Staff Software Engineer, Data at LinkedIn3

This role will be based in Sunnyvale.   At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.  LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work with the rest of data science team and other cross function partners to work on a wide list of projects from generalized tools, implementations of complex analyses, prototypes of new methodologies from our Applied Research partner team, or collaborations with other engineering teams to enhance products for Data Science specific needs.You will be responsible for guiding and building the applications that empower our Data Scientists. This is a unique opportunity to work end-to-end on 0 to 1 efforts as opposed to just incremental features of large established products.   Responsibilities: ● Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions. ● Establish efficient design and programming patterns for engineers as well as for non-technical partners. ● Build dataweb applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently. ● Lead the architecture and design of both front-end and back-end for novel data applications. ● Own the application development for one or more of our internal products and collaborate with other engineers, data scientists, and product managers to launch new products, iterate on existing features, and build a world-class user experience. Proactively leverage AI tools to improve team productivity. ● Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms. ● Contribute to engineering innovations that fuel LinkedIn’s vision and mission.