Lead Data Analyst Role

hace 1 semana


Marbella, Málaga, España Ravenpack A tiempo completo
About the Job

We're seeking a Senior Data Scientist to join our team and drive the development and refinement of Structured Data Agents. As a key member of our team, you'll be responsible for driving innovation and delivering high-quality results.

Responsibilities
  • Dataset Exploration:
    • Rapidly understand new datasets, including corner cases and nuances, to optimize their use in AI systems.
    • Design workflows for integrating and validating structured data.
  • Specification & Validation:
    • Write detailed specifications for structured data agents aligned with business goals.
    • Design and execute testing protocols for data validation and QA, resolving inconsistencies.
  • Development & Integration:
    • Contribute high-quality Python code to structured data agent pipelines.
    • Integrate LLMs for structured data processing and dynamic problem-solving.
  • Collaboration & Communication:
    • Work cross-functionally with Data Engineering, Product, and QA teams.
    • Clearly explain complex technical concepts to both technical and non-technical stakeholders.
Requirements
  • Required Skills:
    • Proficiency in Python for data processing and AI development.
    • Experience with LLMs, including fine-tuning and applying them to structured data.
    • Expertise in handling large-scale structured datasets (SQL) and validation processes.
    • Experience with cloud platforms (AWS, SnowFlake) and collaborative tools (git).
    • Excellent communication skills and ability to contribute immediately.
    • Strong analytical and problem-solving skills with a proactive mindset.
  • Education & Experience:
    • Master's degree in Data Science, Computer Science, Engineering or Finance-related fields (PhD preferred).
    • 4+ years of experience in data science.
What We Offer
  • A competitive salary range of $140,000 - $180,000 per year.
  • An opportunity to work on Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
  • International culture with a diverse global organization.
  • Continuous learning and growth opportunities.
  • Hybrid work arrangement and shuttle bus service.


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