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Senior Data Scientist
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

**Nice to meet you—we’re Zallpy!** We are much more than a technology company; we are a diverse, plural, and talented community. Our purpose is to lead digital transformation with excellence and agility, fostering mutual and genuine growth through ethical and enduring relationships. Flexibility is one of our hallmarks—we operate across various team models and formats while maintaining a light, collaborative, and integrated culture that ensures equitable opportunities in a space where everyone feels safe and heard. **What you’ll do:** * End-to-end development, validation, and maintenance of supervised and unsupervised Machine Learning models. * Building Data Science solutions integrated into digital products, exposing models via APIs or batch/stream pipelines. * Working on Generative AI projects—including use case design, POC prototyping, and integration of LLMs into business workflows. * Data preparation: collection, cleaning, transformation, feature engineering, and documentation. * Selection of appropriate algorithms and metrics for each problem type (classification, regression, time series, clustering, etc.). * Interpretation of results and communication of technical and business recommendations. * Collaboration with cross-functional teams to translate business needs into modeling problems. * Monitoring models in production and proposing continuous improvements to ensure robustness and stability. **What we’re looking for:** * Proven experience as a Data Scientist or Machine Learning Engineer working on end-to-end projects. * Strong hands-on experience with Python for data analysis and modeling (pandas, numpy, scikit-learn, etc.). * Practical experience developing Machine Learning models (regression, classification, decision trees, ensembles, clustering, and simple neural networks), including understanding their advantages, limitations, and trade-offs. * Experience in data preparation and engineering (handling missing values, normalization, encoding, feature selection, etc.). * Experience with relational databases and proficiency in SQL for data extraction and manipulation. * Experience with at least one major cloud platform (AWS, Azure, or GCP), including data and/or machine learning services (storage, job orchestration, managed notebooks, inference services). * Basic knowledge and experience with Generative AI (using LLM APIs, prompt engineering, participation in POCs/pilots). * Experience with code versioning (Git) and software development best practices (environments, basic testing, reproducibility). * Ability to translate technical results into clear and objective business insights. **Nice-to-have qualifications:** * Advanced experience with Generative AI, including RAG, frameworks such as LangChain/LangGraph, and building agents or orchestrated workflows using LLMs. * Experience in MLOps, covering model deployment, monitoring, and observability in production. * Knowledge of Deep Learning architectures (RNNs, CNNs, transformers) and experience with frameworks like TensorFlow, Keras, and PyTorch. * Experience with modern data environments—such as cloud-based data lakes and data warehouses—and pipeline orchestration tools. * Experience handling high-volume data (big data) and complex enterprise environments, including multi-squad and multicloud setups. **Where you’ll work:** * This is a fully remote position. **Employment modalities:** * CLT; * Cooperative; **What we offer:** **Meal/Voucher Allowance:** We use the EVA multi-benefit card—a credit-based card—to provide flexibility for your daily purchases.* **Unimed Health Plan:** No co-payment or waiting period for the primary holder. Dependents—including children, spouses, or stepchildren—can be added with co-payment.* **Uniodonto Dental Plan:** Option to include dependents with minimal per-person deductions.* **TotalPass:** For physical wellness—access to gyms and sports activities. **Zenklub:** For mental wellness—two free monthly consultations and affordable rates for additional sessions. **Referral Program:** Refer talent to join Zallpy and earn bonuses between R$2,500 and R$5,000! **Life Insurance:** Protection coverage for you and your family. **Childcare Assistance:** Financial support for employees with children aged 4 months to 6 years who earn up to three salary floors of the category.* **Baby Zallpy:** A special celebration for new babies of Zallpers! **Volunteer Communities:** We encourage participation in three internal communities: Diversity, Equity & Inclusion; Sports & Movement; and Technology. **Education Institution Discounts:** Access benefits for undergraduate, graduate, short courses, and **language learning**, via partnership agreements. ✈️ **Experiences & Development:** Opportunities to participate in trips, workshops, events, and team-building activities. **BP Support:** Personalized support and guidance from our Business Partners team. ***Benefits apply only to CLT modality*** **Whether in your personal or professional life, Zallpy cares about your growth and well-being! Join us on this journey!** **Job Code:** e984

Source:  indeed View original post
João Silva
Indeed · HR

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