Senior Data Scientist

Anomali delivers earlier detection and identification of adversaries in your organizations network by making it possible to correlate tens of millions of threat indicators against your real time network activity logs and up to a year or more of forensic log data. Anomali’s approach enables detection at every point along the kill chain, making it possible to mitigate threats before material damage to your organization has occurred.

Anomali LABS is the research and data science team at Anomali. We are responsible for conducting research and rapid prototyping to push the limits of security data science and threat research. We are looking for exceptional data scientists who are willing and able to work in a fast-paced, agile development environment to create game changing data and security products. You will work closely with our threat researchers and security engineers to implement both customer facing data products, visualizations, and analytics. You will apply advanced machine learning and statical methods to solve hard security data analytic problems. Much of our work is exploratory and experimental.

Minimum Greatness Level

• A passion for actionable data analysis and exploration. Your dream job is to sit in an IPython Notebook sifting through data and exploring relevant hypotheses all day long or brainstorming new data analytic techniques to identify security related anomalies in mountains of data.
• Experience in applying a wide variety of Machine Learning techniques and an intuition for the strengths and weaknesses of each at turning big data into actionable intelligence.
• You are confident using a scripting language like Python, Perl or Ruby and have the ability to pick up a new language or tool and make immediate use of it.
• You are a great problem solver and a quick learner. You are able to frame a problem out of ill-defined requirements, identify and incorporate each piece of relevant data, plan and execute a path to the solution, and validate your results.
• Great communication skills. You love making informative graphs to show off how well your most recent experiment performed.
• A collaborative approach to data analysis, a desire to share information and ideas, and an ability to see the big picture

Extra Credit

• A background in Applied Statistics, Optimization Theory, or Operations Research
• A deep understanding of computer systems, networks, protocols, and information security concepts
• Comprehensive understanding of Linux, big data and networking in modern, heterogeneous environments
• Data Visualization isn’t just a buzzword to you - it’s an art. You are passionate about making the results of your analysis both intuitive and interactive.
• Experience with distributed programming using Map Reduce, Spark, Shark, Hive, Pig, or Cascading
• Has presented at a security, data science, or big data conference.
• Prior experience working in startups

Remote work options are available on a case by case basis.