Data Science Manager, WhatsApp AI Job at WhatsApp, Menlo Park, CA

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  • WhatsApp
  • Menlo Park, CA

Job Description

Data Science Manager, WhatsApp AI

Menlo Park, California, US

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

WhatsApp Data Science is looking for an experienced manager to lead our AI DS team, to deeply understand trends with the industry and AI features on WhatsApp, shape the strategy to establish Product/Market fit with new and evolving AI consumer use cases, establish data foundations and processes to increase our product pipeline velocity, identify opportunities to drive growth of AI features, and execute on projects by partnering with a large cross-functional team to deliver long-term impact, in an area with high interest from Meta leadership. WhatsApp AI is a large organization charged with accelerating the adoption of consumer AI features at Whatsapp. The innovation in this broad space is rapid - AI agents, chat-assistive features or new ways to use AI with media - and this organization is moves fast to build features not only at the cutting edge of AI, but to the scale of our 2.5B+ Whatsapp userbase. We are in the midst of advancing our approach to analytics and becoming an increasingly data-informed organization. We're looking for someone who can provide transformational leadership, institute new methodologies in this new space, and shape a healthy focus on data. You can be expected to jointly build the strategy for Whatsapp AI, shape the MVP and growth playbook for AI features, get into the weeds of adoption/retention tactics as well as zooming out to the big picture of the overall strategy and approach. You will regularly work with experienced product leaders at WhatsApp, and AI analytics leaders across Meta.

Responsibilities

  • Shape the strategic direction of our AI initiatives

  • Invest in data foundations and analytical methods to sharpen our understanding of growth levers

  • Hire & support the DS team in an ambiguous and fast paced environment

  • Partner with a cross-functional team to achieve our ambitious long-term goals

  • Monitor performance against Whatsapp's ambitious AI adoption and growth goals

  • Build extensive experimentation rigor across AI launches, and growth and optimization experiments

Minimum Qualification

  • BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience

  • A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including 2+ years of experience managing analytics teams

  • 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers

  • A minimum of 2 years of experience working on consumer facing products

  • Experience communicating both in low-level technical details as well as high-level strategies

  • Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering

  • Demonstrated executive communication skills, given the need to present to Leadership Executives at Whatsapp

Preferred Qualification

  • Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.

  • Proven track record of leading high-performing analytics teams.

  • 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space

  • Prior experience directly working on incubating and growing new features in consumer apps

WhatsApp гордится тем, что является работодателем, поддерживающим политику равных возможностей при трудоустройстве. Мы не допускаем дискриминации на основании расовой принадлежности, религии, цвета кожи, национального происхождения, пола (в т. ч. в связи с беременностью, родами, решениями в отношении репродуктивного здоровья или сопутствующими заболеваниями), сексуальной ориентации, гендерной идентичности, гендерного самовыражения, возраста, защищённого статуса ветерана, наличия инвалидности, генетических особенностей, политических взглядов или деятельности или других охраняемых законом характеристик. Вы можете ознакомиться с нашим уведомлением о равных возможностях трудоустройства здесь. Мы также рассматриваем квалифицированных кандидатов с криминальным прошлым в соответствии с действующим законодательством федерального, регионального и местного уровней. Мы можем использовать вашу информацию для обеспечения безопасности компании Facebook, её сотрудников и других лиц, если это предусмотрено или разрешено законодательством. Вы можете ознакомиться с уведомлениями компании Facebook Политика прозрачности оплаты и Равные возможности трудоустройства предусмотрены законом , перейдя по соответствующей ссылке. Кроме того, в некоторых странах в соответствии с требованиями законодательства WhatsApp участвует в программе E-Verify .

WhatsApp обязуется в процессе найма обеспечивать разумное приспособление для кандидатов с инвалидностью. Если вам в связи с имеющейся инвалидностью нужна какая-либо помощь или разумное приспособление, сообщите нам об этом по адресу [email protected] .

Job Tags

Work experience placement,

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