PRINCIPAL DATA SCIENTIST

Required Qualifications • The "Accountability" Bar: You have a history of setting your own milestones, meeting/exceeding deadlines, and taking 100% ownership of your code and results. • Technical Proficiency: • Data: Fluent in SQL and Python (Mid-level proficiency required; higher a plus). • AI/LLM: Practical experience with LLMs and prompt engineering; able to articulate the risks, limitations as well as build creative solutions outside the traditional scope/limitations of the technology • Business Acumen: High-polish presentation skills; ability to remain composed and confident in front of executives. • Experience with Sales, Retention, and/or Call Center teams: Subject-matter expertise and capacity to “see through the eyes” of agents and leaders in those sorts of organizations, anticipate their needs, understand their pain points, etc. • Resilience: High tolerance for rapid pivoting and "red tape." You view sub-optimal tech stacks as a puzzle, not a barrier. Bonus Points • Automation: Proven experience using orchestrators to automate repetitive tasks and data flows. • Visual Storytelling: A background in graphic design or a knack for building beautiful, intuitive decks and dashboards. • Data Architecture: Foundational knowledge of data engineering principles.