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

Data Scientist Manager Greenwood village CO4 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 SkillSStrong 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 SkillSAutomation & 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)