Senior Manager, Data Science (Anti-Abuse)

LinkedIn, the world's largest professional network, is seeking a Senior Manager of Data Science for their Trust Data Science team, focusing on Anti-abuse initiatives. This role is crucial in protecting LinkedIn's ecosystem through data-driven solutions targeting inauthentic accounts and behavioral abuse.

The position requires a leader who will work within the Trust team to create safe, trusted, professional experiences. The primary focus is on mitigating harm from fake accounts, account takeovers, and behavioral abuse such as scraping, automation, and fake engagement. This is identified as a top priority at Trust, with fundamental impact on LinkedIn's ecosystem security.

The ideal candidate will bring together technical expertise, product sense, and business acumen to drive impact through creative storytelling and actionable insights. They will work closely with cross-functional teams including product, engineering, AI, design, and operations to develop metrics, analyses, and solutions that protect member identity and social graph.

Leadership qualities are essential, as the role involves building a strong technology-driven culture and overseeing highly talented scientists and engineers. The position requires developing a strong talent bench across both people and technical leadership, while helping team members articulate data-first approaches to trust challenges.

Success in this role comes from an "inspire and empower" leadership style rather than "command and control." The role offers opportunities to shape product and business strategy through data-centric presentations and partner with senior leaders to drive strategic goals.

The position offers competitive compensation ($167,000-$267,000) and comprehensive benefits including health and wellness programs, equity, and annual performance bonuses. Located in Mountain View, CA, this role represents an opportunity to make a significant impact on the security and integrity of the world's largest professional network.

Candidates should have at least 3 years of relevant anti-abuse experience, along with either management experience or staff-level data science expertise. The role requires excellent communication skills, strong analytical capabilities, and the ability to translate complex technical concepts for various audiences.