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Experian

Venture capital arm funding data startups

Data Scientist 1

Computer VisionConfirmed live in the last 24 hours
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listedRemote

About the Job

Requirements

  • A completed higher-education degree in Computer Science, Engineering, Data Science, Statistics, or a related field.
  • Solid experience in Computer Vision, Machine Learning, and Deep Learning.
  • Advanced proficiency in Python and PyTorch.
  • Knowledge of MLOps, model deployment, and cloud computing using AWS, Azure, or GCP.
  • Experience with SQL and NoSQL databases and large volumes of data.
  • Analytical problem-solving ability and a collaborative approach.
  • Strong experience in Computer Vision, Deep Learning, and Machine Learning.
  • Proficiency in Python and the data science and artificial intelligence library ecosystem.
  • Advanced experience with PyTorch and knowledge of TensorFlow and Keras.
  • Knowledge of MLOps, model deployment, and cloud architectures.
  • Experience processing large volumes of data and working with SQL and NoSQL databases.
  • Strong analytical, critical-thinking, and complex problem-solving abilities.
  • Ability to work collaboratively in multidisciplinary, results-oriented environments.

Responsibilities

  • Develop Computer Vision models for detection, classification, segmentation, and tracking of objects in images and videos.
  • Design, train, and optimize deep neural networks using modern Deep Learning architectures, including CNNs, Transformers, and generative models.
  • Build and maintain pipelines for preparation, processing, annotation, and augmentation of visual data, ensuring the quality of training datasets.
  • Experiment with, evaluate, and validate models; define metrics and monitor performance indicators.
  • Apply transfer learning, fine-tuning, and hyperparameter optimization to maximize model efficiency.
  • Develop scalable, high-quality Python code following software engineering, version control, and testing practices.
  • Implement MLOps processes for model versioning, monitoring, packaging, and deployment in production environments.
  • Optimize and compress models for execution in processing-constrained environments, including edge and embedded devices.
  • Use cloud computing platforms and GPU-based infrastructure to train models and process large volumes of data.
  • Partner with multidisciplinary product, engineering, and business teams to understand problems, propose solutions, and generate impact through data and artificial intelligence.
  • Continuously evolve solutions by following research, trends, and new technologies related to artificial intelligence, Machine Learning, and Computer Vision.
  • Share technical knowledge and contribute to the training and development of other team members.

Desired Qualifications

  • Postgraduate study or specialization in Artificial Intelligence, Data Science, or related fields.

About the Company

Experian

Venture capital arm funding data startups

Experian Ventures is the venture capital arm of Experian, a global information services company. It provides investment capital and strategic partnerships to startups, helping them grow by leveraging Experian's data assets, technology, and global network. The fund focuses on backing entrepreneurs who can disrupt data- and tech-driven markets, using Experian's platforms and reach to accelerate portfolio companies. Unlike standalone funds, it differentiates itself with access to Experian's scale, data resources, and worldwide offices, enabling closer collaboration and faster go-to-market support. The goal is to fund and mentor startups that can shape the future of information services while expanding Experian's ecosystem and influence across regions.

Company size
1-10
Company stage
Not listed
Total funding
$82M
Headquarters
Costa Mesa, CA
Founded
1995

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