Data Scientist Manager (Don''t apply if you''re not local to CO)

Millennium Global Technologies
Greenwood Village, US
On-site

Job Description

Data Scientist Manager

Greenwood village CO

4 days onsite

  • T-shaped role combining strong business communication with hands-on data science/analytics execution.
  • Own end-to-end delivery—from interpreting vague executive requests to building automated data pipelines.
  • Heavy focus on executive presence: clear communication, active listening, and polished presentations.
  • Deliver executive-ready insights that answer the “so what” with no additional cleanup needed.
  • Act as team lead/mentor, improving junior staff output and introducing better tools/processes.
  • Handle rapid-turnaround analytics projects (often within 48–72 hours).
  • Build scalable solutions using Python, SQL, and LLM-based automation workflows.
  • Navigate technical limitations, bureaucracy, and shifting priorities with creative problem-solving.
  • Requires strong ownership mindset, business acumen, and experience with sales/retention/call center domains.
  • Bonus: experience with automation/orchestration tools, data architecture, and visual storytelling (dashboards/decks).

Mandatory SkillS

  • Strong communication & executive presence (presenting to senior leadership, storytelling)
  • End-to-end ownership of analytics projects (problem → solution → delivery)
  • SQL proficiency (core data querying skill)
  • Python proficiency (data analysis, automation, workflows)
  • Experience with LLMs / prompt engineering (practical usage + understanding limitations)
  • Business acumen (answering “so what,” aligning insights to decisions)
  • Rapid delivery mindset (working in tight 48–72 hour timelines)
  • Problem-solving in constrained environments (workarounds, dealing with red tape)
  • Leadership/mentorship experience (guiding junior team members)
  • Domain experience in sales, retention, or call center operations
  • High accountability & ownership mindset

Secondary / Bonus SkillS

  • Automation & orchestration tools (schedulers, pipelines)
  • Advanced workflow automation using LLMs
  • Data engineering / architecture fundamentals
  • Dashboarding & visual storytelling (clean, executive-ready outputs)
  • Design skills / strong presentation aesthetics (deck-building, UX mindset)

Skills & Requirements

Technical Skills

PythonSqlLlmsPrompt engineeringAutomationOrchestration toolsData architectureDashboardingVisual storytellingLeadershipCommunicationProblem-solvingMentorshipSalesRetentionCall center operations

Level

manager

Posted

4/27/2026

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