Data Science Manager, Instagram Feed & Stories Relevance

Key Skills

SQL, Apache Hadoop, Data science techniques, A/B Testing, Apache Hive, R Programming, SAS, SPSS Statistics

Job Description

We're looking for analytics leaders to work on our core products with a passion for social media to help drive informed business decisions for Facebook. You will enjoy working with 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 technical field, will have experience working with large data stores, and will have some experience building software. 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. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, progression, and user engagement of a product. You have experience leading and growing a team of data scientists. You have a passion for mentoring members of your team to achieve strong results and continued engagement.

The perfect candidate will have experience building and managing world-class analytics teams, will have worked with large and complex data, and will have a track record of driving data-informed decisions.

This leader will oversee Data Science for the IG Feed & Stories Relevance within Sharing Experiences. The main areas of focus are: 1) the Feed product, end-to-end, with a focus on evolving it to be a surface to best catch up with your interests; and 2) the Relevance team that owns both connected and unconnected content ranking for Instagram across Feed and Stories. This is very horizontal role where success goes through deep and supportive partnerships with several teams across the company. Some of the questions you’ll be working on: How should we evolve feed to blend unconnected and connected content? How should we leverage our ranking systems to provide long term user value in both feed and stories? How do we keep users engaged while keeping them safe and prevent misinformation from spreading? Why join?

Ranking is the lifeblood of any social network, and Instagram will only be successful if we get ranking right. You will be working at the core of our product and influence decisions that will impact over a billion users on a given day, you will be working with world class ranking engineers and data scientists in a highly collaborative environment and massive opportunities for impact. Literally every time you open the app, this is the team that decides what to show you in both Feed and Stories. We’re committed to taking a harder look at how our product impacts communities differently and the changes we need to make to create a more equitable platform. This DS team works directly with Wellbeing to uncover algorithmic bias to driving product features that promote equality and equity.

Data Science Manager, Instagram Feed & Stories Relevance Responsibilities

• Maintain a high bar in terms of product thinking and analytical depth for your team through selective hiring and mentorship.
• Drive ranking strategy across all unconnected surfaces in IG.
• Set goals and metrics to guide and prioritize growth product roadmaps for Feed.
• Size opportunities to ensure product teams are working on the most impactful projects.
• Partner and heavily contribute to major analytical and product initiatives across the Facebook Family of Apps (Facebook, Instagram, WhatsApp, Messenger, etc.).
• Manage a team of high performing data scientists and help them execute along the most important priorities for the ranking team and Instagram as a whole.
• Work cross-functionally with engineers, researchers and product managers.

Minimum Qualifications

• 4+ years of experience in managing other team members in a formal or informal capacity
• 6+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages
• Experience initiating and drive projects to completion with minimal guidance
• Experience communicating and representing results of analysis to senior leadership
• 6+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
• 4+ years of experience communicating the results of analyses to leadership teams to influence the strategy

Preferred Qualifications

• Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
• Understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc.
• Experience with large data sets and distributed computing (Hive/Hadoop).