Interviews for the position below will be conducted pursuant to our participation in the AfroTech World 2020. To be considered, applicants must confirm their registration for the AfroTech World 2020
If you are interested in a Data Scientist Intern role at LinkedIn but are not registered for the above event, please apply to: https://www.linkedin.com/jobs/view/2185778500/
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.
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn’s legal duty to furnish information.
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As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
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