Senior Lead Data Scientist: AI Strategy & Analytics Remote

Lumen

Lincoln (NE)

On-site

USD 140,000 - 210,000

Full time

6 days ago
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Benefits offered by this job

Health benefits
Life insurance
Voluntary lifestyle benefits

Job summary

Lumen is seeking a strategic and technically versatile Senior Lead Data Scientist to lead analytics, AI-driven innovation, and decision intelligence initiatives across the Product organization. This role will bridge traditional analytics, modern data science, and emerging AI technologies, turning complex data into actionable insights and predictive models.

The ideal candidate combines deep analytical expertise with experience in KPI frameworks and executive reporting, and can drive data-driven

Qualifications

  • 8+ years of analytics, data science, BI, or related disciplines.
  • Proficiency in SQL and Python.
  • Experience translating complex business problems into analytical solutions.
  • Experience with KPI frameworks and executive reporting.
  • Strong communication and stakeholder management.

Responsibilities

  • Lead analytics, AI initiatives, and decision intelligence with cross-functional teams.
  • Develop KPI frameworks, metrics, and dashboards for product success.
  • Build predictive models, forecasts, and segmentation strategies.
  • Evaluate AI-powered solutions and automate workflows.
  • Translate analyses into executive recommendations and narratives.

Skills

SQL
Python
Predictive modeling
KPI frameworks
Data storytelling
Stakeholder management
Cloud platforms

Education

Bachelor's or Master's in Data Science / Statistics / CS

Tools

Azure
Databricks
Power BI
Tableau
Power Platform

Job description

Lumen is seeking a strategic and technically versatile Senior Lead Data Scientist to lead analytics, AI-driven innovation, and decision intelligence initiatives across the Product organization. This role will bridge traditional analytics, modern data science, and emerging AI technologies, turning complex data into actionable insights and predictive models.

The ideal candidate combines deep analytical expertise with experience in KPI frameworks and executive reporting, and can drive data-driven

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