Senior Data Scientist – Artificial Intelligence

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.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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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Transform complex business challenges into scalable, modern, and results-driven data solutions • Develop and evaluate statistical and Machine Learning models • Build Generative AI solutions using RAG, embeddings, vector search, and prompt engineering • Prepare data, perform feature engineering, and train and validate models • Take analytical or AI solutions from prototype to production • Ensure quality, monitoring, security, performance, cost efficiency, and governance throughout the model lifecycle • Work with structured and unstructured data • Collaborate with Product Managers, Architects, Engineers, Data Governance teams, and business subject-matter experts • Translate real-world needs into scalable and reliable solutions • Contribute to Keyrus Data Science, Machine Learning, and Artificial Intelligence projects

🎯 Requirements

• Bachelor's or postgraduate degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field • More than 5 years of professional experience developing and deploying Data Science, Machine Learning, or Artificial Intelligence solutions • Strong knowledge of Python, including pandas, NumPy, scikit-learn, and relevant Deep Learning or Generative AI frameworks • Practical experience in data preparation, feature engineering, model training, validation, error analysis, and performance measurement • Experience taking analytical or AI solutions from prototype to production • Practical knowledge of Git, testing, code review, documentation, APIs, and CI/CD practices • Experience with cloud-based data and AI platforms, preferably SageMaker, Databricks, or equivalent technologies • Familiarity with MLOps practices, including experiment tracking, model versioning, deployment automation, and monitoring • Practical understanding of Large Language Models (LLMs), embeddings, vector databases, RAG, and the evaluation of GenAI solutions • Strong communication skills and the ability to collaborate with Product Managers, Architects, Engineers, Data Governance teams, and business subject-matter experts • Autonomy, critical thinking, and a commitment to continuous learning

🏖️ Benefits

• Professional development opportunities in Data Science, Machine Learning, and Artificial Intelligence • Remote work • International and multicultural environment • Collaboration with teams across different specialties, functions, and geographies • Knowledge sharing and continuous improvement • Exposure to global projects and complex business challenges