NetApp Emerging Talent - Information Technology

Job Summary

We are seeking candidates for an entry-level position with a passion for working in the information technology field. This role is designed for individuals looking to build on their existing skills and take the next step in their career.

From micro-services to the latest web framework, NetApp IT covers a wide gamut of technologies and applications, to deliver compelling solutions for our business.

As an IT employee, you would participate in planning, development, verification, troubleshooting and delivery of a system or major subsystems. This position requires an individual to be creative, team-oriented, technology savvy and driven to produce results.

We invest heavily in new talent. Your energy and fresh ideas are vital to cementing our position as a market -leader. We'll push you beyond your comfort zone with a belief that no idea is off-limits. At the same time, you'll have all the resources, mentoring and feedback you need to grow. What's more, whatever your role, you can be yourself in a team that celebrates individuality and welcomes different perspectives.

Job Requirements

Being part of or Information Technology group, you will work closely with a team that supports and enhances NetApp's world-wide business processes and systems. Our NetApp Emerging Talent roles differs depending on the team and scope of work but some potential areas of focus and skill sets are-

IT Systems:

• Excellent oral and written communication skills
• Experience with IT systems (applications, servers, networking, etc) or IT practices (operations, change control, release management)
• Ability to work collaboratively with cross-functional and technical team members to support deadlines
• Ability to work independently
• Strong aptitude for learning new technologies and understanding how to utilize these in a customer-facing environment.
• Multi-tasking and organizational skills
• Sense of urgency and determination to complete work

Analytics/Data Science:

• Creative and analytical approach to problem solving
• Project experience in data analysis, statistical modeling and hypothesis testing
• Working knowledge of one or more statistical analysis tools or languages & related libraries/packages: R (preferred), Python (preferred), SPSS, SAS, etc.
• Knowledge and application of concepts important in Machine Learning: e.g., cross-validation, regularization, bootstrapping, etc.

Additional Details:

• Job Posting Info: This is a pipeline position that will be opened on a recurring basis and used to fill roles aligned with the required skill sets.
• Program Dates: This is fulltime role with a flexible start date in 2024. Recruiting efforts will be ongoing until specific teams find an ideal match.
• Thrive Together: NetApp's approach to in-person and remote work will be a flexible hybrid model that emphasizes flexibility for employees and puts our talent first.

Experience

This position typically requires a Bachelors degree and 2 years of relevant work experience, a masters degree with no relevant experience, OR 6 years of industry relevant experience without a formal degree.

Compensation:
The target salary range for this position is 86,310 - 121,330 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

Nearest Major Market: Durham
Nearest Secondary Market: Raleigh
Job Segment: Information Technology, Statistics, Developer, Technology, Data, Research, Entry Level