WhatsApp
Data Science Manager - WhatsApp
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WhatsApp
London, UK
WhatsApp Data Science is looking for an experienced manager to lead our Core Consumer team in London. The team's mission is to build the best place for private conversations, ensuring WhatsApp is a place where people love to communicate with each other. This manager will support the Cross Platform Experiences and the Sharing pillars: Cross Platform Experiences:
Aims to make time spent on WhatsApp meaningful across all devices, with delightful experiences powered by consistent and scalable design systems. Sharing team:
Aims to empower the world to express themselves and share moments through rich media, like photos, videos, stickers, gifs and other forms of communication people use to express themselves. Data Science Manager - WhatsApp Responsibilities Influence the product strategy and identify opportunities for growth and engagement, partnering with a large cross-functional team to deliver long-term impact. Get into the product details, while also zooming out to understand the bigger picture of how these products contribute to the overall WhatsApp experience. Up-level the team's work by communicating clearly and concisely with a diverse range of stakeholders. Help the Data Science team identify the most important priorities to invest in and create space for them to go after them. Scale processes with engineering and data engineering. Understand experimentation best practices and coach the team as needed to ensure reliable learnings. Partner with different organizations across WhatsApp and Meta. Minimum Qualifications Experienced DS manager with a track-record of leading analytically complex areas and contributing to product strategy. BA/BS in Math, Statistics, Economics, Computer Science, Physics, or other quantitative fields. 5+ years of experience in analytics. Experience communicating with business leaders and cross-functional stakeholders. Experience with SQL (Oracle, Vertica, Hive, MySQL, etc.). Experience with statistical analysis and stat packages such as R, MATLAB, SPSS, SAS, Stata, etc. Experience in managing multiple projects and deadlines. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today - beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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Data Science Manager - WhatsApp
Apply to this job
London, UK
WhatsApp Data Science is looking for an experienced manager to lead our Core Consumer team in London. The team's mission is to build the best place for private conversations, ensuring WhatsApp is a place where people love to communicate with each other. This manager will support the Cross Platform Experiences and the Sharing pillars: Cross Platform Experiences:
Aims to make time spent on WhatsApp meaningful across all devices, with delightful experiences powered by consistent and scalable design systems. Sharing team:
Aims to empower the world to express themselves and share moments through rich media, like photos, videos, stickers, gifs and other forms of communication people use to express themselves. Data Science Manager - WhatsApp Responsibilities Influence the product strategy and identify opportunities for growth and engagement, partnering with a large cross-functional team to deliver long-term impact. Get into the product details, while also zooming out to understand the bigger picture of how these products contribute to the overall WhatsApp experience. Up-level the team's work by communicating clearly and concisely with a diverse range of stakeholders. Help the Data Science team identify the most important priorities to invest in and create space for them to go after them. Scale processes with engineering and data engineering. Understand experimentation best practices and coach the team as needed to ensure reliable learnings. Partner with different organizations across WhatsApp and Meta. Minimum Qualifications Experienced DS manager with a track-record of leading analytically complex areas and contributing to product strategy. BA/BS in Math, Statistics, Economics, Computer Science, Physics, or other quantitative fields. 5+ years of experience in analytics. Experience communicating with business leaders and cross-functional stakeholders. Experience with SQL (Oracle, Vertica, Hive, MySQL, etc.). Experience with statistical analysis and stat packages such as R, MATLAB, SPSS, SAS, Stata, etc. Experience in managing multiple projects and deadlines. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today - beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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