Data Scientist

🕒 September 23

🌐 Argentina, Brazil, +4 more countries – Remote

🇦🇷 Argentina – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇨🇱 Chile – Remote 🇵🇪 Peru – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Azumo

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Azumo is a leading software development company that specializes in nearshore services. The company offers a range of solutions, including software development, dedicated teams, staff augmentation, and virtual CTO services. Azumo is particularly known for its expertise in artificial intelligence, mobile app development, data engineering, and cloud services. The company prides itself on delivering high-quality, scalable, and innovative software solutions tailored to the specific needs of various industries, including fintech, game development, healthcare, and media. With a focus on assembling talented developers from Latin America, Azumo ensures time zone alignment and seamless communication with clients in North America. Their commitment to quality and client satisfaction is evidenced by numerous awards and positive client testimonials from prestigious organizations like Facebook, Twitter, and Discovery Channel.

📋 Description

• Translate business decisions into measurable questions, success criteria, baselines, and improvement targets • Select and build supervised, unsupervised, and deep learning methods using CNNs, Transformers, and PyTorch • Adapt pretrained and open-weight models using LoRA, QLoRA, or PEFT when appropriate • Design baselines, holdouts, offline and online evaluations, and report uncertainty • Perform error analysis across data, label, method, and framing problems • Package, document, and hand over models with operational success metrics • Work within client repositories and environments, including standups and occasional customer calls • Collaborate in client engagements subject to SOC 2 and potentially HIPAA requirements

🎯 Requirements

• 5+ years building and validating models against real decisions • Python as primary language • Testing, code review, Git, containers, and version control for data and experiments • Supervised and unsupervised machine learning methods • CNNs and Transformers • Hands-on PyTorch or equivalent framework, including training, custom modules, and optimization • Expert command of pandas, NumPy and scikit-learn • Statistics and experimental design: baselines, holdouts, significance, and confidence assessment • Fine-tuning or adaptation of pretrained models • Error analysis distinguishing data, label, method, and framing problems • Cloud experience with AWS, GCP or Azure and AI services such as Amazon SageMaker, Google Vertex AI or Azure Machine Learning • Active use of AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot • Clear written and spoken English, C1 or above • Bachelor's or Master's degree in Computer Science, Data Science, or related field, or equivalent professional experience

🏖️ Benefits

• Paid time off (PTO) • U.S. Holidays • AI Training • Mentored career development • Profit sharing • $US remuneration

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