Senior Data Scientist

The Role We are looking for a rare analytics and/or data science professional who combines elite business communication with hands-on technical execution. You aren't just a builder; you are a problem-solver who can navigate corporate bureaucracy and sub-optimal tech stacks to deliver executive-ready solutions. You will be responsible for end-to-end delivery from interpreting ambiguous executive requests to automating the final data pipeline. Key Responsibilities • Rapid Delivery: Own the end-to-end lifecycle of analytics projects with urgency (often 48–72 hour windows). • Executive-Level Delivery: You will be fulfilling critical requests for senior leadership. You must be able to "put on an executive hat" anticipating the "so what?" behind the data and delivering polished, high-impact results that require zero cleanup. Being an exceptionally good listener and following through on requirements will both be critical to success. • Intelligent Automation: Architect your own workflows using LLMs, Python to ensure work is scalable, reusable, and faster than manual processes. Experience using orchestrators and schedulers is a strong plus. • Strategic Problem Solving: Find creative "workarounds" for technical hurdles, permission blocks, and shifting political priorities without losing momentum. • Mentorship: Serve as a technical and professional coach for junior staff, upleveling their output and accountability. • • 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). • Visualization: Proficient-level experience with data cubes and BI tools (Tableau preferred; expert level a plus). • AI/LLM: Practical experience with LLMs and prompt engineering; able to articulate the risks, limitations, and "hallucination" hurdles of the tech. • Automation: Proven experience using orchestrators to automate repetitive tasks and data flows. • Business Acumen: High-polish presentation skills; ability to remain composed and confident in front of executives. • Resilience: High tolerance for rapid pivoting and "red tape." You view sub-optimal tech stacks as a puzzle, not a barrier. Bonus Points • Visual Storytelling: A background in graphic design or a knack for building beautiful, intuitive decks and dashboards. • Domain Expertise: Previous experience working within or for Call Center operations. • Data Architecture: Foundational knowledge of data engineering principles.