Return to Work - Data Scientist, Product

Facebook | Menlo Park, CA, United States

Posted Date 9/16/2021
Description

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 Data Scientist to drive strategic analysis, identify opportunities that improve user experiences and directly shape the future of what we build at WhatsApp. The ideal candidate will be passionate about WhatsApp, have strong analytical and modeling aptitude and has experience using data to drive product strategy. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.

This position is full-time and has a 16-week duration beginning in 2021. All candidates should be able to commit to a consecutive 16-week timeframe for successful completion of the program. At the end of the term, those who have demonstrated their abilities to succeed and make an impact at Facebook will be considered for a full-time and permanent position. Candidates are encouraged to apply early!

This program is open to all candidates who have been out of the workforce for 2 years or longer immediately prior to the start of this program.


 

Return to Work - Data Scientist, Product Responsibilities

  • 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 both our consumer and 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:
  • Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics.
  • Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems.
  • Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams.
  • Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.

Minimum Qualifications

  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field.
  • 2+ years experience doing quantitative analysis within a large-scale company or fast-paced environment.
  • Experience in SQL or other programming languages.
  • Development experience in any scripting language (PHP, Python, Perl, etc.).
  • Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product.
  • Knowledge of statistics (e.g. hypothesis testing, regressions).
  • Experience manipulating data sets through statistical software (e.g. R, SAS) or other methods.

Preferred Qualifications

  • Masters or other advanced degree.
  • Experience with distributed computing (Hive/Hadoop).
  • Experience working within the tech sector.

About the Facebook company

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.

Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to accommodations-ext@fb.com.

Type (check all that apply)
Full-Time

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