Mid-Level Data Scientist, GCP

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create and implement sophisticated data models.

• Build a semantic data layer to support AI Agents.

• Develop evaluation frameworks for AI engines, including LLM-as-a-Judge with metrics for faithfulness.

• Design, develop, and oversee conceptual, logical, and physical data models.

• Set architectural standards for cataloging, lineage, observability, security, and interoperability.

• Create a strong data quality framework to maintain integrity throughout the data lifecycle.

• Generate data profiles, define key metrics, assess metadata solutions, and establish SLA tracking.

• Encourage the adoption of Google Cloud Platform (GCP) as the core of the data mesh.

• Implement catalog solutions to facilitate data discovery and build trust.

• Collaborate with Product and Analytics teams to convert use cases into actionable technical requirements.

• Guide alignment among various departments and stakeholders.

• Foster the ongoing technical growth of the team.

⛳️ Requirements

• Minimum of 2 years of demonstrated professional experience as a Data Scientist.

• Experience throughout the entire implementation lifecycle, from initial concept to production operations.

• Over 3 years of advanced Python development experience, particularly in data manipulation and analysis using Pandas or similar libraries.

• Advanced SQL proficiency.

• Strong understanding of contemporary data pipeline and orchestration tools.

• More than 1 year of practical experience in designing and constructing agent workflows.

• Familiarity with LangChain, LangGraph, Google Vertex AI, and the Google Agent Development Kit (ADK).

• Understanding of LLMs and LLM-as-a-Judge.

• Solid background in semantic layer modeling.

• Experience in building Knowledge Graphs and Ontologies for data platforms.

• Proficiency in using project management tools such as Atlassian Jira.

• Advanced English proficiency for everyday communication.

• Active Google Cloud Platform (GCP) Professional Certifications are advantageous.

• A master’s degree or equivalent postgraduate qualification in a related field is a plus.

🏝️ Benefits

• Flexible working hours and a flat organizational structure.

• Training and professional development programs.

• A culture focused on Diversity and Inclusion.

• Health and dental insurance.

• Meal and food allowances.

• Additional benefits, including language courses, childcare support, and contact lenses.

• Life insurance coverage.

• Discounts on CESAR School courses.

• A day off during your birthday month.

• Access to Gympass, Moodar, and Cíngulo, emphasizing physical and mental well-being.