Job summary
Job overview
This job is for a Data Science Director at Meta, focusing on driving data-informed decisions and leading a team to build future platforms.
Responsibilities and impact
Responsibilities include leading a distributed team of data scientists, applying quantitative analysis for product strategies, and communicating insights to influence product development.
Compensation and benefits
The salary range is $253,000 to $314,000 per year, plus bonuses, equity, and additional benefits.
Experience and skills
Candidates should have over 10 years of experience managing analytics teams and influencing strategy, with strong communication skills and a collaborative approach.
Work environment and culture
Meta emphasizes innovation and collaboration, aiming to build technologies that enhance connectivity and immersive experiences.
Company information
Meta, founded in 2004 with the launch of Facebook, focuses on connecting people and evolving toward augmented and virtual reality technologies.
Company overview
Meta, formerly known as Facebook, is a leading technology company specializing in social media, virtual reality, and digital advertising. They generate revenue primarily through advertising on platforms like Facebook, Instagram, and WhatsApp, leveraging user data to offer targeted ads. Founded by Mark Zuckerberg in 2004, the company rebranded to Meta in 2021 to reflect its focus on building the metaverse, a virtual shared space. Key historical moments include the acquisition of Instagram in 2012 and WhatsApp in 2014, significantly expanding their user base and market influence.
How to land this job
Tailor your resume to highlight your extensive experience in leading analytics teams, emphasizing your ability to inspire and grow high-performing teams across diverse locations, which aligns with Meta's focus on people leadership.
Showcase your expertise in quantitative analysis and data-driven decision-making, particularly in how you've applied these skills to influence product development and business strategies, as this is a key requirement for the role.
Apply through multiple platforms, including Meta's corporate site and LinkedIn, to maximize your chances of being noticed for this significant position.
Network with professionals in Meta's data science division on LinkedIn to gain insights into the role, and consider ice breakers such as discussing recent innovations in data analytics or expressing admiration for Meta's commitment to building the future of social technology.
Optimize your resume for ATS systems by incorporating specific keywords from the job description, such as 'data-informed strategies', 'analytics leadership', and 'cross-functional collaboration', to ensure your application is easily identifiable by recruiters.
Utilize Jennie Johnson's Power Apply feature, which can streamline your application process by tailoring your resume, identifying optimal application channels, and connecting you with relevant professionals, allowing you to focus on strategic aspects of your job search.
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