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Data scientist

Belo Horizonte
Data Scientist
Anunciada dia 13 março
Descrição

Data Scientist - Our Inbound Team builds highly scalable Machine Learning and Computer Vision systems to determine item attributes (color, material, style) and verify merchandise authenticity at scale.We are looking for a Senior Applied Scientist to own the development and deployment of ML solutions and influence the technical direction of the team.What Youll Do- Develop and deploy Computer Vision and Machine Learning solutions to solve high-impact business problems- Build clean, efficient, and scalable production-grade code- Analyze large-scale datasets to extract actionable insights- Apply state-of-the-art ML methodologies (CNNs, Transformers, GANs, etc.)- Design and manage experimentation frameworks (A/B testing, feature engineering, training/serving pipelines)- Own key system components and influence architectural decisions- Partner closely with Product, Engineering, and Tech Leads- Mentor other team members and elevate technical standards- Contribute to intellectual property through patents and publications Minimum Qualifications- 5+ years of industry experience in Computer Vision and Applied Machine Learning- Masters degree or PhD in CS, ML, Statistics, or related field or 8+ years of equivalent industry experience- 3+ years building, deploying, and managing ML/DL models in production at scale- Deep understanding of CV & ML techniques (CNNs, Transformers, GANs, optimizers, regularization)- Strong knowledge of experiment design & best practices (A/B testing, feature engineering, pipelines)- Strong Python expertise- Extensive experience with scientific & ML libraries (NumPy, Pandas, PyTorch, TensorFlow, Keras, Scikit-Learn)- Strong data engineering skills with large-scale datasets- Experience with experiment automation tools (Ray Tune, Weights & Biases, Kubeflow)- Experience with cloud platforms (AWS, GCP, or Azure) Preferred Qualifications- PhD in CS, ML, AI, Statistics, OR, or related field- Experience applying ML in retail or real-world business contexts- Familiarity with MLOps pipelines and tooling- Strong ownership mindset and impact orientation Work Model- 100% Remote (Brazil-based candidates only)- Contractor (PJ)- Paid in USD/hour- Global, highly technical teamThis is a role for someone who not only builds high-quality ML models, but also influences direction, mentors others, and drives real business impact at scale.

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