Note: The job is a remote job and is open to candidates in USA. Lumen is a connectivity and technology company enabling secure, high-performance infrastructure for cloud, edge, and AI workloads. The Senior Lead Data Scientist will lead advanced analytics, AI-driven innovation, and decision intelligence initiatives across the Product organization, developing predictive models, KPI frameworks, automated workflows, and actionable insights. The role also involves cross-functional collaboration, experimentation with emerging technologies, and thought leadership in data-driven decision making.
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
Skills
- * 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
- * Advanced proficiency in SQL and Python
- * Experience developing predictive models, forecasting techniques, statistical analyses, and data-driven decision frameworks
- * Experience creating KPI frameworks, business performance measurements, and executive reporting solutions
- * Strong experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms
- * Experience working with both structured and unstructured data sources
- * Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences
- * Experience working with AI and machine learning platforms, including large language models and generative AI technologies
- * Experience developing AI-enabled workflows, intelligent automation solutions, or agent-based capabilities
- * Familiarity with Microsoft Azure AI, Azure OpenAI, Copilot Studio, Microsoft Fabric, Databricks, Snowflake, Palantir Foundry, Palantir AIP, or similar modern analytics ecosystems
- * Experience leveraging low-code and no-code technologies such as Power Platform, AI Builder, or workflow automation platforms
- * Understanding of Retrieval-Augmented Generation (RAG), vector search, knowledge-based AI systems, and modern AI architecture concepts
- * Experience supporting large-scale digital transformation initiatives through data, analytics, and AI solutions
- * Telecommunications or technology industry experience preferred
Benefits
- Remote opportunity open to candidates located anywhere in the U.S.
- A comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.
Company Overview
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