Internship position at Webedia engaging in data analysis and marketing insights in digital media. Located in São Paulo with a commitment to diversity and inclusion.
About the role
- Data Science Coordinator at Sicredi managing a team focused on predictive models and marketing strategies. Collaborating cross-functionally to ensure quality integration of data and tools in marketing.
Responsibilities
- Lead and develop a team of data scientists, fostering collaboration, technical growth and work aligned with Marketing/CRM strategic priorities.
- Build and prioritize the roadmap of initiatives (propensity, churn/retention, segmentation, recommendation, uplift, experimentation and Generative AI for insights and productivity), balancing innovation, timelines and priorities.
- Ensure data, features, models and agents are reliable and of high quality (best practices for validation, performance and business metrics, explainability when 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.
- Ensure governance and lifecycle management (versioning, re-training, deprecation), documentation and compliance with privacy/LGPD.
- Promote 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 needed.
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): team management and development, leadership routines and rituals, goal/OKR definition, prioritization and feedback.
- Experience across the full model lifecycle (ideation → data/feature store → modeling/validation → deploy/monitoring) and in integrating with marketing platforms.
- Strong fundamentals in statistics/ML (supervised and unsupervised models), experiment 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 stakeholders, turning analytical findings into business decisions.
- Knowledge of privacy practices and LGPD as applied to marketing and customer data.
- 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, re-training pipelines, drift monitoring) and data engineering best practices for analytics.
- Familiarity with MarTech stacks (CRM/CDP, automation, orchestration, media APIs) and experimentation tools.
Benefits
- 14th and 15th fixed salary payments
- Profit-sharing/results participation (depending on seniority)
- Health and Dental plans with no co-pay
- Wellness programs via Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running group and local gym
- Food and meal vouchers – flexible allocation between food and meal cards, no co-pay
- Extended maternity and paternity leave
- Childcare or nanny allowance for children up to 6 years and 11 months
- Allowance for children with disabilities, no age limit
- Life insurance
- Private pension plan up to 8% of salary
- Training platform – Sicredi Aprende, offering a variety of courses
- 40-hour work week – using a time bank system
- Remote work allowance (except for positions that are 100% on-site)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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