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| Data Science Intern (BS / MS) – Intern |
| Job Type: Internship Location: Spring, TX |
| Responsibilities • Use data visualization, statistical analysis, pattern recognition, and machine learning – along with domain knowledge and subject-specific models – to solve science, engineering, and commercial problems • Data extraction/transformation/loading, data filtering and quality control, exploratory data analysis, feature engineering and visualization. Ability to work with both structured and unstructured data • Analyze results and develop technical reports and presentations Qualifications • Currently pursuing a MS (exceptional BS candidates will be considered) in one of the following disciplines: Engineering/Sciences, Mathematics, Statistics or Computer Science with experience in data analytics. • Experience in Python, Scala, Java, C, C++ or R is requiredThe following experiences are all considered an advantage, but not required: • Using one or more of the following software packages: scikit-learn, numpy, pandas, jupyter, matplotlib, scipy, nltk, spacy, keras, tensorflow • Solving problems using techniques including Regression, Support Vector Machines, Decision trees, random forest, Boosting, PCA, KMeans • Using SQL/No SQL databases is an advantage • Working in Linux and in a High Performance Computing environment |
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| Intern: Software Data Engineer |
| Job Type: Internship Location: Westford, MA or Sunnyvale, CA |
| Responsibilities • The Date Engineer Intern focused on Big Data and Analytics will assist on one or more projects related to the development and management of the DEA data platform. This involves collaborating with the Application architects and business SMEs to understand the business needs and delivering with right technology solutions. The intern will partner with the DEA Development team (Sunnyvale and Bangalore) as well as 3rdparty technology partners. Qualifications • Bachelor’s Degree in Computer Science/Engineering In pursuit of a Masters in either Customer Science, Data Science, Computer Engineering or related field • Strong grasp of algorithms and data structures, database systems and Hadoop • Strong experience architecting and developing data applications, particularly rule based systems, using Java and Python • Understanding of predictive modeling/machine learning/ data mining concepts • Ability to learn new analytical methods and apply in practical business problems • Strong analytical and quantitative ability • Strong experience developing web application and web services, UX experience preferred • Familiarity with test driven code development and SCM tools such as Git • Familiarity with Big Data based platforms, specifically Snowflake and/or Hadoop • Familiarity with cloud infrastructure such as AWS, Azure and Google • Experience with SQL • Experience with scripting languages such as Python, JavaScript and R • Strong communication and presentation skill • Data Science course works and /or work experience in Data Science |
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| Intern Information Technology |
| Job Type: Internship Location: Lakeland, FL |
| Responsibilities • IT positions range from highly technical to more business-focused, including but not limited to the following: Application Development Business Analyst Computer Engineering Computer Science Customer Technology Consultant Database Administration Data Science Development Information Security IT Architecture Project Management Software Engineering Supply Chain System Administration Systems Support Technical Analysis Qualifications • Solid foundation in computing • Knowledge and/or experience with one or more of the following: Java/J2EE & related frameworks, JMS, JavaScript, HTML5, .Net, C, C++, C#, Oracle, SharePoint, Weblogic, JBOSS, JDBC, subversion, and/or Query • Languages such as PL/SQL. • Knowledge and/or experience with one of the following: system administration, systems applications, systems architecture, database administration, and technical requirements analysis. • Familiarity with Unix, Linux or Windows administration and scripting. • Familiarity with designing and evaluating IT solutions. • Hardware and software technical background. • Experience in IT or Information Security. • Strong analytical and communication skills, including technical writing. • Basic understanding of business principles and project management. • Strong attention to detail and ability to complete large volumes of work efficiently and effectively |
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