Palo Alto Networks Senior Data Scientist in United States

Our Mission

At Palo Alto Networks® everything starts and ends with our mission: protecting our way of life in the digital age by preventing successful cyberattacks. It’s not a small goal. It isn’t simple either, but we aren’t in this for the easy answer. As a company with a foundation in challenging the way things are done, we’re looking for innovators with a dedication to best. In return, your career will have a tangible impact – one that's working toward technology that affects every level of society.

Our mission doesn’t happen by treading softly – no, it happens by defining an industry. It means building products that haven't been thought of. It means selling products with a solutions mindset. It means supporting the infrastructure of a company that moves at an incredible speed – intentionally – to stay ahead of the world’s next cyberthreat.

You Career

Are you passionate about using cutting edge data science techniques to help protect the world against cyberthreats? Join us and you’ll work with unique data sets to help protect large businesses in the world’s digital transactions, and the lifestyles they enable. What makes this problem so challenging is the dynamic nature of the threat landscape.

You will bring strong knowledge of using a variety of data mining and data analysis methods to build and implement models, algorithms, and simulations. Your expertise and passion will keep us ahead of newest cyberthreats. You will mine, interpret, and clean our data; and we will rely on you to stay curious, ask questions, connect the dots, and uncover opportunities that lie hidden. You will be part of the design and development of new groundbreaking solutions that will guide the next generation of security solutions.

We are looking for a self-motivated developer to join our engineering team and help us increase our productivity by providing needed internal tools and general engineering development support functions.

Your Impact

  • Create machine learning models that can detect anomalous behavior in network traffic

  • Help us build our next generation machine learning solutions

  • Innovate new ways to use existing technologies, incorporate novel open source technologies, and come up with their own solutions to our machine learning problems

  • Work closely with teams of expert engineers and data scientists

Your Experience

  • MS degree in Computer Science, Statistics, or related field

  • Experience with anomaly detection algorithms, such as LSTMs, RPCA, kNN, or ARIMA

  • Experience in analyzing network traffic a huge plus

  • Excellent programmer, especially with distributed systems like Hadoop or Spark

  • Strong problem-solving skills, ability to analyze complex multivariate problems and use a systematic approach to gain quick resolution

  • Superb communication (written and verbal) and presentation skills

The Team

To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we may be facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that aggressively address them. As a predictive enterprise environment, we analyze the petabytes of data that pass through our walls daily and we hire the finest minds in data science to build creative predictive analytics and data science solutions for a myriad of business problems.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. To learn more about our dedication to inclusion and innovation, visit our Life at Palo Alto Networks page at and our diversity website at .

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

Additionally, we are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or an accommodation due to a disability or special need, please contact us at .

EOE Protected Veterans/Disability.