Senior Analytics Scientist, AI-Driven Ads Ranking

Meta; Montpelier (VT); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Scientist in its Ranking AI organization within the Monetization group to advance and deploy state-of-the-art recommendation systems for Ads. You will partner with Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance to solve product challenges using data-driven insights.

You will influence product strategy, build hypotheses, and apply rigorous analytical methods to deliver measurable impact at scale, translating research to production with

Qualifications

• A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

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

Job description

Meta is seeking a Data Scientist in its Ranking AI organization within the Monetization group to advance and deploy state-of-the-art recommendation systems for Ads. You will partner with Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance to solve product challenges using data-driven insights.

You will influence product strategy, build hypotheses, and apply rigorous analytical methods to deliver measurable impact at scale, translating research to production with