Key Facts

Remote From:

Full time

Portuguese

Hard Skills

Predictive Modeling Model Building Model Validation Machine Learning Data Preprocessing Analytics System Optimization Controlled Experiments Analytical Procedures Statistical Hypothesis Testing Machine Learning Feature Engineering Cross-Functional Collaboration Evidence-Based Practice Stakeholder Communications Continuous Improvement Process

Other Skills

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Communication

Roles & Responsibilities

Proficiency in Python and modern ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) for model development
Experience translating business problems into data-driven solutions and developing predictive models
Ability to design, run, and interpret experiments; validate hypotheses with evidence
Experience preparing and analyzing data for model development and monitoring deployed solutions

Requirements:

Understand business problems and translate them into data-driven solutions
Propose analytical approaches and predictive models to optimize results
Develop and validate machine learning models
Structure experiments and validate hypotheses with evidence

AM53 Smart Solutions

About AM53 Smart Solutions

ABOUT US AM53 Smart Solutions is present in the Payment Media market since 2010. Having a team of Issuer and Acquirer specialists, we have developed Back and Front Office Applications in different platforms according to the needs of our customers, providing specialized knowledge in VeriFone's PAYware CMS Solution. Process Optimization and Productivity are the main pillars of our work, where combined with our business knowledge and the latest technology trends, allows us to deliver excellent results in all of our clients' activities. WHAT WE DO Consulting and Development. All for the success of your Payment operation. We also work like Head Hunting allocating professionals specialized in IT.

Company type: Startup

Founded: 2018

Company size: 11 - 50

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Job description

Responsabilidades e atribuições:

Compreender problemas de negócio e traduzi-los em soluções orientadas a dados.
Propor abordagens analíticas e modelos preditivos para otimização de resultados.
Desenvolver e validar modelos de Machine Learning.
Estruturar experimentos e validar hipóteses com base em evidências.
Preparar e analisar dados para desenvolvimento de modelos.
Acompanhar a performance das soluções implementadas e propor melhorias contínuas.
Atuar em parceria com áreas de negócio, produto e tecnologia.