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Responsibilities:
- Translate digital event data (web/app) into user behavior models;
- Develop exploratory and advanced analyses for pattern, journey, and friction identification;
- Generate actionable insights influencing product, marketing, and customer experience decisions;
- Structure and conduct analytical hypotheses, ensuring validation through testing and experimentation.
Requirements:
- Experience as a Data Scientist;
- Proficiency in digital behavioral data analysis;
- SQL expertise (query optimization, relational and analytical modeling);
- Hands-on experience with Snowflake and dbt;
- Pipeline building with Airflow and AWS Lambda.
Nice to have:
- Data platform: Snowflake, dbt;
- Orchestration and Cloud: Airflow (AWS), AWS Lambda, EKS;
- Languages and libs: Python, Pandas, FastAPI;
- Databases: Postgres, Snowflake;
- Dev: Git, CI/CD, IaC;
- Observability: CloudWatch, Grafana/Prometheus.
Benefits:
- Health and dental plan;
- Meal and food allowance;
- Childcare assistance;
- Extended parental leave;
- Gym partnership via Wellhub/TotalPass;
- Profit sharing (PLR);
- Life insurance;
- Continuous learning platform;
- Discount club;
- Online well-being platform.
CI&T
CI&T helps large companies transform the potential of AI into real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across 25 countries, we foster a collaborative culture that prioritizes inclusion and well-being.