Sicredi

Data Coordinator – Marketing Data Science

Sicredi

full-time

Posted on:

Location Type: Hybrid

Location: Porto Alegre • Brazil

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Tech Stack

PythonSQL

About the role

  • Lead and develop a team of data scientists, fostering collaboration, technical growth, and alignment with Marketing/CRM strategic priorities.
  • Build and prioritize the roadmap of initiatives (propensity, churn/retention, segmentation, recommendation, uplift, experimentation, and GenAI for insights and productivity), balancing innovation, timelines and priorities.
  • Ensure quality and reliability of data, features, models and agents (best practices for validation, performance and business metrics, explainability where applicable, and production monitoring).
  • Integrate models and agents into marketing platforms (CRM/CDP, automation, journey orchestration, paid media, messaging), in partnership with technology and MarTech teams.
  • Translate business problems into hypotheses/models and turn results into actionable decisions, communicating clearly to technical and non-technical audiences.
  • Measure impact (conversion, retention, incremental uplift, ROI/ROAS, CAC, coverage/precision), reporting learnings and next steps.
  • Oversee governance and lifecycle (versioning, re-training, deprecation), documentation, and compliance with privacy/LGPD (Brazilian General Data Protection Law).
  • Foster structured experimentation (A/B and multivariate), a culture of evidence and reproducibility.
  • Collaborate on data acquisition and qualification and on improvements to the analytics architecture/stack when necessary.

Requirements

  • Previous experience in Digital Marketing and/or CRM, applying data science to segmentation, propensity, recommendation, campaign optimization and impact measurement.
  • Proven people leadership experience (minimum 2 years): managing and developing teams, leadership routines and rituals, setting goals/OKRs, prioritization and feedback.
  • Experience across the full model lifecycle (ideation → data/feature store → modeling/validation → deploy/monitoring) and in integration with marketing platforms.
  • Solid fundamentals in statistics/ML (supervised and unsupervised models), experimental design and model and business metrics.
  • Proficiency in SQL and at least one language for analysis/modeling (Python or R).
  • Ability to communicate with technical and non-technical audiences, translating analytical findings into business decisions.
  • Knowledge of privacy practices and LGPD applied to marketing and customer data.
  • Preferred: Experience with MMM (Marketing Mix Modeling), attribution models (data-driven and algorithmic) and lookalike modeling.
  • Experience with generative AI agents applied to customer understanding and/or automation of analyses.
  • Familiarity with MLOps (model versioning, retraining pipelines, drift monitoring) and best practices in data engineering for analytics.
  • Familiarity with MarTech stacks (CRM/CDP, automation, orchestration, media APIs) and experimentation tools.
Benefits
  • 14th and 15th fixed salaries
  • Profit-sharing/performance participation (based on seniority)
  • Health and dental insurance with no co-payment
  • Wellness programs via Wellhub (formerly Gympass): Nutrition, Psychology, Occupational health, Massage, running group and local gym
  • Meal allowance and food voucher – flexible allocation percentage between VA/VR cards, no co-payment
  • Extended maternity and paternity leave
  • Daycare or babysitter subsidy for children up to 6 years and 11 months
  • Support for children with disabilities, no age limit
  • Life insurance
  • Private pension plan up to 8% of salary
  • Training platform – Sicredi Aprende, offering various courses
  • 40-hour workweek – using a time bank system
  • Remote work allowance (except for positions that are 100% on-site).
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencesegmentationpropensity modelingrecommendation systemscampaign optimizationimpact measurementstatisticsmachine learningSQLPython
Soft Skills
people leadershipteam managementgoal settingprioritizationcommunicationcollaborationexperimentationproblem solvingfeedbacktranslating findings