We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
We are looking for a passionate and versatile Data Scientist to join our global team at CI&T. In this role, you will apply statistical modeling, machine learning, and advanced analytics to solve real-world problems for some of the world’s largest brands. You will work with structured and unstructured data, experiment with algorithms, and build data-driven solutions that drive business impact.
Main Responsibilities:
● Understand complex business challenges and translate them into data science problems.
● Explore, analyze, clean, and model structured and unstructured datasets from various sources.
● Design and implement machine learning models, statistical tests, and optimization strategies.
● Conduct experimentation using A/B testing, uplift modeling, and simulation frameworks.
● Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.
● Create and present data storytelling insights for both technical and business stakeholders.
● Contribute to model explainability, fairness, and responsible AI practices.
● Stay updated on academic and industry research, and promote innovative solutions.
Requirements:
● Proficiency in Python (pandas, scikit-learn, statsmodels, etc.) and SQL.
● Experience building and validating ML models: regression, classification, clustering, dimensionality reduction, forecasting.
● Strong knowledge of data wrangling, feature engineering, and statistical hypothesis testing.
● Experience with cloud platforms (AWS, Azure, or GCP) and scalable data/ML tools (e.g., Databricks, BigQuery, SageMaker).
● Familiarity with Git and experimentation frameworks.
● Experience with model deployment and integration into digital products or services.
● Business acumen and a consulting mindset to help translate insights into impact.
● Advanced communication skills in English (written and spoken), able to work in multicultural teams.
Nice to Have:
● Knowledge of Explainable AI techniques.
● Exposure to graph analytics, recommender systems, or NLP applications.
● Experience with data visualization tools (Power BI, Tableau, Plotly, Streamlit).
● Understanding of data governance, quality, and security (including GDPR).
● Familiarity with CI/CD and MLOps practices (e.g., MLflow, DVC).
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