Data Scientist Internship

Job Description

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 design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for customer services and solutions enhancement. You’ll interact with product and marketing teams to identify questions and issues for data analysis and experiments. You’ll develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. As a Data Scientist Intern, you will identify meaningful insights from large data and metadata sources and communicate them to product, service, and business managers.

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 machine learning techniques
• Data manipulation using R and Python
• Experience with analytical tools like SAP BusinessObjects (BOBJ) and SAS
• Experience communicating key insights and findings to business stakeholders
• Experience with statistics, economics, or other relevant applied mathematics 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.