Intern - IT Data Science

Company Description

Please note that we will not sponsor applicants for work visas for this position.

Our Mission

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.

We’re changing the nature of work. Palo Alto Networks is evolving 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. 

Job Description

Your Career

We are looking for highly-motivated data science interns who are passionate about using artificial intelligence to address the challenges of cybersecurity products and businesses. As a data science intern at Palo Alto Networks, you will have the chance to work 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.
• Work through 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
• Constantly learn and share the knowledge in the team, have a clear pulse on innovation across the enterprise SaaS, data science, product telemetry, customer data, and analytics communities

Your Responsibilities

• Conduct exploratory data analysis using statistical and data mining techniques on the real product and customer data of the cybersecurity industry
• Develop various ML models using product adoption and customer behavior data, and apply hyperparameter optimization to improve performance
• Work closely with data scientists/engineers/analysts - Present and interpret analytics findings and participate actively in discussions of results
• Document the details of data analysis and software development

Qualifications

Your Experience

• Currently pursuing PhD, Master, or Bachelor in STEM programs
• Superb communicator and relationship-builder
• Self-motivated team player and capable of working in a fast environment
• Strong analytical, quantitative, and problem-solving skills
• Strong Python/SQL programming experience
• Experience with statistical analysis and machine learning using Python libraries, e.g., scikit-learn, pandas, etc.
• Must be returning to school program in Fall 2023 and not graduating prior

Additional Information

The Team

The IT Data Science team builds and supports technology for our employees.  It’s crucial that everything we offer and support are easy for people to use and understand.  We have a high-performance culture filled with people that refuse to take no for an answer.  Our team takes pride in taking technical excellence to a whole new level and are intrinsically motivated to do some of our best work yet.

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.

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.

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer, the starting salary (includes on-target earnings = base + on target incentives for sales roles) is expected to be  $25/hr . The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

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.