Senior Data Scientist

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 are here for the 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 are changing the nature of work from benefits to learning, location to leadership. We have rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their personal choices, employees are empowered to push boundaries and help us all evolve together.

Job Description

Job Description

We are looking for experienced data scientists who are passionate about using artificial intelligence to address the challenges of cybersecurity products and businesses. As a senior data scientist at Palo Alto Networks, you will be responsible for working with different internal & external customers to build machine learning solutions to solve critical problems in product and business operation. With consistent innovation, you will develop and deliver tools and products that provide actionable recommendations to business partners. You will also contribute to producing patents for corporate intellectual property.

Your impact:

• As part of the IT Data Science team within the CIO organization, develop machine learning algorithms and statistical models to drive effective product, marketing, and personalized customer experience, e.g., propensity models, uplift models, next-best recommendation systems, etc.
• Own the full lifecycle of ML model development from ideation, data exploration, algorithm design, validation, and testing. Work closely with data engineers to develop modeling data sets and pipelines. Collaborate with DevOps team to deploy models in production, set up model monitoring, and in-production tuning processes.
• Be a master in cross-functional collaboration by developing deep relationships with key partners across the company. Discover new opportunities to apply ML techniques to solve critical problems and design a high-value roadmap that scales the impact of ML for customers.
• Constantly learn, have a clear pulse on innovation across the enterprise SaaS, data science, product telemetry, customer data, and analytics communities.

Qualifications

Qualifications:

• BS, MS or PhD in Computer Science, Mathematics, Statistics, Industrial Engineering and Operations Research, or other relevant quantitative fields.
• 2+ years industry/academia experience using advanced statistical and machine learning techniques such as clustering, linear and logistic regressions, PCA, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., RNN, CNN, LSTM), and other deep learning models (e.g., BERT). 
• Proficiency in one or more programming languages such as Python, R, Scala, Java.
• Advanced knowledge of SQL with strong data exploration and manipulation skills.
• Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred.
• Superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insights and recommendations.
• Excellent written and verbal communication and presentation skills, ability to work well with peers and leaders across analytics, product, marketing, and engineering organizations.
• B2B product & customer data experience is a big plus. Advanced cybersecurity product knowledge is also a plus.

Additional Information

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.

Palo Alto Networks is evolving and changing the nature of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we 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.

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

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.

All your information will be kept confidential according to EEO guidelines

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Covid-19 Vaccination Information for Palo Alto Networks Jobs

• Vaccine requirements and disclosure obligations vary by country.
• Unless applicable law requires otherwise, you must be vaccinated for COVID or qualify for a reasonable accommodation if:
• The job requires accessing a company worksite
• The job requires in-person customer contact and the customer has implemented such requirements
• You choose to access a Palo Alto Networks worksite
• If you have questions about the vaccine requirements of this particular position based on your location or job requirements, please inquire with the recruiter.

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