Data Scientist (Cientista de Dados Pleno)

Company Overview

Dadosfera is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities—previously available only to tech giants like Meta, Amazon, Alphabet, and Microsoft—into the hands of small and medium-sized businesses. By democratizing access to these technologies, we empower our clients to accelerate business opportunities through AI-powered Data Apps.

Our platform minimizes the time spent on cloud management and streamlines the entire data lifecycle—from collection and exploration to processing and interaction—allowing clients to focus on their business goals. Built on a high-growth SaaS model, Dadosfera offers tailored solutions that meet real business needs.

What sets Dadosfera apart is our innovative focus on speed, scalability, and flexibility, combining big data storage with advanced analytics to drive strategic decision-making. Leveraging years of experience with data platform implementations on foreign public clouds, we now deliver a cost-effective, locally adapted solution tailored for both Brazilian and global markets. By blending deep expertise with localized infrastructure, Dadosfera provides a powerful, efficient tool that optimizes corporate data management and drives data-driven transformation.

About The Job

As a Data Scientist, you will leverage data intelligence and machine learning to analyze Big Data and generate detailed insights on products and users. You will play a key role in developing data-driven solutions, collaborating with cross-functional teams, and contributing to a culture of continuous improvement and innovation.

Responsibilities

• Analyze and explore large datasets to extract meaningful insights.
• Develop and maintain dashboards and data visualizations to support decision-making.
• Process, clean, and transform large-scale data efficiently.
• Build and optimize machine learning models, including neural networks and recommendation systems.
• Ensure the deployment and scalability of data-driven solutions.
• Collaborate with cross-functional teams to align data solutions with business objectives.
• Contribute to continuous improvement by implementing best practices in data engineering and machine learning.
  
  

Minimum Qualifications

• Bachelor's degree in a STEM field.
• 2+ years of experience in data science and machine learning.
• Proficiency in Python and SQL for data manipulation and analysis.
• Experience developing and deploying machine learning models.
• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Knowledge of cloud computing platforms, preferably AWS (S3, EC2, IAM, SageMaker).
• Understanding of statistical analysis and predictive modeling.
• Experience working with version control systems (Git).
• Strong grasp of data lake and data warehouse concepts.
• Higher English proficiency.
  
  

Preferred Qualifications

• 3+ years of experience in data science and big data analytics.
• Experience with NoSQL databases and distributed computing.
• Proficiency in Scala or another functional programming language.
• Hands-on experience with cloud services such as AWS Lambda, VPC, SNS, SQS, and RDS.
• Experience with CI/CD pipelines for automated model deployment.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Experience building ETL/ELT pipelines using tools like Apache Airflow, Apache NiFi, or Apache Spark.
• Intermediate proficiency in Spanish
  
  

At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination. Do you share our values? Then don’t wait—apply today!

Dadosfera is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities—previously available only to tech giants like Meta, Amazon, Alphabet, and Microsoft—into the hands of small and medium-sized businesses. By democratizing access to these technologies, we empower our clients to accelerate business opportunities through AI-powered Data Apps.