Data Coordinator – Marketing Data Science

Role Overview

• Lead the data scientists team, fostering an environment of collaboration, continuous learning, autonomy with accountability, and alignment with the organization's strategic priorities.
• Act as a people leader, conducting management routines, performance monitoring, goal setting, feedback, individual development and strengthening team culture.
• Build and prioritize the roadmap of analytical and data science initiatives, balancing business impact, technical feasibility, deadlines and team capacity.
• Ensure technical excellence in the development of models, experiments and AI-based solutions, following best practices for validation, monitoring, documentation and continuous improvement.
• Translate business problems into structured analytical approaches and turn results into actionable recommendations for technical and non-technical audiences.
• Foster a culture of quality and governance, ensuring data reliability, reproducibility, version control, model lifecycle management and compliance with regulatory and privacy requirements.
• Promote structured experimentation and evidence-based decision-making, disseminating analytical best practices and strengthening the maturity of data use in partner areas.
• Work cross-functionally with different business areas, including Marketing, CRM, Product and Technology, influencing stakeholders, aligning expectations and connecting the team's deliveries to the organization's strategic priorities.
• Lead the construction and evolution of models, rules and analytical solutions in production, ensuring their application in journeys, campaigns and decision-making processes, as well as monitoring performance and value generation.
• Measure and communicate the impact of initiatives, tracking adoption, performance, efficiency and business value indicators.

Requirements

• Proven experience in people leadership, including team management and development, goal definition, prioritization, performance monitoring and conducting feedback.
• Experience leading or acting as a senior member of data science teams, with exposure to complex analytical problems and applying models to support business decisions and process automation.
• Experience in relevant stages of the model lifecycle, including modeling, validation and monitoring of deployment in production environments.
• Strong fundamentals in statistics and machine learning, including experimental design, model performance evaluation and interpretation of results.
• Proficiency in SQL and in at least one language for analysis/modeling (Python or R).
• Ability to communicate and influence both technical and non-technical audiences, connecting analytical findings to business decisions and priorities.
• Knowledge of governance, privacy practices and LGPD (Brazilian General Data Protection Law) applied to the use of data.

Tech Stack

• Python
• SQL

Benefits

• 14th and 15th fixed salaries
• Profit-sharing (according to seniority)
• Health and Dental plans with no co-payment
• Wellness programs with Wellhub (formerly Gympass), nutrition support, psychology, occupational health services, massage, running group and local gym access
• Meal and Food Vouchers – flexible percentage allocation between benefit cards (no co-payment)
• Extended maternity and paternity leave
• Childcare or nanny allowance for children up to 6 years and 11 months
• Support for children with disabilities, with no age limit
• Life insurance
• Private pension plan up to 8% of salary
• Training platform – Sicredi Aprende, with a variety of courses
• 40-hour workweek – using a time bank system
• Telework allowance (except for positions that are 100% on-site)