Data Scientist Manager (Dont apply if youre not local to CO)

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)