Full Stack Data Scientist

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🕒 Junho 10

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rockITdata

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

Artificial Intelligence • Consulting • Technology

A rockITdata é uma empresa de consultoria especializada em fornecer soluções estratégicas e suporte nas áreas de IA, Dados e Análise, Transformação de TI e Consultoria de Gestão. A empresa foca em aproveitar tecnologias baseadas em nuvem e dirigidas por IA para transformar experiências de clientes e otimizar operações. Sua expertise reside em atender indústrias dos setores comercial e público, oferecendo soluções sob medida que integram tecnologias de uso dual para impulsionar o crescimento dos negócios e melhorar o engajamento dos clientes. A rockITdata se compromete a entregar soluções inovadoras que empoderam equipes e otimizam relações com clientes por meio de parcerias tecnológicas avançadas.

Descrição

• Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sources. • Implement strategies for data quality assessment and assurance to ensure reliable analysis outcomes. • Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the data. • Create interactive visualizations and dashboards to effectively communicate findings to stakeholders. • Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques. • Optimize model performance through feature engineering, hyperparameter tuning, and model selection. • Build scalable and efficient software solutions for deploying machine learning models into production environments. • Integrate data science workflows with existing systems and applications to enable seamless data-driven decision-making. • Establish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvement. • Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders.

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. • Proven experience in data preprocessing, exploratory data analysis, and feature engineering. • Expert-level skills in data visualization platforms (e.g. Qlik, Tableau, Power BI) • Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis. • Strong understanding of machine learning algorithms and statistical modeling techniques. • Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. • Experience in developing and deploying end-to-end data science solutions in cloud environments (e.g., AWS, Azure, GCP). • Solid understanding of software engineering principles and best practices for building scalable and maintainable code.

🏖️ Benefícios

• Professional development opportunities • Remote work options