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).
#LI-BM2
Why join us?
- Competitive Salary
- Generous paid vacation days
- Generous sick time
- 100% paid health & dental benefits starting day one
- Annual profit-sharing distribution
- Paid parental leave
- Dedicated career advisor
And so much more…
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.