Staff Data Scientist(DLP)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Palo Alto Networks® everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life.
We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Disruption is at the core of our technology and on our way of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. We’re changing the nature of work from benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.

Job Description

Your Career

We are looking for a brilliant Data Scientist that wants to make a career out of using machine learning to address security problems. Our team finds solutions to hard problems, is innovative in finding data, builds models, and puts them into production. We produce several patents every year.

Your Impact

• Apply machine learning, NLP, and deep learning methods to analyze unstructured data sets, perform context analysis, and extract complex patterns
• Perform research related to security and malware
• Work on distributed clusters and GPUs with large amounts of data
• Interact with teams of expert engineers, security researchers, and data scientists
• Design and develop machine learning models by evaluating with smaller prototypes and later productionizing solutions while working closely with the engineering team

Qualifications

Your Experience

• BS, MS in Computer Science, Statistics, or related field with 3 years relevant experience as a machine learning engineer or a data scientist
• Be an excellent programmer; experience with distributed cloud systems like GCS or AWS and containers like Docker a plus
• Experience with frameworks such as TensorFlow, PyTorch, Keras, Scikit, Learn, etc. is a big plus
• Have a strong working knowledge of machine learning algorithms that may include XGBoost/CatBoost, CNNs, LSTMs, NLP frameworks like SpaCY, Gensim, NLTK, Byte Pair Encoding schemes, etc.
• Be comfortable working independently, have the ability to come up with novel solutions to difficult problems
• Bonus: Passion for security, prior experience in NLP and/or security products or services
• Excellent communication (written and verbal) and presentation skills