Data Scientist • Senior

Who you are

You have over 5 years of experience in data science, focusing on developing analytical solutions that drive business decisions. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, ensuring data quality and integrity. You are skilled in statistical modeling and machine learning, having built predictive models that enhance data-driven decision-making processes.

You possess a strong understanding of data visualization techniques, enabling you to present complex data insights in a clear and actionable manner. Your experience with data mining and profiling techniques helps you identify gaps and opportunities for improvement in client data. You are familiar with graph theory and have utilized these techniques to uncover relationships and patterns within datasets.

Your background includes working on projects involving generative AI and modern data science techniques, such as large language models and embeddings. You have participated in corporate data management initiatives, contributing to the governance and quality of master data. You thrive in collaborative environments, working closely with business and engineering teams to enhance data quality and support critical business initiatives.

Desirable

Experience with advanced data analysis techniques and familiarity with generative AI concepts are highly desirable. You have a track record of participating in projects that leverage graph analysis for relationship discovery and insight generation.

What you'll do

In this role, you will lead the development of advanced analytical solutions that support strategic client projects. You will conduct thorough analyses to identify inconsistencies and opportunities for improvement in client data, ensuring high-quality data management practices. You will build statistical and predictive models to enhance data enrichment and recommendation processes.

You will develop models of Golden Record to ensure the most accurate version of client data is maintained. Your work will involve applying graph techniques to identify complex relationships and opportunities within client data, such as detecting links and clusters. You will collaborate with cross-functional teams to drive continuous improvement in data quality and support governance initiatives.

Your responsibilities will also include documenting methodologies, processes, and results to ensure transparency and reproducibility in your work. You will play a key role in supporting Master Data Management (MDM) projects, contributing to the overall data governance strategy of the organization.

What we offer

At CI&T, you will be part of a dynamic team that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a supportive environment that encourages continuous learning and the application of cutting-edge technologies in data science. Join us in transforming client data into actionable insights that drive business success.