Top Data Science Jobs in Brazil

Provide technical solutions and consulting for Apache Spark/Machine Learning issues, assisting customers in utilizing Databricks for analytics and AI tasks while performing troubleshooting and performance tuning.

Lead Mars' global Responsible AI Impact Assessment process while collaborating with teams to embed responsible AI practices, ensuring alignment with regulations and fostering innovation.

The Technical Leader will develop scalable software solutions, lead a team, oversee technical operations, and ensure project quality and timelines.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

The Solutions Architect drives technical strategy for major accounts, fostering adoption of Databricks products and mentoring team members.

As a Staff Technical Solutions Engineer, you will resolve customer issues related to Apache Spark, provide guidance on best practices, and assist customers in optimizing their use of Databricks products.

As a Data Scientist Intern, you'll conduct data projects, collaborate with teams to enhance client marketing strategies, and build strong client relationships.

As a Data Consultant, you'll help clients use advanced analytics and AI to innovate strategies and drive business decisions through data insights.

The Manager of Data and AI Transformation will drive the AI/data strategy, oversee transformative programs, and enhance data accessibility for improved insights generation.

Lead the global points generation strategy for Club B, improve investment efficiency, collaborate across countries, and develop AI-driven product solutions.

The Senior Data Scientist will develop machine learning models, conduct data analyses, optimize credit models, and lead A/B tests, focusing on risk quantification and user onboarding enhancement.

The FBS Data Science Director will lead strategic analytics initiatives, manage a multicultural team, and collaborate with stakeholders to drive impactful decisions in insurance.

Lead a team of data scientists, manage projects, and develop data-driven solutions to enhance company operations and customer experiences.

Lead design and deployment of ML models, analyze datasets, mentor juniors, and collaborate with multi-disciplinary teams to solve financial problems.

This role involves building data pipelines, managing data infrastructure, optimizing databases, and applying advanced statistical methods and machine learning models to drive business insights.

The role involves developing machine learning algorithms for financial applications, collaborating with experts, building data pipelines, and communicating insights. Requires deployment of end-to-end data science solutions, especially in pricing optimization and forecasting within Azure cloud infrastructure.

The role involves developing geospatial solutions, managing data storage, and collaborating on model deployment to enhance business decision-making.

The Senior Data Scientist will develop and fine-tune Visual Language Models for multimodal document understanding, collaborating with teams to deploy models and improve their performance.

Lead Data Scientist will design and implement AI solutions, managing a portfolio of AI projects with a focus on improving healthcare outcomes using analytics.

Develop and grow client relationships while managing analytics solutions leveraging large datasets to improve business performance. Collaborate across stakeholders to deploy innovative analytical models and communicate results effectively.

Data Scientist position focusing on data analysis and predictive modeling using Python or R. Requires experience with data visualization tools and big data technologies.

The role involves developing predictive models for product assortment optimization in retail, driving revenue and customer satisfaction through analytics and collaboration with business teams.