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Data Science and Analytics Intern
Int*** · Phoenix, AZ, United States
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Phoenix, AZ, United States71,100-96,200 USD/yearlyOnsite
Remuneration
71,100-96,200 USD/yearly
Location
Phoenix, AZ, United States
Visa sponsorship
Sponsors visa
Job summary
JOB DETAILS: JOB DESCRIPTION: Intel Foundry - Advanced Packaging Technology and Manufacturing (APTM) is seeking an Intern in Data Science and Analytics to join our operations team. In this role, you will gain hands-on experience collecting, analyzing, and interpreting large-scale datasets using statistical methods and programming techniques.
Benefits
We offer a total compensation package that ranks among the best in the industry.It consists of competitive pay, stock bonuses, and benefit programs which includFind out more about theOf working at Intel .Annual Salary Range for jobs which could be performed in the US: $71,100.00-96,2The range displayed on this job posting reflects the minimum and maximum targetOur standard internship rates are based on your degree, location, and the job roYour recruiter can share more about the specific compensation range for your preWork Model for this RoleThis role will require an on-site presence.Job posting details (such as work model, location or time type) are subject to cADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA
Qualifications
- into technical
- for IT partnerships
- Collaborate with data scientists, analysts, and engineers on data-driven projects
- Support data storytelling initiatives to communicate insights to stakeholders
- Present business impact of analytical work to senior leadership
- Learn and apply knowledge while building
- You must possess the below minimum
- to be initially considered for this position.
- Preferred
- are in addition to the minimum
- and are considered a plus factor in identifying top candidates.
- Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.
Responsibilities
- In this role, you will gain hands-on experience collecting, analyzing, and interpreting large-scale datasets using statistical methods and programming techniques.
- You will leverage cutting-edge data
- Contribute to the collection, analysis, and interpretation of large operational datasets
- Assist in building data models, dashboards, and visualizations that support business decision-making and operational improvements
- Develop scalable data models to help reduce time spent manually gathering key business metrics
- Translate business
Skills
Leadership
Degrees
AssociateBachelorDegreeMaster
Industry
DefenseEducationEnergyLogisticsManufacturingMedia
Company size
Smb