Senior Data Scientist

Description

Are you driven by technology, data, and innovation? At Triggo.ai, we transform complex challenges into intelligent solutions. We are a Brazilian company focused on Analytics, AI, and digital transformation, helping organizations make more strategic decisions and generate real business impact. We work with different market sectors, always combining cutting-edge technology, business vision, and agile execution. If you want to build solutions that make a difference and grow with a high-performance team, your place might be here. Come to Triggo.ai and build the future with us. **Responsibilities and attributes** **Strategy and Business:** Translate business challenges and opportunities into solutions based on Artificial Intelligence and Machine Learning, identifying high-value use cases and measuring the financial, operational, and strategic impact of the developed models; **AI/ML Model Development:** Design, build, validate, and optimize advanced Machine Learning models end-to-end, from data exploration and preparation to deployment and monitoring in a production environment; **MLOps and Operationalization:** Implement MLOps practices for pipeline automation, model versioning, performance monitoring, drift detection, and ensuring the reliability of solutions in production; **Cloud Solution Architecture:** Design and evolve scalable data and Machine Learning architectures in cloud environments, especially Google Cloud Platform (GCP), ensuring performance, security, availability, and operational efficiency; **Quality, Governance, and Best Practices:** Ensure high technical quality standards through the application of development best practices, data governance, observability, documentation, and model lifecycle management; **Technical Leadership:** Act as a technical reference for Data and Artificial Intelligence initiatives, supporting decision-making, defining architectural standards, and disseminating knowledge to multidisciplinary teams; **Innovation and Technological Evolution:** Evaluate new technologies, frameworks, and approaches related to Artificial Intelligence, Machine Learning, and Generative AI, promoting the continuous evolution of the organization's analytical capabilities; **Stakeholder Relationship:** Work in partnership with business areas, technology, and executive leadership to ensure that the developed solutions are aligned with the company's strategic objectives and generate measurable results. **Requirements and qualifications** * **Programming for Data and AI:** Advanced proficiency in **Python or R** for the development of analytical models, data manipulation, process automation, and implementation of Machine Learning solutions in production environments; * **Data Analysis and Manipulation:** Solid experience in **advanced SQL**, performing extraction, transformation, cleaning, and integration of large volumes of data, ensuring the quality and availability of information for analysis and modeling; * **Machine Learning and Predictive Modeling:** Proven experience in building, training, validating, optimizing, and deploying supervised and unsupervised models, using frameworks such as **Scikit\-Learn, XGBoost, LightGBM** and related libraries; * **MLOps and Model Deployment:** Experience in the complete Machine Learning model development cycle, including versioning, monitoring, reproducibility, pipeline automation, and performance tracking in production; * **Cloud Computing and Big Data:** Experience in **Google Cloud Platform (GCP)** environments and distributed processing and large-scale data analysis tools, such as **Spark, Databricks, and BigQuery**, ensuring scalability and high performance of solutions; * **Applied Statistics and Experimentation:** Solid knowledge of statistics, statistical inference, mathematical modeling, and experimental design, including the conduct and interpretation of **A/B tests** for data-driven decision-making; * **Business Vision and Value Generation:** Ability to transform analytical results and model performance metrics into actionable insights, connecting Data Science initiatives to the strategic, financial, and operational objectives of the organization; * **Impact and Performance Measurement:** Experience in developing and tracking business indicators and model metrics, evaluating efficiency gains, revenue increases, cost reductions, and improvements in customer experience; * **Data Solution Architecture:** Knowledge in building scalable architectures for data processing, storage, and consumption, following best practices for governance, quality, and information security; * **Complex Problem Solving:** Ability to operate in high-complexity analytical scenarios, identifying opportunities, proposing innovative solutions, and supporting strategic decisions through Artificial Intelligence and Advanced Analytics; **Additional information** **Differentiators:** * Experience in Health We are the **SysMap Group**, formed by the brands **SysMap Solutions, TriggoLabs, and triggo.ai**, an ecosystem of companies with a major impact on the market, with innovative technology solutions that transform businesses and develop people. Our essence is driven by a **passion for innovation, collaboration, and continuous growth**. For over **25 years**, we have exceeded expectations by solving complex business challenges, operating in different segments and actively following technological evolution. Here, we believe that **technology only generates value when it is built by people**. Therefore, we cultivate an ethical, collaborative, and diverse environment where learning is constant and excellence in what we do is part of our way of being. **The only way to participate in SysMap Group selection processes is through the company's pages on the Gupy platform, and there is no participation fee or hiring charge.**