Senior Data Scientist

Description

Job Summary: At Semantix, the Data Scientist will operate with an end-to-end vision, combining analytical modeling with data engineering, pipeline construction, Azure cloud architecture, and software engineering fundamentals. Key Highlights: 1. Positively impact billions of lives 2. A team of innovation enthusiasts with a data-driven culture 3. Develop statistical and machine learning models **Positively impacting billions of lives is our purpose—and it can be yours too!** Founded in 2010 in Brazil, Semantix is a reference in Big Data, Analytics, and Artificial Intelligence. We are a team of innovation enthusiasts from diverse backgrounds and varying levels of experience. What unites us is our shared motivation to transform our customers’ experiences through a data-driven culture. If this resonates with you, Semantix is your place. We’re eager to welcome you to our team. After all, **the future is built together**. Requirements: Work as a Data Scientist with an end\-to\-end vision, combining analytical modeling with expertise in data engineering, pipeline construction, cloud (Azure) architecture, and software engineering fundamentals. The professional will be responsible not only for developing models but also for ensuring technical robustness, scalability, governance, and operational efficiency of data solutions. We seek a Data Scientist who goes beyond traditional statistical modeling, **with English fluency for daily technical meetings and discussions.** **An ideal candidate has:** An engineering mindset Understanding of infrastructure Ability to build and maintain pipelines Background in Software Engineering Strong ability to read and interpret architecture and cloud environments Someone who elevates the team’s technical level, contributing best practices, systemic thinking, and the ability to design sustainable solutions. **Key Responsibilities:** Develop statistical and machine learning models. Build and optimize data pipelines for experimentation and production. Work on data processing, cleaning, and transformation at scale. Deploy models into production environments with focus on performance and scalability. Work within Azure environments, using data and compute services. Support architectural decisions related to data. Apply best practices for version control, testing, and code organization. Contribute technically with infrastructure awareness and solution sustainability. **Expected Technical Competencies:** **Data Science:** Statistical and machine learning modeling Feature engineering Model validation and evaluation Structured experimentation **Data Engineering:** Pipeline construction (batch and/or near real\-time) Data manipulation and transformation Performance and optimization Workflow orchestration **Cloud – Azure:** Experience with Azure data and analytics services Understanding of cloud architecture Knowledge of data security and governance **Infrastructure (Important Differentiator):** Basic infrastructure knowledge Concepts of networking, environments, and scalability Observability and monitoring **Language:** English fluency Benefits Competitive market-aligned salary; Caju (flexible card) loaded with R$ 1\.060/month; Bradesco Health Plan; Bradesco Dental Plan; * ️ Preventive medicine with Dr. Alper; Life Insurance; * ️ Gympass; ️ SESC; Daycare allowance for mothers and fathers; Bonus; Learning – an area focused on developing hard and soft skills; Partnerships with educational institutions for technical training, MBAs, postgraduate degrees, certifications, English, and Spanish; Career Development Plan; Discounts on products via a partner portal. We emphasize that all our positions are open to individuals of all profiles and backgrounds, valuing diversity and fostering an inclusive and welcoming environment for everyone.