Data Science Coordinator – Generative AI & Agents

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🕒 June 19

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YDUQS

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2019

📚 Education

⚕️ Healthcare Insurance

💰 Post-IPO Equity on 2017-07

Education • Healthcare Insurance • ESG

YDUQS is a Brazilian educational organization that focuses on providing higher education through multiple business units. The company is actively involved in expanding its presence in the healthcare education sector, recently acquiring additional medical school vacancies. YDUQS emphasizes its commitment to ESG (Environmental, Social, and Governance) strategies, aiming to enhance its social impact while delivering significant financial results. The organization regularly shares its financial performance and strategic developments with stakeholders, including hosting teleconferences for result disclosures.

📋 Description

• Lead and manage the data science team, promoting career development, conducting hiring, and ensuring a high-performance, collaborative environment; • Define the strategic vision and roadmap for our AI agents platform, ensuring alignment with business needs and a focus on reuse, governance, and tangible impact; • Manage the AI project portfolio from conception to production, controlling timelines, prioritizing the backlog, and communicating progress to stakeholders; • Ensure the implementation of guardrails and best practices to guarantee the security, quality, and reliability of the AI solutions developed by the team; • Lead the structuring and evolution of GenAI Ops practices, including experimentation, versioning, evaluation, and continuous monitoring; • Serve as the focal point between the data science team and engineering and product teams, translating business needs into scalable technical solutions; • Foster a culture of innovation, encouraging the team to experiment with techniques such as RAG, embeddings, and prompting to continuously improve performance.

🎯 Requirements

• Bachelor's degree in Technology or a related field; • Proven experience leading Data Science teams, with recent involvement in Generative AI and agent projects; • Deep knowledge of AI solution architecture and the ability to translate business challenges into data projects; • Experience with the MLOps/LLMOps ecosystem and operationalizing models in production; • Experience managing the lifecycle of AI projects, from prototyping to final delivery; • Strong technical proficiency in Python and experience with Databricks (or similar platforms) to guide team decisions; • Familiarity with software development best practices, version control (Git), and agile methodologies.

🏖️ Benefits

• Tuition scholarships of up to 100% for employees, legal dependents, and household members (father, mother, and siblings). Up to three scholarships may be active simultaneously; • Health insurance with full subsidy for the employee and partial coverage for their family, with the employee responsible for copayments; • Optional dental plan to support oral health; • Meal allowance or food voucher with the option to choose according to your needs; • Wellhub or Totalpass for flexible gym options; • Wellz, a platform focused on employees' mental and emotional health providing various types of support, including access to individual online therapy; • Well-being and benefits club with a dedicated program and exclusive perks; • Flexible dress code to promote our diversity; • Life insurance; • Partnership with SESC; • Corporate University available on our exclusive portal, Educare; • Growth opportunities — currently more than 60% of positions are filled through internal selection.