FAQs
What type of degree is required for this Data Scientist position?
A PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any related discipline is required, or equivalent work experience or demonstrated competence.
How much prior work experience is allowed for applicants?
Applicants can have no more than 12 months of prior work experience professionally related to the Graduate Hire Requisition they are applying to, excluding internships, teaching assistance, research work, or military experience.
What is the salary range for this role?
The base pay range for this role is $111,600 to $167,400 annually, with additional pay opportunities in the form of bonuses and/or equity for US candidates.
What benefits does HP offer for this position?
HP offers a comprehensive benefits package including health, dental, vision, short-term and long-term disability insurance, life insurance, an employee assistance program, a flexible spending account, and generous time off policies.
What is the purpose of the new grad program at HP?
The new grad program is intended to help students and new graduates learn and grow at HP, make an impact, and work with leading-edge technology in various organizations within the company.
Will I have the opportunity to mentor others in this role?
Yes, the role involves providing guidance, training, and mentoring to less experienced staff members.
How does this role contribute to the company's innovation?
This role is responsible for enabling innovation and creativity by using cutting-edge data mining and modeling techniques to assess, build, and deploy necessary capabilities, thereby driving business value and insights.
Is there an emphasis on diversity and inclusion at HP?
Yes, HP is committed to fostering a diverse and inclusive workplace that attracts exceptional talent and supports employees to succeed at all levels.
What responsibilities will I have regarding stakeholders?
You will work with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.
Does HP have any initiatives for employee development?
Yes, HP aims to drive standardization, productivity, and cross-team learning by establishing processes and SOPs for the entire data model development lifecycle, promoting continuous improvement and employee development.