17 days old

Data Scientist, Analytics - Instagram

Menlo Park, California
  • Jobs Rated
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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.

As Messenger and Messenger Lite continues to expand to all corners of the world, having performant apps matters more than ever. The vast majority of our users access Messenger using old devices and unreliable networks, and bad performance leads to less engaged users and a poor user experience. In this role you will be working closely with the team responsible for making sure the Messenger app delivers the best possible performance across iOS, Android and Web platforms. Our team works cross-functionally with product and infrastructure teams across Messenger to improve app start time, scrolling performance as well as reduce crashes and minimize resources consumption. We’re looking for a thought leader in this space to help us frame up and prioritize all the performance investments that we’re making across the company. This position will directly engage with the CTO for the Messenger app and have the opportunity to directly shape our investments and roadmap for the next 3 years.Some key challenges we’re looking to solve in the next year include:How often do users have a “bad experience” while using the app? How can we quantify this and how does it affect engagement?What sectors of the population are the most sensitive to performance regressions and how should we adapt our strategy as a result?How should we prioritize our efforts across different users and performance metrics to deliver the best possible performing app?

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
    • 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 metrics
    • 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
    • Spreading best practices to analytics and product teams
  • Data Infrastructure
    • Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica
    • Automating analyses and authoring pipelines via SQL and python based ETL framework

Requirements

Minimum Qualification

  • 7+ 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 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 (ex. R, SAS) or other methods

Preferred Qualification

  • Advanced degrees
  • Experience with distributed computing (Hive/Hadoop)

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected]

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Jobs Rated Reports for Data Scientist

Posted: 2019-01-02 Expires: 2019-03-03

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