Data Scientist

• Develop models to optimize banking or acquiring processes.
• Analyze large volumes of transactional data to identify patterns, trends, and opportunities to improve processes.
• Implement customer segmentation and behavioral prediction algorithms to increase the efficiency and personalization of the services offered.
• Work closely with engineering, product, and business teams to define and implement data solutions that meet the needs of customers and the company.
• Present complex insights clearly and effectively to non-technical stakeholders, supporting strategic decision-making.
• Mentor and provide technical guidance to less senior members of the data science team.

Senior Data Scientist

• Develop, train, and validate machine learning models applied to real-world business problems
• Work with large volumes of data stored in the corporate AWS Data Lake
• Use the Databricks ecosystem for model experimentation, training, and operationalization
• Build data pipelines and model training pipelines
• Use Databricks AutoML capabilities to accelerate experimentation and model generation
• Perform feature engineering and data preparation for analytical models
• Implement and maintain machine learning model deployment and scoring processes in production
• Monitor model performance, assessing degradation and the need for retraining
• Collaborate with data engineering, BI, and data product teams
• Support the evolution of the company’s intelligence platform

• Transform complex business challenges into scalable, modern, and results-driven data solutions
• Develop and evaluate statistical and Machine Learning models
• Build Generative AI solutions using RAG, embeddings, vector search, and prompt engineering
• Prepare data, perform feature engineering, and train and validate models
• Take analytical or AI solutions from prototype to production
• Ensure quality, monitoring, security, performance, cost efficiency, and governance throughout the model lifecycle
• Work with structured and unstructured data
• Collaborate with Product Managers, Architects, Engineers, Data Governance teams, and business subject-matter experts
• Translate real-world needs into scalable and reliable solutions
• Contribute to Keyrus Data Science, Machine Learning, and Artificial Intelligence projects

Senior Data Scientist – Artificial Intelligence

• Develop and lead the organization's learning measurement and analytics strategy aligned with business objectives and performance outcomes
• Define and maintain standards for evaluating learning programs, including data collection methods, measurement frameworks, and reporting requirements
• Ensure measurement and analytics practices comply with organizational policies, governance standards, regulatory requirements, and data privacy guidelines
• Conduct compliance and quality checks on methodologies, data collection, reporting processes, and analytics outputs
• Design and implement scalable evaluations measuring behavior change, business impact, and learning effectiveness using Kirkpatrick Levels 3 and 4 and Phillips ROI
• Build and manage learning analytics infrastructure and measurement platforms such as Performativ and Qualtrics
• Integrate learning data with operational, talent, and business performance metrics
• Conduct ROI analyses and advanced evaluation studies
• Design and execute structured evaluations, pilot programs, controlled experiments, and outcome studies
• Define evaluation methodologies, sampling approaches, comparison groups, and success metrics
• Perform statistical analyses using SPSS, Python, R, or equivalent platforms
• Develop executive-level dashboards, scorecards, and reports
• Translate complex analytical findings into recommendations and business insights for senior leaders and stakeholders
• Establish consistent measurement language and reporting standards
• Partner with stakeholders to define success measures, evaluation strategies, and business impact goals
• Provide consultation on measurement design, data collection, and interpretation of analytical findings
• Develop reusable tools, templates, frameworks, and best practices
• Conduct external benchmarking and research
• Build organizational capability through coaching, knowledge sharing, and stakeholder education
• Influence leaders and business partners to use data, evidence, and measurement practices in decision-making

Learning Measurement & Analytics Lead

• Develop, evaluate, and implement Artificial Intelligence solutions using Python, Machine Learning, Generative AI, and LLMs
• Develop AI agents and solutions involving RAG, embeddings, tool/function calling, and orchestration workflows
• Integrate applications with corporate environments and Microsoft Azure services
• Support the evolution of solutions into production environments
• Evaluate performance, reliability, security, latency, and costs
• Identify opportunities to apply AI to business problems

Senior Data Scientist / AI Engineer

• Develop, validate, monitor, and enhance statistical, predictive, and Machine Learning models
• Explore, analyze, and interpret large volumes of structured and unstructured data
• Transform data into actionable insights to support decision-making
• Develop analytical studies and models focused on customer behavior, patterns, and business opportunities
• Build and implement scalable analytical solutions with quality, efficiency, and reliability
• Conduct exploratory analyses, hypothesis tests, and impact assessments
• Identify opportunities to optimize processes through Data Science, Statistics, and Artificial Intelligence
• Integrate data from different internal and external sources, ensuring consistency and quality
• Partner with Business, Data Engineering, and Technology teams
• Monitor models in production and propose continuous improvements
• Research and apply new methodologies, algorithms, and technologies in AI, Machine Learning, and Analytics

• Serve as the focal point within the Franchises and Stores ecosystem for the design, modeling, and evolution of advanced data science solutions
• Translate complex business needs into robust, pragmatic technical solutions
• Ensure the pragmatic, high-impact delivery of Machine Learning models, meeting deadlines while maintaining high technical quality
• Act as a technical reference, providing ongoing support and contributing to the team’s development and training
• Identify opportunities for continuous improvement and innovation in workflows and data products
• Develop solutions aligned with strategic goals, generating tangible value and maximizing retail operational performance
• Develop and enhance predictive and traditional Machine Learning models
• Create and implement resource optimization solutions, including workforce allocation, shift schedule simulators, and ideal staffing models
• Explore and apply Generative AI initiatives
• Engage and negotiate with business-area stakeholders, establishing operational and tactical agreements

Data Science Specialist I – Stores and Franchises

• Work directly on consulting projects, from data analysis and modeling through to delivering value for the client
• Build internal tools and applications to accelerate projects or address customized client needs
• Develop technical outputs and bring them to the decision-making table, participating in strategic discussions with clients
• Work across multiple industries and business contexts, with a fast-paced and continuous learning curve

• Develop automations and data pipelines using Python, PySpark, and SQL to modernize processes and reduce manual work
• Architect and develop end-to-end Machine Learning models, from data exploration and feature engineering through deployment, production monitoring, and retraining
• Work with large volumes of data in distributed environments, ensuring performance, quality, and traceability
• Work on Fraud, AML, Lead Scoring, and Churn projects, creating business-focused data and ML solutions
• Serve as a technical reference, supporting junior professionals through code reviews, best practices, and guidance in Data Science and ML
• Lead meetings and technical interactions in English
• Transform legacy processes into automated, robust, and scalable solutions

Senior Data Scientist – Fluent English

• Manage and monitor project progress, ensuring deadlines and deliverables are met
• Coordinate multiple stakeholders and teams involved in the initiative
• Lead project tracking, alignment, and governance activities
• Support the organization and consolidation of information from different sources
• Facilitate communication among teams and stakeholders across different markets and regions
• Identify risks, blockers, and areas requiring attention, driving action plans when necessary
• Prepare and monitor status reports, metrics, and other project tracking materials
• Participate in alignment meetings with regional and international teams

Data Scientist jobs in Brazil

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist – Artificial Intelligence

Learning Measurement & Analytics Lead

Senior Data Scientist / AI Engineer

Senior Data Scientist

Data Science Specialist I – Stores and Franchises

Data Scientist

Senior Data Scientist – Fluent English

Project Manager – Data Projects