Data Scientist Manager (Don''t apply if you''re 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)