Senior Lead Data Scientist: AI Strategy & Analytics

Lumen

Carson City (NV)

On-site

USD 139,000 - 185,000

Full time

6 days ago
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Benefits offered by this job

Health benefits
Life insurance
Bonus structure info

Job summary

Lumen is seeking a Senior Lead Data Scientist to spearhead advanced analytics, AI-driven innovation, and decision intelligence across the Product organization. You will bridge traditional analytics with modern data science, translating data into actionable insights and predictive models to improve business outcomes.

The ideal candidate blends deep analytical expertise with practical experience in automating workflows and leveraging AI platforms, shaping KPI frameworks and data-driven decision

Qualifications

  • 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.

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

SQL
Python
Advanced analytics
KPI frameworks
Stakeholder mgmt
BI tools
Communication

Education

Bachelor's/Master's degree in quantitative field

Tools

Power BI
Tableau
Azure AI
Databricks
Azure OpenAI
Power Platform

Job description

Lumen is seeking a Senior Lead Data Scientist to spearhead advanced analytics, AI-driven innovation, and decision intelligence across the Product organization. You will bridge traditional analytics with modern data science, translating data into actionable insights and predictive models to improve business outcomes.

The ideal candidate blends deep analytical expertise with practical experience in automating workflows and leveraging AI platforms, shaping KPI frameworks and data-driven decision

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