Cisco Data Scientist Intern United States 

United States, California, San Jose 

774828262

Applications are accepted until further notice.

Please note this posting is to advertise potential job opportunities.This exact role may not be open today but could open in the near future.

Work With

Work on massive structured, unstructured,

• , clean and structure data from various sources andmaintaindatabases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets
• Develop, prototype and test predictive algorithms
• Filter and "clean" data, and review computer reports, printouts, and performance indicators tolocateand correct code problems
• Develop and implement data collection systems and other strategies thatoptimizestatistical efficiency and data quality
• Interpret data, analyze results using statistical techniques and provide ongoing reports

Who You Are

You are a methodical problem-solver, adept at navigating the full spectrum of data science challenges from

Minimum Qualifications

• Including but not limited to an upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community College or 4-Year University.
• Recently completed or actively enrolled in aBachelor’s or Master’sdegree program in Engineering, Computer Science, Data Science, Statistics or a related field or other academic certification
• Experience with data science tools and techniques, including data manipulation (SQL, Hadoop, etc.)
• Experience with programming (R, Python, XML, JavaScript, or ETL) frameworks
• Knowledge of and experience with reporting packages (Business Objects etc.).
• Use of statistical packages for analyzing large datasets (Excel, SPSS, SAS etc.).
• Technical knowledgeregardingdata models, database design development, data mining and segmentation techniques
• Proficient in queries, report writing and presenting findings
• Able to legally live and work in the country for whichyou’reapplying, without visa support or sponsorship

Preferred Qualifications

• Experience with Oracle databases is desirable.
• Familiarity with advanced machine learning techniques, neural networks, and deep learning frameworks like TensorFlow or PyTorch
• Expertisein analyzing time-series data and forecasting
• Familiarity with software development methodologies
• Strong presentation and storytelling skills to effectively communicate findings to technical and non-technical audiences

“old” (40 years strong) and only about hardware, but

But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)