Remote Product Analytics Data Scientist – UK and Beyond | Data Science & Analytics

Meta

London, United Kingdom Full-time in I.T. & Communications
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    • Job ID 2779647

    Job Description

    Location: Dublin, Ireland & London, UK — Full-Time

    Join Meta as a Data Scientist and be at the forefront of innovation, directly influencing the development of groundbreaking applications across our extensive suite of products, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. Leverage your analytical expertise and technical abilities to navigate one of the world’s richest datasets, playing a pivotal role in shaping experiences for billions of users and millions of businesses globally. Collaborate with a diverse team that spans Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and more, as you tackle some of the most significant challenges in product development.

    Your role will involve using data-driven insights to inform product strategy and investment choices, ensuring your work has a meaningful impact. At Meta, you’ll become an integral part of a thriving analytics community focused on skill enhancement and professional development within the analytics realm and beyond.

    Key Responsibilities:

    • Identify and define new avenues for product impact, driving discussions on product and sales strategies that address high-priority market challenges.
    • Utilize your quantitative analysis prowess to delve beyond the numbers, gaining a deeper understanding of user interactions with our growth products.
    • Collaborate with product teams to address challenges and uncover insights related to trends and opportunities.
    • Guide and influence product decisions and launches in partnership with cross-functional teams, including Product and Engineering.
    • Establish KPIs and objectives, design and assess experiments, monitor crucial product metrics, and explore the underlying reasons behind metric variations.
    • Conduct exploratory analyses to uncover new opportunities by examining ecosystems, user behaviors, and enduring trends, pinpointing key levers to influence vital metrics.

    Minimum Qualifications:

    • Bachelor’s degree in Mathematics, Statistics, a relevant technical discipline, or equivalent experience.
    • At least 4 years of hands-on experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
    • A minimum of 4 years of experience in solving analytical challenges using quantitative methods, understanding ecosystems and user behaviors, and successfully leading data-driven projects from conception to execution.

    Preferred Qualifications:

    • Master’s or Ph.D. in a quantitative field.

    About Meta:

    Meta is dedicated to creating technologies that foster connections, cultivate communities, and expand business opportunities. Our journey began with Facebook in 2004, revolutionizing how people connect. With applications like Messenger, Instagram, and WhatsApp, we empower billions of users globally. Now, as we transcend traditional 2D screens through immersive technologies like augmented and virtual reality, we are ushering in a new era of social interaction. By choosing to advance your career with Meta, you’ll be shaping the future of connected experiences that surpass the limitations of current technology.

    Meta is proud to uphold equal employment opportunities. We do not discriminate based on race, religion, ethnicity, gender, sexual orientation, gender identity, age, veteran status, disability, genetic information, political views, or any other legally protected characteristics. You can view our Equal Employment Opportunity notice here.

    We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout our hiring process. If you require assistance or accommodations due to a disability, please fill out the Accommodations request form.

    Take the first step toward a fulfilling career at Meta by exploring job opportunities that align with your skills and experience. Search for openings by technology, team, or location to find your perfect fit.

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