The Instagram Well-Being organization is working on ensuring that Instagram is a positive force in people’s life, the most important job we have over the next few years at Instagram. We want to make sure that people feel safe and supported when connecting with the people and things they love, and that people feel the freedom to express themselves on the platform. A core part of delivering on that, is making sure that people are safe from harm when they use Instagram, feel supported by Instagram when they need it, and are enabled to support each other and their communities. This includes ensuring that people are not exposed to harmful content or accounts, user interactions on the platform are safe, user accounts and data are secure and that civic expression on Instagram is authentic and safe from foreign interference. To do this, we build large-scale complex systems, state-of-the-art Machine Learning, and operate an infrastructure to enable detection, classification, and remediation of content, behaviors, and bad actors that contribute to bad experiences for our community. At the heart of the Instagram Well-being organization is the data science team whose empirical studies and rigorous analyses shape the direction of Well-being product development, striving to protect Instagram users and their data and enables seamless development of safe and supportive products. We're looking for Data Scientists to support the Instagram Well-being foundation team, that focuses on solving user problems through improved risk assessment and classification of complex entities, discoverability, transparency and recommendability as well as building the best tooling and platform solutions to keep users safe and supported. We are looking for hands-on problem solvers with strong communication skills and ability to influence and drive outcomes. You will work in close partnership with a top-notch group of researchers and data scientists across Facebook, Inc. to translate user research and guidance from technical experts into data-driven product strategies. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your strategic thinking and ideas turned into real products on a regular basis. You should be flexible and comfortable working in a cross-functional capacity within a fast-paced, multidisciplinary environment. Additionally, we’re looking for individuals who are truly passionate and have demonstrated success in developing and implementing strategies that address behavioral and contextual user needs.
Responsibilities
- Drive strategic organization wide data science initiatives and serve as tech lead on critical data science projects within the Well-being’s Foundations pillar.
- Be a strategic partner for Well-being in identifying high impact analytical problems and find innovative ways to tackle these problems via data analysis, experimentation, and statistical modeling.
- Evolve our measurement strategy by identifying novel metrics and measurement approaches to guide product strategy, goaling and experiments.
- Provide technical and product mentorship to members of Well-being data science to ensure continual up-leveling of our expertise.
- Drive or partner to execute on high priority learning/measurement initiatives for Well-being, Instagram, and Facebook.
- Establish strong trusted relationships with the data science and product communities of Instagram and Facebook.
Minimum Qualifications
- Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role.
- Experience leading and personally executing cross-functional data science projects with measurable organizational and product impact.
- Demonstrated an extensive track record of great judgement in balancing practical business needs and scientific rigor.
- Programming skills: Expert knowledge of SQL, Python, R.
- Communication skills and experience connecting with and influencing a broad spectrum of audiences.
- Practical, hands-on experience with a wide variety of statistical inference and modeling methods, specifically around A/B experiments and their design, missing data, survey sampling, and/or panel data.
Preferred Qualifications
- 7+ years of experience working in an analytics organization
- Ph.D. in Engineering, Mathematics, Statistics, Economics, or similar quantitative discipline
- Experience mitigating integrity issues and improving users’ Well-being on online social platforms
