Data Scientist: Instagram - Creator Monetization - Meta

Instagram's mission is to inspire creativity that brings people together. Creators are at the heart of this mission: we succeed if Instagram is a creator's first choice for building their home and sharing their creativity. As part of Meta's creator efforts, we are invested in building many different ways that creators can monetize across Facebook and Instagram. 'Engagement Bonuses' are one part of this complex ecosystem -- they reward creators for producing content that drives engagement on our platforms. How can such programs be win-win for creators, for Meta's business, and for users who want to see content from creators they love? That's a fascinating and challenging problem space, and one that no company has 'solved' in a sustainable way. We're looking for an experienced DS to act as a technical lead for Instagram's efforts in this area. They would partner closely with peers across Instagram and Facebook, and would need to blend deep empathy for the creator experience, understanding of how the Instagram ecosystem works, and sophistication in pricing and ranking systems, in order to help us find ways to improve such programs's overall ROI and utility to creators.

RESPONSIBILITIES

Data Scientist: Instagram - Creator Monetization Responsibilities:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

MINIMUM QUALIFICATIONS

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• A minimum of 7 years of work experience in analytics.
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

PREFERRED QUALIFICATIONS

Preferred Qualifications:

• Experience thinking about multi-sided marketplaces.
• Experience working on monetization.
• Economics training.