Senior Manager, Data Science - PSM

LinkedIn is seeking a Senior Manager of Data Science for their Product Service & Marketplaces (PSM) team, focusing on LinkedIn Ads and Sales Solutions. This role offers a unique opportunity to lead data science initiatives at one of the world's largest professional networks, with over one billion members globally.

The position is based in Sunnyvale, CA, with a hybrid work arrangement, offering flexibility while maintaining team collaboration and culture. As the Senior Manager, you'll lead a team of data scientists working on critical initiatives across marketing, sales, pricing, and customer success processes.

Your role will involve building data foundations, applying statistical techniques like A/B testing and LTV estimation, and implementing machine learning solutions to optimize PSM processes. You'll work closely with cross-functional teams including product, engineering, AI, design, and user research to deliver impactful insights and solutions.

The ideal candidate will combine technical expertise with strong leadership skills, demonstrating the ability to inspire and empower team members rather than relying on command-and-control management. You'll be responsible for developing talent, setting clear expectations, and fostering a technology-driven culture.

Key responsibilities include defining strategic vision, partnering with executive teams, building cross-organizational collaboration, and serving as an industry thought leader. The role requires a blend of technical acumen, product sense, and business savvy, with a focus on creative storytelling and actionable recommendations.

The position offers competitive compensation ($162,000-$267,000/year) plus comprehensive benefits including health coverage, equity, and performance bonuses. This is an excellent opportunity for an experienced data science leader to make a significant impact at scale while working with cutting-edge technologies and talented professionals.

Requirements include a BS or higher in a quantitative field, 7+ years of relevant experience, and 2+ years of team management experience. The ideal candidate will have strong statistical skills, experience with data visualization, and expertise in product or marketing analytics.