data science team at Abnormal Security has been tasked with solving. And it's one we'd love your help with too! We are looking for an experienced data scientist to join our team. You will work closely with a group of talented data scientists to measure and analyze the effectiveness of our detection products, and research opportunities to improve Abnormal Security’s ability to stop more attacks.

Who you are:

  • Love to dig into massive amounts of data to draw insights
  • Self-directed problem solver - from identifying problems, proposing hypotheses, doing analysis, to drawing conclusions
  • Not afraid to get your hands dirty - comfortable writing code or cleaning data when needed
  • Enjoy building products and solving new problems
  • Want to be a small fish in a big pond - enjoy learning from and teaching your peers
  • Interest in cybersecurity

What you’ll do: 

  • Work closely with product engineering to build new features and products
  • Analyze missed attacks or false positives to identify patterns and suggest opportunities for improvement
  • Build tracking to understand detection performance and end user experience
  • Research opportunities to improve detection of malicious attacks
  • Share insights with executives, peers, and industry partners
  • Work remotely in the US or Canada, or work out of our offices in San Francisco or NYC

Experience you’ll need:

  • 3+ years of experience as a full-time production Data Scientist (post-graduation)
  • Comfortable working in a highly autonomous manner 
  • Fluent in Python and SQL
  • Strong grasp of statistics fundamentals
  • Experience in a start-up or SaaS product environments
  • MS / PhD in an analytical field such as Math, Physics, Computer Science, or Economics

More About Abnormal Security:

Abnormal Security is defining the next generation of email security defense. Our platform uses machine learning and artificial intelligence to baseline communication content, user identity, and behavioral signals in real-time and at-scale in order to detect the abnormalities of email attacks.  Customers love us because we consistently detect and stop what everyone else in the market can’t -- advanced attacks that have never been seen before -- and we do so with beautiful user interfaces and best-in-industry customer support.

Our veteran team has built some of the most enduring machine learning platforms at leading companies including Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. We are located in San Francisco,CA, New York, NY and Lehi, UT.

Our company is growing - we’re on the Forbes AI 50, selected as a Gartner 2020 Cool Vendor, and our customer base includes multiple Fortune 500 companies.

Abnormal Security is committed to creating a diverse work environment. All qualified applicants will receive consideration without regard to race, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Economics Engineering Machine Learning PhD Physics Python Research Security SQL Statistics

Perks/benefits: Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  10  3  0
Category: Data Science Jobs

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