Proficiency in Python, SQL, and PySpark., Experience with machine learning libraries like TensorFlow, Keras, and Scikit-Learn., Strong understanding of Data Science concepts, including data wrangling and statistical testing., Knowledge of data engineering tools such as Databricks and Azure Synapse..
Key responsibilities:
Conduct exploratory data analysis to identify patterns and insights.
Develop and optimize predictive models using various machine learning techniques.
Create visualizations and communicate findings to stakeholders.
Collaborate with data engineering teams to ensure data integrity and implement MLOps pipelines.
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Ci&T
5001 - 10000
Employees
About Ci&T
We are your tech transformation specialists, combining human expertise with AI to create scalable solutions that help you Navigate Change.
With over 6,500 CI&Ters and partnerships with more than 1,000 clients, we have a 30-year history of transformation.