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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong leadership in Data Science, fostering team development and collaboration while effectively translating technical results into actionable business insights. Maintains methodological quality and data governance, ensuring alignment with organizational policies and best practices.
Highest-signal resume keywords
Data Science LeadershipMetrics Methodology and ValidationGenerative AI EvaluationCross-Disciplinary CollaborationAgile Management Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceModel EvaluationMetrics MethodologyGenerative AITechnical Fluency
Soft Skills
Team MentorshipCommunicationPsychological SafetyCollaboration
Tools & Technologies
MLflowDatabricksJira
Industry Keywords
Clinical ContextData GovernanceAI ProductsEvaluation Frameworks
About the role
Key responsibilities & impact- Lead, develop and retain the Data Science team, conducting regular 1:1s, ongoing feedback and individual development plans (IDPs) aligned with each person’s aspirations and the needs of the area.
- Run onboarding and ramp-up for new team members, ensuring technical, cultural and product-context integration from the first weeks.
- Foster an environment of psychological safety, collaboration and intellectual rigor, where disagreeing on a criterion or questioning a metric is a healthy part of the work.
- Recognize and highlight the team’s deliveries, connecting individual achievements to product impact, collective learning and purpose.
- Identify skills gaps and promote continuous development (assessment methodology, generative AI, clinical context, communication with the business).
- Translate business and clinical problems into clear methodological criteria — and translate technical results back into actionable decisions for non-technical stakeholders.
- Communicate results, risks and trade-offs clearly and honestly to Product, business areas and leadership, including when something did not work.
- Act as a bridge between Data Science and other functions — ML Engineering, AI Engineering, Data Engineering, SRE and Product — maintaining clear responsibility interfaces and avoiding scope overlap.
- Represent the Data Science discipline in Afya’s product decision forums and AI governance.
- Operational management and coordination.
- Plan the team’s capacity, prioritize demands and maintain a healthy work cadence (sprints, maintenance and quick requests), balancing product deliveries with methodological debt and research.
- Track progress of initiatives in management tools (Jira), anticipating blockers, dependencies and schedule risks before they become problems.
- Produce and present status and management reports to leadership, with tactical (what we delivered, what’s next) and strategic (where the discipline is heading) readings.
- Ensure methodological quality of metrics, golden datasets and evaluation frameworks (evals) for AI products, ensuring they correctly define “what good looks like.”
- Establish and disseminate evaluation standards and data science best practices, maintaining consistency across products.
- Safeguard data governance, experiments and reproducibility, always aligned with Afya’s policies.
- Maintain sufficient technical fluency to review methodological decisions in depth.
Requirements
What you’ll need- Solid experience in Data Science / model evaluation, with practical experience in metrics methodology and validation (ideally including evaluation of generative AI / LLMs).
- Previous experience leading or coordinating people, or a clear track record as a technical reference with team mentorship.
- Ability to switch between technical and business conversations with equal ease.
- Familiarity with the data/AI product lifecycle and collaborative work environments across disciplines (DS, ML, AI, Data, SRE, Product).
- Advantage: domain knowledge in clinical/healthcare context and experience with evaluation platforms (MLflow, Databricks) and agile management tools.
Benefits
Comp & perks- Meal allowance / meal voucher
- Transportation voucher (for hybrid or on-site roles)
- Wellhub (formerly Gympass)
- Psicologia Viva
- Health and Dental Plan
- Life Insurance
- Partnership with SESC
- Birthday Day Off
- Course platform for development (UCA)
- Language academy (AIA)
- Leadership development program
- Mentoring for Women at Afya (MMA)