Data Coordinator – Marketing Data Science

Sicredi

Leader of data scientists transforming marketing data into actionable insights at Sicredi. Focused on strategy, execution, and AI solutions for decision-making enhancement.

Posted 5/29/2026full-timePorto Alegre • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencemodelingvalidationmonitoringstatisticsmachine learningexperimental designSQLPythonR

Soft Skills

people leadershipteam managementgoal definitionperformance monitoringfeedbackcommunicationinfluencecollaborationcontinuous learningautonomy