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Senior Data Scientist, Strategy & Insights

Linkedin3·Worldwide·Sunnyvale, US·senior
data science
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LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.​ Join us to transform the way the world works. 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 turns member and customer behavior into product decisions across one of the world's largest professional networks. We design experiments, investigate metric movements, and partner with PM and Engineering to ship features that create real economic opportunity for members, including the next generation of AI-powered experiences. We're hiring a Senior data scientist to own ambiguous, high-impact problems end-to-end. You’ll use your strong statistical intuition and well-honed data science tool kit to answer open-ended problems like defining long-term retention or marketplace value. You’ll define the metrics that guide product strategy, dive deep into marketplaces and evaluate AI-native features as they ship. You'll work closely with engineers and PMs to translate findings into roadmap decisions. Responsibilities Designs and performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop ecosystem understanding, and monitor current products or systems. Evaluates A/B and causal tooling for discernable gaps and poten

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