Senior Data Scientist – Machine Learning, LLM

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Conduct studies and analyses to identify gaps, inconsistencies, and opportunities for improvement in registration data.

• Develop statistical and predictive models for inference, recommendations, and data enrichment.

• Create Golden Record models to ensure the most accurate version of customer registration.

• Utilize graph techniques to uncover complex relationships and opportunities within the registration data, such as detecting links, clusters, and relationship patterns among entities.

• Work with large volumes of structured and unstructured data.

• Apply data profiling, imputation, and enrichment techniques.

• Collaborate with business and engineering teams for continuous data quality improvement.

• Support governance initiatives and Master Data Management (MDM) projects.

• Document methodologies, processes, and results in a clear and accessible manner.

⛳️ Requirements

• Proven experience in constructing statistical and predictive models (Linear and Logistic Regression, Decision Trees, Random Forest, Gradient Boosting).

• Proficiency in Python and SQL.

• Experience with classification and clustering models (K-Means, DBSCAN, etc.).

• Knowledge in graph modeling and analysis (e.g., Neo4j, Graph Data Science) will be considered a significant advantage.

• Experience in cloud environments (preferably Azure and Databricks).

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Economics, or related fields.

• Experience in financial institutions, banks, and/or insurance companies.

• Knowledge in data modeling and quality practices.

• Familiarity with Azure ML, Databricks, and other AI platforms.

• Experience with GenAI and modern Data Science techniques (LLMs, embeddings, multimodal models).

• Participation in corporate registration, CRM, or data governance projects.

• Desirable knowledge in Generative AI (GenAI) and modern data analysis techniques.

• Experience in projects utilizing graphs for relationship analysis and insight discovery.

🏝️ Benefits

• Health and dental insurance;

• Meal and food vouchers;

• Childcare assistance;

• Extended parental leave;

• Partnership with gyms and health and wellness professionals through Wellhub (Gympass) TotalPass;

• Profit and Results Participation (PLR);

• Life insurance;

• Continuous learning platform (CI&T University);

• Discount club;

• Free online platform dedicated to promoting physical, mental health, and well-being;

• Courses on pregnancy and responsible parenting;

• Partnerships with online course platforms;

• Language learning platform;

• And many more.