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Senior Data ScientistL2R Consulting • United States
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Senior Data Scientist

L2R Consulting
  • US
    United States
  • US
    United States
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À propos

The Role Learn more about the general tasks related to this opportunity below, as well as required skills. 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. xywuqvp Data Architecture:
Foundational knowledge of data engineering principles.
  • United States

Compétences linguistiques

  • English
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