Semantix
Artificial Intelligence • SaaS • B2B
Semantix is a Latin American deep‑tech company that combines data intelligence, artificial intelligence and advanced engineering to deliver scalable analytics, AI solutions and managed data services. It provides consulting and professional services (data science, advanced analytics, data engineering), a low‑code integration platform (LinkAPI) and industry products for health and pharma (Zetta, ATsaúde), serving enterprises with SaaS products and 24/7 operational support.
Senior Data Scientist
Job not on LinkedIn
November 6
🗣️🇧🇷🇵🇹 Portuguese Required
Semantix
Artificial Intelligence • SaaS • B2B
Semantix is a Latin American deep‑tech company that combines data intelligence, artificial intelligence and advanced engineering to deliver scalable analytics, AI solutions and managed data services. It provides consulting and professional services (data science, advanced analytics, data engineering), a low‑code integration platform (LinkAPI) and industry products for health and pharma (Zetta, ATsaúde), serving enterprises with SaaS products and 24/7 operational support.
📋 Description
• Perform data studies and analyses to identify gaps in customer/master data, missing relevant information, and quality issues. • Develop statistical and predictive models for data inference and recommendation. • Build golden record models to determine the best version of a customer's record. • Work with large volumes of structured and unstructured data. • Collaborate with business and engineering teams to continuously improve data quality. • Apply techniques for data profiling, imputation, and data enrichment. • Support data governance initiatives and MDM (Master Data Management). • Document methodologies and results clearly and accessibly.
🎯 Requirements
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Economics, or related fields. • Strong knowledge of applied statistics, predictive modeling, and machine learning. • Experience with Python and SQL. • Experience with cloud environments (preferably Microsoft Azure and Databricks). • Knowledge of data modeling, data wrangling, and data quality. • Preferred: Experience building statistical golden record models and MDM. • Experience working on data quality and governance projects. • Familiarity with Azure ML, Databricks, or other AI platforms. • Participation in corporate master data or CRM projects. • Application of Generative AI (GenAI) to automate analyses, generate insights, and produce technical documentation. • Proactivity and analytical curiosity. • Ability to communicate effectively with technical and business stakeholders. • Results-oriented with a focus on continuous improvement. • Interest in data quality, master data management, and customer experience topics.
🏖️ Benefits
• Market-competitive salary • Caju (flexible benefits card) with a monthly top-up of R$ 1,060 • Bradesco Health Plan • Bradesco Dental Plan • Preventive medicine services with Dr. Alper • Life insurance • WellHub • SESC • Childcare assistance for mothers and fathers • Learning — an area focused on developing hard and soft skills • Partnerships with educational institutions for technical training, MBAs, postgraduate programs, certifications, and English and Spanish courses • Career plan • Discounts on products from a partner portal
Apply NowSimilar Jobs
October 31
Data Scientist applying analytics and modeling techniques to improve business results for a large insurance provider. Collaborating with teams to implement models and support decision-making processes.
October 31
Senior Decision Data Science Manager providing critical analytics and decision support to insurance client. Leading data-driven strategies using advanced analytics and modeling techniques.
October 31
Senior Data Scientist at Rox Partner, responsible for developing and implementing machine learning models. Collaborating with data engineers and supporting business teams with data-driven insights.
🗣️🇧🇷🇵🇹 Portuguese Required
October 28
Data Scientist at Stefanini focusing on AI, Machine Learning, and data infrastructure solutions. Responsibilities include handling data visualization and advanced statistical modeling.
🗣️🇧🇷🇵🇹 Portuguese Required
October 28
Sistema Fibra
1001 - 5000
Trainee in Data Science and Computer Engineering at CARGILL. Involved in creating automation models and data analysis tasks with a focus on AI and machine learning.
🗣️🇧🇷🇵🇹 Portuguese Required