", "identifier": { "@type": "PropertyValue", "name": "Bechtel Corporation", "value": "76357" }, "datePosted" : "2018-12-22", "employmentType" : "FULL_TIME", "hiringOrganization" : { "@type" : "Organization", "name" : "Bechtel Corporation" }, "jobLocation" : { "@type" : "Place", "address" : { "@type" : "PostalAddress", "addressLocality" : "Spring City", "addressRegion" : "TN", "postalCode" : "37381", "addressCountry": "US" } } } }
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2019 Student Internship (U.S.) - Big Data Analytics (IS&T) ( TN2)

Overview
Bechtel has a long tradition of technical and engineering excellence in supporting multiple industries. Our employees use their ideas and ingenuity to create innovative, practical, and cost-effective solutions for our customers and our business. Bechtel's internship program was created to cultivate real-life industry interest based on hands-on experience. Many new university graduate hires began their careers at Bechtel as a student intern.
BDAC interns will utilize state of the art cloud infrastructure and Data Science tools to provide data-driven insights to challenges at a global scale. They will collect, transform, analyze and model data from across various data sources and present findings to internal stakeholders. There is a world of opportunities for people in BDAC at Bechtel.
The BDAC hires interns in the following areas: Big Data Analytics, Data Engineering, Cloud Systems Architecture, Data Visualization, and in other areas in support of our corporate data analytics needs. These areas all play an important role within our organization and are essential to generating value from our data assets and building repeatable, and robust models for achieving our company's business goals and objectives.
Each year, we hire numerous BDAC Interns. The total number of hires and start dates are subject to workload and business conditions. Locations will vary based on project needs, and may include Houston, TX, Glendale, AZ, and Reston, VA, along with various project sites.
General Job Duties:
Collecting and analyzing data
Cleaning data using data science techniques (e.g., detecting outliers, developing strategies for data imputation)
Transforming data and feature engineering
Developing supervised and unsupervised machine learning models
Evaluating the performance of machine learning models
Preparing visualizations and reports
Communicating findings to internal business stakeholders
Ingesting data from source systems into a cloud-based data environment
Basic Qualifications:
Currently enrolled in a four-year Bachelor of Science degree program in Computer Science, Information Technology, Computer Information Technology, Information Systems Management, Computer Engineering, or Software Engineering from an accredited college or university
Completed at least one year of undergraduate studies in one of the above fields
Possess the eligibility to work and remain in the U.S. without sponsorship
Preferred Qualifications:
Completed relevant coursework with a strong GPA
Prior co-op or internship experience
Programming knowledge of either Python, R, SQL, Scala, Amazon Web Services (AWS)
Excellent written and oral communication skills

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