Keyrus
1001 - 5000 employees
Founded 1996
🤝 B2B
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.
Senior Data Scientist
🕒 March 25
🗣️🇧🇷🇵🇹 Portuguese Required
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Keyrus
1001 - 5000 employees
Founded 1996
🤝 B2B
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
• Serve as a Senior Full-Stack Data Scientist • Lead ML projects from raw data through to production • Develop and maintain data and ML pipelines • Build, deploy, and monitor Machine Learning models • Work with large volumes of data in distributed environments • Provide technical leadership for initiatives
🎯 Requirements
• Experience as a Senior Data Scientist with end-to-end ownership • Strong proficiency in Python, SQL, and PySpark • Experience with pipelines, model deployment, and monitoring • Hands-on, self-driven working style • Clear communication between technical and business stakeholders • Advanced/Fluent English required
🏖️ Benefits
• Strong commitment to diversity and inclusion • Non-discriminatory hiring process • Support and best-practice guidance in data engineering and MLOps
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