Senior Associate, Decision Science

This Senior Data Scientist leads modeling research for measurement capabilities across impact.com's partnership marketing ecosystem, focusing on attribution, identity resolution, and tracking quality. The role involves designing incrementality experiments, owning pipelines for end-to-end measurement, and serving as the technical counterpart for external identity and measurement partners. Requires 5+ years of experience with production-grade pipeline building, A/B testing, and fluency in Python/SQL, with nice-to-have experience in graph databases and privacy-preserving identity techniques.

The Senior Data Scientist will lead data science initiatives, developing models and algorithms to solve complex business problems. This role requires expertise in machine learning and statistical analysis.

This role ensures the integrity, flow, and visualization of marketing data through technical implementation of measurement architectures and process automation. The Senior Associate will execute technical measurement plans, maintain ETL data flows, and develop comprehensive dashboards for multichannel performance comparison. They will process large volumes of data to identify trends and optimization opportunities.

This AI Engineer designs, implements, and deploys production-ready AI solutions for intelligent automation, focusing on building modular, scalable agentic applications using open-source and proprietary large language models. The role involves hands-on implementation with LangChain, developing reusable components, data pipelines, retrieval capabilities, and performance optimization strategies while partnering with business, product, data, and technology teams.

This role leads the design, deployment, and optimization of data center infrastructure supporting LinkedIn's global operations. It requires deep expertise in hardware, networking, and large-scale systems to ensure high performance and reliability.

This role leads security initiatives to protect LinkedIn's infrastructure and data. It requires expertise in security architecture, threat modeling, and incident response to safeguard against evolving threats.

This role supports the deployment and maintenance of data center infrastructure at LinkedIn, requiring hands-on technical skills to troubleshoot hardware and network issues. The associate engineer will assist in ensuring the reliability and performance of data center operations.