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Datascience InternBookmark This
141 10th Street
San Francisco, CA
Posted: October 14 2016
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DescriptionRiviera Partners is a global recruiting firm specializing in the technology industry. The company provides clients with optimal placements by combining recruiter interactions and experience with data-driven findings about candidates.
Riviera has created a unique approach for recruiting services that combines recruiters’ insight with its proprietary data system, the Riviera Index, to predict the best candidate match for its clients. The Index includes curated data (recruiter assessments), analytics and a scoring system based on a specific set of objective metrics. This data ensures every Riviera recruiter has shared intelligence from the entire company and its extended network, versus just an individual’s perspective.
Recognized by venture capitalists, tech companies and the media as a top recruiting services firm in the Bay Area, Riviera provides the reach and relationships of a large search organization with the feel of a specialized, boutique provider. Industry veterans Michael A. Morell and Ali Behnam founded the firm in 2002. For more information, visit rivierapartners.com.
Are you passionate about product, analytics and technology? The Datascience and Analytics team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Candidates will help own analytics for a particular product or business at Facebook and work with product managers and engineers to translate the analysis into meaningful impact to the business.
Responsibilities-Pursuing a BS, MS or PhD degree in Computer Science, Applied Mathematics, Statistics, Operations Research, or related technical field from an academic institution
-Experience in solving analytical problems using quantitative approaches (or equivalent)
-Experience with SQL or other programming languages (Python, Java, and/or C++)
-Experience with statistical analysis, experience with packages such as R, MATLAB, Excel, etc. preferred
Requirements- Manual work and basic scripting for manual data collection
-Mine massive amounts and perform large-scale data analysis to extract useful business insights
-Work closely with a Business Analysts, and the Engineering team to proactively create rule and manage decisions
-Prioritize leads so that the teams work on the most valuable cases
- Suggest improvements in the tools and techniques to help scale the team