Mid-Senior Data Scientist

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CI&T

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Artificial Intelligence • Cloud Services • SaaS

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

5001 - 10000 employees

Founded 1995

🤖 Artificial Intelligence

☁️ SaaS

💰 $5.5M Venture Round on 2014-04

📋 Description

• Conduct exploratory data analysis (EDA) to uncover relevant patterns and insights. • Develop predictive models using libraries such as TensorFlow, Keras, Scikit-Learn, and others. • Perform model experimentation and optimization, including hyperparameter tuning and cross-validation. • Implement feature engineering techniques to improve model performance. • Apply Natural Language Processing (NLP) and Deep Learning methods to relevant projects. • Collaborate with the data engineering team to ensure data integrity and accessibility. • Create impactful data visualizations using tools such as Power BI, Matplotlib, and Seaborn. • Develop and maintain MLOps pipelines, including CI/CD for machine learning models. • Integrate solutions with APIs and implement chatbots when required. • Present results and insights to stakeholders clearly and effectively.

🎯 Requirements

• Experience with programming languages such as Python, SQL, SAS, and PySpark. • Experience with machine learning libraries, including TensorFlow, Keras, Scikit-Learn, Spark MLlib, XGBoost, PyTorch, LightGBM, CatBoost, Prophet, and Statsmodels. • Strong understanding of data science, including data wrangling, large-scale data processing, statistics, and hypothesis testing. • Knowledge of data engineering with tools such as Hive and Airflow. • Experience with database management systems, preferably SQL Server. • Familiarity with cloud computing, especially AWS and Azure, and with tools such as Databricks and Docker. • Proficiency in MLOps and managing machine learning pipelines using tools such as MLflow, Kubernetes, and AWS SageMaker.

🏖️ Benefits

• Health and dental insurance; • Meal and grocery allowances; • Childcare assistance; • Extended parental leave; • Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) and TotalPass; • Profit-sharing (PLR); • Life insurance; • Continuous learning platform (CI&T University); • Employee discount club; • Free online platform dedicated to physical and mental health and wellbeing; • Pregnancy and responsible parenthood course; • Partnerships with online course platforms; • Language learning platform; • And many more