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Mid-Level Data Scientist

Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22, Brazil
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Description

Job Summary: We are seeking Mid-Level Data Scientists to develop and implement machine learning models and generative AI applications for a leading client in the biofuels industry. Key Highlights: 1. Working with generative AI and intelligent agents 2. Developing machine learning models to solve problems 3. Collaborating with diverse teams on innovative projects Are you passionate about technology and innovation? At SysMap Group — comprising SysMap Solutions, TriggoLabs, and triggo.ai — we believe outstanding results stem from exceptional people. We are a Brazilian technology company that, since 1999, has helped organizations overcome complex challenges and accelerate their digital transformation. Our expertise spans multiple sectors, including Telecom, Retail, Education, Financial Services, Industry/Cosmetics, and Energy — always focused on innovative, high-impact solutions. Apply now and help build the future of technology with us! **Responsibilities and Duties** **Job Description and Responsibilities:** ========================================== We are looking for **Mid-Level Data Scientists** to work with a **major client leading the biofuels industry**, aiming to **establish a new development initiative focused on machine learning and AI agent-based applications**. Initially, this initiative will focus on **internal process automation and optimization**, with plans to **expand into other strategic areas of the organization**. **Responsibilities** * Develop and implement **machine learning models** to solve business problems. * Participate in the **creation and evolution of applications leveraging generative AI and intelligent agents**. * Conduct **data exploration, preparation, and modeling** for predictive model development. * Contribute to **algorithm experimentation and hypothesis validation**. * Support the **construction of data pipelines and ML workflows**. * Collaborate with **data engineers, software engineers, and business units**. * Perform **exploratory analyses and develop metrics** for model evaluation. * Support **premise validation, testing, and refinement of AI solutions** alongside stakeholders. **Requirements and Qualifications** **Mandatory Requirements:** ============================ * Practical experience with **Python for data science**. * Knowledge of **data analysis and modeling libraries**, such as: * **Pandas** * **NumPy** * **Scikit\-Learn** * Experience with **supervised and unsupervised machine learning models**. * Experience with **manipulation and analysis of structured data**. * Familiarity with **data pipelines and batch processing**. * Basic knowledge of **MLOps or model management**. * Experience with **SQL and database data manipulation**. * Experience in **cloud environments or distributed infrastructure**. **Additional Information** * **Work Model:** Remote * **Working Hours:** 09:00–18:00 * **Team:** Expanding data and AI team * **Engagement Format:** Data product development and AI experimentation * **Environment:** Innovative projects involving **machine learning, generative AI, and intelligent agents** We are the **SysMap Group**, formed by the brands **SysMap Solutions, TriggoLabs, and triggo.ai**, an ecosystem of high-impact companies delivering innovative technology solutions that transform businesses and develop talent. 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 across diverse industries while actively tracking technological evolution. Here, we believe **technology only delivers value when built by people**. Therefore, we foster an ethical, collaborative, and diverse environment where learning is constant and excellence in what we do defines our culture. **The only way to participate in SysMap Group’s selection processes is through the company’s pages on the Gupy platform; there is no fee required for participation or hiring.**

Source:  indeed View original post
João Silva
Indeed · HR

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