About the job
Data Scientist Intern – Summer 2021
Ever dream of mining gold from big data? The LinkedIn Analytics team is looking for data junkies who love turning data into gold and who want to make an impact. You will work closely with our business partners in product, marketing and sales to mine insights from big data, and to impact business decisions. LinkedIn’s reputable internship program is known for plentiful activities. Join us this summer!
• Analyze, mash-up, and mine massive amounts of data to extract useful business insights;
• Work closely with data analytics staff and our business partners to analyze product performance and member engagement data to drive informed decisions;
• Utilize data engineering tools to process big data in a scalable and automated fashion;
• Design and build business KPI dashboards and data visualizations;
• Develop presentation story and slides based on the analysis;
• This is a full-time internship role based in Sunnyvale, CA, or San Francisco, CA
• This internship will take place during Summer 2021
Currently pursuing a B.A./B.S. Degree or higher in a quantitative discipline: statistics, applied mathematics, operations research, computer science, management of information systems, engineering, economics or equivalent and returning to the program after the completion of the internship
Experience with SQL or other relational databases.
Experience in at least one programming language (eg. R, Python, Hive, Java, Ruby, Scala/Spark or Perl etc)
Expected to complete degree by December 2022 or earlier
Experience with data visualization tools (eg. Tableau, BI dashboarding, R visualization packages, etc.)
Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. Advance R package, SAS, SPSS)
Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig and Hive;
Ability to communicate findings clearly to both technical and non-technical audiences;
Knowledge of Unix and Unix-like systems, git and review board.
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