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Senior Data Scientist (MLOps)

Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22, 64000-000, BR
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Job Summary: Leega is seeking a Senior Data Scientist passionate about data to solve complex problems and impact business decisions within the Data and Analytics team, developing and validating statistical and machine learning models. Key Highlights: 1. Inspiring culture and values present in daily life 2. Dynamic and collaborative company that invests in continuous training 3. 100% remote work Leega is a company focused on delivering efficient and innovative service to its clients. This commitment extends to our most important asset: our people! Our culture is inspiring, and our values are embedded in everyday practices: ethics and transparency, quality excellence, teamwork, economic, social and environmental responsibility, human relationships, and credibility. We seek innovative professionals who thrive on challenges and focus on results. If you’re looking for a dynamic and collaborative company that invests in its employees through continuous training, Leega is the place for you! **>> LEEGA IS FOR EVERYONE**, and we would be thrilled to welcome you to our team. Join us in shaping our story and building our future. Apply now to our open positions! **Responsibilities and Duties** We are seeking a Senior Data Scientist to join our Data and Analytics team. We are looking for someone with strong academic background and hands-on experience handling large-scale datasets, statistical modeling, and applied machine learning in the **financial market, credit bureaus, or specialized consulting firms.** If you are passionate about data, enjoy solving complex problems, and want to be part of a strategic team driving business decisions, this role is for you! * Develop, train, and validate statistical and machine learning models to support decision-making; * Analyze large volumes of structured and unstructured data, ensuring data quality and consistency; * Design and maintain data pipelines and modeling processes; * Collaborate with business areas to understand challenges and formulate data-driven solutions; * Document and present analysis and model results to both technical and non-technical stakeholders; * Support analytical model governance and reproducibility. **Requirements and Qualifications** * Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Economics, or related fields; * **Proven prior experience in financial institutions, credit bureaus, and/or analytical consulting firms;** * Proficiency in SQL and Python for data manipulation, analysis, and modeling; * Hands-on experience developing and validating machine learning models (classification, regression, clustering, etc.); * Knowledge of Text Analytics, Natural Language Processing (NLP), or Generative Artificial Intelligence. * Familiarity with libraries such as pandas, scikit-learn, statsmodels, among others; * Strong analytical ability, critical thinking, and communication skills with stakeholders; * Solid and proven experience in AI, NLP, and ML. * **Experience with MLOps frameworks.** **Additional Information** **Preferred:** * Experience with code versioning tools (Git); * Knowledge of cloud environments (e.g., AWS, GCP, or Azure); * Experience with MLOps frameworks and deploying models into production; * Technical English for reading and writing. * **100% remote work** At Leega, we don’t just deliver lines of code or dashboards. We transform complex technological challenges into real-world impact. With over 15 years of experience, we combine deep human expertise with the speed of Artificial Intelligence to build solutions that transform businesses—and, above all, improve people’s lives. We are a technology consultancy—agnostic and strategic—with offices in Brazil and Europe. Our team of over 580 multidisciplinary talents lives and breathes the Data Analytics, Cloud, and AI ecosystem. We master the full stack—from Governance to Engineering—to ensure technology is not just a tool, but a sustainable competitive advantage for the world’s leading enterprises.

Source:  indeed View original post
João Silva
Indeed · HR

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