Senior Data Scientist

Job not on LinkedIn

🕒 2 days ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Spassu

Spassu

1001 - 5000 employees

Founded 1992

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Spassu is a Brazilian company specializing in end-to-end digital transformation solutions. With over 30 years of experience, Spassu focuses on maximizing value delivery by simplifying processes and improving decision-making throughout its partners' journeys. The company employs experts in user experience, design thinking, and agile methodologies to co-create innovative solutions that meet the needs of diverse industries. By leveraging a multidisciplinary approach and applying best practices like ITIL and LEAN, Spassu facilitates continuous improvement and ensures the effective implementation of IT services across various sectors.

📋 Description

• Collect, analyze, and interpret large datasets to extract valuable insights and support strategic decision-making • Develop and implement statistical models and algorithms to solve complex problems and forecast trends • Conduct exploratory data analysis to identify relevant patterns, trends, and insights • Build and maintain data pipelines to automate data ingestion, processing, and analysis • Develop data visualizations and reports to communicate results and insights clearly • Collaborate with software engineers, business analysts, and stakeholders to understand data analysis requirements and objectives • Evaluate and select tools and technologies for data analysis and visualization • Keep up with trends and advances in data science and apply this knowledge to improve the team’s practices and techniques • Prepare progress reports for the Client’s management

🎯 Requirements

• Bachelor’s degree in Engineering or Information Technology fields, such as Computer Science, a Technology degree, Systems Analysis, or related areas • Preferred experience: 5 years working on application development teams • Experience with Data Intelligence projects in the Oil and Gas Exploration and Production sector • Knowledge and proficiency in the languages and technologies used in the work environment • Expertise in statistics, machine learning, and data visualization techniques

🏖️ Benefits

• Health Insurance • Dental Insurance • Life Insurance • Meal or Food Allowance • Transportation Allowance • Wellhub (formerly Gympass)

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