Cientista de Dados Pleno

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados Pleno based in Brazil.** This role is an opportunity to transform complex data into strategic insights that support better decision-making in the healthcare sector. You will work at the intersection of data analysis, business intelligence, and machine learning to create impactful solutions. The position focuses on building predictive models, developing dashboards, and ensuring reliable data governance. You will collaborate with different teams to translate business challenges into scalable analytical solutions. The role requires strong technical expertise, curiosity, and the ability to communicate insights clearly. Working in a remote environment, you will contribute directly to initiatives that improve operational efficiency and innovation. This is a chance to leverage data and technology to create meaningful impact in healthcare. ### Accountabilities: The role is responsible for transforming data into actionable intelligence by combining analytical expertise, data modeling, and visualization skills. You will contribute to the development of data-driven solutions that support strategic decisions and improve business outcomes. - Analyze, interpret, and transform complex datasets into strategic insights that support business decision-making. - Develop predictive models using Data Science and Machine Learning techniques to support forecasting and strategic planning. - Create analytical indicators, reports, and dashboards that provide visibility into key business performance metrics. - Apply data modeling best practices, including Star Schema, dimensions, facts, and Slowly Changing Dimensions (SCDs), ensuring scalable analytical solutions. - Build, enhance, and maintain Power BI dashboards with a focus on performance, usability, and data visualization quality. - Perform exploratory data analysis and apply statistical methods to identify trends, opportunities, and business insights. - Collaborate with stakeholders to understand data needs and translate requirements into effective analytical solutions. - Support data governance initiatives by promoting quality, consistency, and reliability across information assets. ## **Requirements:** The ideal candidate is a data professional with strong analytical capabilities, experience with business intelligence tools, and a solid foundation in programming, statistics, and machine learning. You should be comfortable working with large datasets and communicating technical insights to different audiences. - Bachelor’s degree in Administration, Economics, Statistics, Engineering, Data Science, Computer Science, or related fields. - Advanced SQL skills, including complex queries, joins, CTEs, window functions, and query optimization. - Strong experience with Power BI, including DAX, Power Query, data modeling, and visualization best practices. - Experience with Git for code versioning and collaborative development workflows. - Knowledge of data modeling concepts such as Star Schema, fact and dimension tables, and SCDs. - Proficiency in Python for data analysis, manipulation, and analytical model development. - Knowledge of applied statistics and exploratory data analysis techniques. - Experience or understanding of supervised and unsupervised Machine Learning methods. - Ability to create compelling data storytelling and clearly communicate insights to business stakeholders. - Experience working with Data Warehouse and/or Data Lake environments. - Familiarity with tools and technologies such as DBT, Databricks, Pandas, NumPy, Scikit-learn, XGBoost, MLflow, or MLOps practices is a plus. - Knowledge of Generative AI, LLMs, and applications based on language models is considered an advantage. - Strong communication skills, analytical thinking, collaboration mindset, and ability to solve complex problems. ## **Benefits:** - Competitive compensation pa…