Staff Data Scientist (Decision Scientist) at LinkedIn3

LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions. About the team - The Trust Data Science team at LinkedIn works in close partnership with the trust engineering, content moderator  and product teams to identify opportunities to develop and enhance LinkedIn member experiences. A few examples include: enabling our trust & security team (content reviewers) to be effective through data driven insights and minimize damage to our members, optimize member account access experience while defending attacks, provide insights to improve feed content quality on site, analyze trust/security features’ performance through product A/B testing, etc. You will have the opportunity to work with and lead highly passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph. 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. Responsibilities: • We inform product strategy, influence the product roadmap, and guide product decisions by • Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations. • Formulating success metrics for completely novel products and creating dashboards/reports to monitor them. • Designing and analyzing experiments to test new product ideas. • Developing models and data-driven solutions that add material lift to principal performance metrics.