Senior Lead Data Scientist (Remote, US)

About this role

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter. This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. The Role Lumen is seeking a strategic and technically versatile Senior Lead Data Scientist to lead advanced analytics, AI-driven innovation, and decision intelligence initiatives across the Product organization. This role will serve as a bridge between traditional analytics, modern data science, and emerging AI technologies, transforming complex data into actionable insights, predictive models, and intelligent solutions that improve business outcomes. The ideal candidate combines deep analytical expertise with practical experience developing quantitative analytics models, automating workflows, and leveraging AI platforms to solve real-world business challenges. As the business continues to evolve, this individual will play a key role in defining new performance measurements, developing next-generation KPI frameworks, and enabling data-driven decision making through a combination of code-based and no-code solutions. This is a highly visible individual contributor role requiring strong business acumen, technical depth, and cross-functional leadership. Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main Responsibilities Lead Strategic Analytics: Partner with Product, Finance, Engineering, and Executive leaders to identify opportunities for advanced analytics, AI, and data-driven decision making. Develop KPI & Measurement Frameworks: Define and evolve performance metrics that measure business value, operational efficiency, customer outcomes, and product success. Drive Advanced Analytics: Build predictive models, forecasts, segmentation strategies, and optimization frameworks to uncover insights, risks, and growth opportunities. Enable AI & Automation: Evaluate and implement AI-powered solutions, intelligent workflows, and automation capabilities that improve productivity and decision quality. Champion Innovation & Experimentation: Lead proof-of-concepts and rapid testing of emerging technologies to validate business impact and accelerate adoption. Deliver Data-Driven Insights: Translate complex analyses into actionable recommendations, dashboards, and executive-level narratives. Automate Reporting & Processes: Design scalable analytics solutions, automated reporting, and workflow automation to improve efficiency and insight delivery. Leverage Modern Technology Platforms: Utilize Python, SQL, AI-assisted development tools, Power Platform, and low-code/no-code solutions to accelerate outcomes. Collaborate Across Functions: Work closely with Product, Engineering, Finance, Sales, Customer Success, and Data teams to align on priorities, methodologies, and business objectives. Provide Thought Leadership: Promote analytics, AI literacy, experimentation, and data-driven decision making while mentoring stakeholders and team members on best practices. What We Look For in a Candidate Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field. 8+ years of experience in analytics, data science, business intelligence, or related disciplines. Demonstrated experience translating complex business challenges into analytical solutions and measurable outcomes. Ad

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