www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Data Science Intern
Institution: Hewlett Packard Labs
Location: Palo Alto, California, United States
Duties: You will design, develop, and apply programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. You will utilize your data visualization techniques knowledge to translate analytic insights into understandable business stories (e.g., descriptive, inferential, and predictive insights)
Requirements: Working towards a Bachelor’s/Master’s degree with a focus in computer science, data science, statistics, mathematics, or relevant area; Basic knowledge of data science methodologies; Have a working proficiency in effective use of analytics software (e.g., R, SAS, SPSS, Python, Cplex) and data programming languages; You are fully comfortable working in a hybrid (virtual and face-to-face) environment
   
Text: Data Science Intern You will design, develop, and apply programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. You will utilize your data visualization techniques knowledge to translate analytic insights into understandable business stories (e.g., descriptive, inferential, and predictive insights) Working towards a Bachelor’s/Master’s degree with a focus in computer science, data science, statistics, mathematics, or relevant area; Basic knowledge of data science methodologies; Have a working proficiency in effective use of analytics software (e.g., R, SAS, SPSS, Python, Cplex) and data programming languages; You are fully comfortable working in a hybrid (virtual and face-to-face) environment
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.