Field Marketing Working Student supporting the Field Marketing Manager in event campaigns and demand generation at Snowflake in Munich. Gaining hands - on experience and helping in marketing activities.
About the role
- Leads Sicredi's marketing data science team, developing predictive models and AI agents for marketing strategies. Requires strong experience in digital marketing, teamwork, and data integration.
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 GenAI for insights and productivity), balancing innovation, deadlines and priorities.
- Ensure the quality and reliability of data, features, models and agents (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 results into actionable decisions, communicating clearly to technical and non-technical audiences.
- Measure impact (conversion, retention, incremental uplift, ROI/ROAS, CAC, coverage/accuracy), reporting learnings and next steps.
- Oversee governance and lifecycle (versioning, re-training, deprecation), documentation and compliance with privacy/LGPD.
- Promote structured experimentation (A/B and multivariate), an evidence-based culture 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 in at least one language for analysis/modeling (Python or R).
- Ability to communicate with technical and non-technical audiences, turning analytical findings into business decisions.
- Knowledge of privacy practices and LGPD applied to marketing and customer data.
- Desired: Experience with MMM (Marketing Mix Modeling), attribution models (data-driven and algorithmic) and lookalike. 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 good data engineering practices for analytics. Familiarity with MarTech stacks (CRM/CDP, automation, orchestration, media APIs) and experimentation tools.
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, psychology, occupational health, massage, running group and local gym
- Meal and food allowances – flexible % on VA/VR cards, no co-payment
- Extended maternity and paternity leave
- Childcare or nanny assistance for children up to 6 years and 11 months
- Assistance for children with disabilities, no age limit
- Life insurance
- Private pension up to 8% of salary
- Training platform – Sicredi Aprende, with a variety of courses
- 40-hour workweek – using a time-bank system
- Remote work allowance (except for positions with 100% on-site presence)
Job title
Job type
Experience level
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Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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