WhatsApp is a fast, simple and reliable way to talk to anyone in the world. More than 1 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere. WhatsApp is not only free but also available on multiple mobile devices and in low connectivity areas — making it accessible and reliable wherever you are. It's a simple and secure way to share your favorite moments, send important information or catch up with a friend. WhatsApp helps people connect and share no matter where they are in the world.
WhatsApp is seeking a talented Data Scientist to join the WhatsApp Business and Analytics Team. If you are intellectually curious, love pouring over data to discover insights and piece together the stories its telling you, are committed to translating insights into action, want new challenges daily and impact the lives of hundreds of millions of users globally, this is the role for you!
This position is a generalist role and could involve analytics, modeling, business operations and/or partnerships among other things. You must have flexibility to adapt to changing priorities, business and organizational needs. In addition, you must have the ability to operate independently in a fast-paced, small but growing environment and work proactively with various teams across the organization, including engineering, product, business, customer support, human resources, finance and legal. This is a full-time position based with the WhatsApp team at Facebook HQ in Menlo Park, California and will report to WhatsApp's Head of Growth & Partnerships.
- 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
- 4+ years’ experience doing quantitative analysis.
- BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field.
- 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.
- 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).