LinkedIn is seeking a Senior Software Engineer, Data Science to join their dynamic team. As part of the Data Science team, you'll leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools that drive member engagement, business growth, and monetization efforts. With over 800 million members globally, LinkedIn offers unique opportunities to make significant impact.
The role combines technical expertise with business acumen, requiring you to work closely with cross-functional teams including product, marketing, sales, engineering, and operations. You'll be responsible for developing infrastructure and delivering tools that enable data-driven decision-making across the organization.
Key aspects of the role include building and managing complex data systems, designing efficient data pipelines, establishing programming patterns, and ensuring best practices in the data ecosystem. You'll need to be both technically proficient and business-savvy, with the ability to understand analytical objectives and translate them into actionable insights.
The position offers a hybrid work environment, allowing flexibility to work both remotely and from LinkedIn offices. You'll be part of a culture that values collaboration, innovation, and professional growth. LinkedIn's commitment to creating economic opportunity for every member of the global workforce means your work will have meaningful impact at scale.
This is an excellent opportunity for a data professional who wants to work with cutting-edge technology, handle massive datasets, and contribute to products that shape the future of professional networking. The role offers the chance to work with a talented team while developing solutions that directly impact LinkedIn's 800+ million members worldwide.