As a information Scientist at Meta, you may shape the destiny of humans–dealing with and commercial enterprise–facing products we build throughout our entire family of applications (fb, Instagram, Messenger, WhatsApp, Oculus). via applying your technical capabilities, analytical attitude, and product intuition to one of the richest facts sets within the global, you may assist outline the experiences we construct for billions of humans and hundreds of thousands and thousands of businesses round the sector. you may collaborate on a big range of product and enterprise problems with a wide–range of move–purposeful companions throughout Product, Engineering, research, records Engineering, advertising and marketing, income, Finance and others. you may use statistics and evaluation to pick out and resolve product improvement‘s biggest challenges. you’ll influence product strategy and investment decisions with facts, be centered on effect, and collaborate with different groups. via joining Meta, you will become part of a world–elegance analytics network dedicated to ability improvement and profession growth in analytics and beyond.Product management: you’ll use records to shape product development, quantify new opportunities, identify upcoming demanding situations, and ensure the products we construct carry value to human beings, companies, and Meta. you may help your associate teams prioritize what to construct, set dreams, and recognize their product’s atmosphere.Analytics: you’ll manual groups using information and insights. you may cognizance on growing hypotheses and employ a various toolkit of rigorous analytical techniques, distinctive methodologies, frameworks, and technical approaches to check them.communication and influence: You won’t honestly gift facts, but inform facts–pushed memories. you will persuade and have an impact on your partners the use of clear insights and pointers. you may construct credibility thru shape and clarity, and be a relied on strategic associate.
Required capabilities:
facts Scientist, Product Analytics obligations:
paintings with big and complicated records sets to resolve a big range of tough problems the use of different analytical and statistical procedures
follow technical expertise with quantitative analysis, experimentation, information mining, and the presentation of information to expand techniques for our merchandise that serve billions of people and hundreds of tens of millions of groups
perceive and degree success of product efforts thru goal placing, forecasting, and monitoring of key product metrics to understand traits
define, understand, and check possibilities and levers to enhance the product, and power roadmaps through your insights and recommendations
associate with Product, Engineering, and cross–practical groups to inform, affect, aid, and execute product strategy and funding decisions
minimum qualifications:
minimum qualifications:
Bachelor’s degree in pc technology, computer Engineering, relevant technical area, or equal realistic enjoy
at the very least 6 years of work experience in analytics (minimal of 4 years with a Ph.D.)
Bachelor’s degree in mathematics, information, a applicable technical subject, or equivalent practical enjoy
experience with information querying languages (e.g. sq.), scripting languages (e.g. Python), and/or statistical/mathematical software program (e.g. R)
desired qualifications:
preferred qualifications:
master‘s or Ph.D. diploma in a quantitative area
