Red Hat Data Scientist Internship in Raleigh, North Carolina

Company description

At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, storage, and virtualization technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies.

Job summary

The Red Hat Products and Technologies (PnT) Planning and Analytics team is looking for a Data Scientist Intern to join us in Raleigh, NC. In this role, you will contribute to our understanding and modeling of the customer experience and life cycle. You’ll analyze large and complex datasets around our customer product usage and build models to identify workloads and footprints. As a subscription-based company, Red Hat must identify, at scale, key issues that lead to customer satisfaction or dissatisfaction and create models which guide areas of investments in our product portfolio, and you’ll help us with that.

Primary job responsibilities

  • Analyze high-volume, unstructured data sources to build new structured models for customer interactions and product consumption

  • Develop machine learning (ML), data mining, and statistical techniques and algorithms to create new scalable solutions for business problems by analysis of large amounts of data

  • Create visualizations of data for internal and external consumption

  • Collaborate with other developers and analysts across teams and technologies on cross-team projects

Required skills

  • Experience creating predictive models to help businesses identify and understand key customer behaviors

  • Experience using open source statistical computing toolkits like R, Apache Mahout, and scikit-learn

  • Experience with ML techniques

  • Familiarity with data manipulation using R and Python

  • Experience with analytical tools like Tableau, Qlik, SAP BusinessObjects (BOBJ), and SAS

  • Experience communicating key insights and findings to business stakeholders

  • Experience in statistics, economics, or other relevant applied quantitative discipline

  • Master’s degree in data science, mathematics, computer science, or a related quantitative field

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Job ID 65563

Category Software Engineering