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Data Scientist, Analytics (WhatsApp)

Company Name: Facebook
Location: Menlo Park, California
Date Posted: 08th May, 2017


  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core/business products

  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities

  • Inform, influence, support, and execute our product decisions and product launches.

  • The Data Scientist Analytics role has work across the following four areas:

  • Data Infrastructure
    • Working in hadoop and hive primarily, sometimes mysql, oracle, and vertica

    • Authoring pipelines via SQL and python based ETL framework

    • Building key data sets to empower operational and exploratory analysis

    • Automating analyses

  • Product Operations
    • Setting goals

    • Designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics

    • Building and analyzing dashboards and reports

  • Exploratory Analysis
    • Proposing what to build in the next roadmap

    • Understanding ecosystems, user behaviors, and long-term trends

    • Identifying levers to help move key metrics

    • Evaluating and defining metrics

    • Building models of user behaviors for analysis or to power production systems

  • Product Leadership
    • Influencing product teams through presentation of work

    • Communicating of state of business, experiment results, etc to product teams

    • Spreading best practices to analytics and product teams


Minimum Qualifications

  • 4+ years’ experience doing quantitative analysis.

  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees preferred.

  • Experience in SQL or other programming languages.

  • Development experience in at least one scripting language (PHP, Python, Perl, etc.).

  • Ability to initiate and drive projects to completion with minimal guidance

  • Ability to communicate the results of analyses in a clear and effective manner

  • Basic understanding of statistical analysis.

  • Experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.

  • Experience with an Internet-based company.

  • Experience with data sets and distributed computing (Hive/Hadoop).