Data Scientist

🔥 45 minutes ago

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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 outcome-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, train models, validate results, analyze errors, and measure performance • Take analytical or AI solutions from prototype to production • Ensure quality, monitoring, security, performance, cost control, and governance throughout the model lifecycle • Collaborate with Product Managers, Architects, Engineers, Data Governance teams, and business specialists • Influence decision-making and build trusted relationships with stakeholders • Contribute to AI assistants, forecasting solutions, recommendation systems, or decision-support products • Work with agentic workflows, function calling, and multi-step AI applications

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field • Over 5 years of professional experience developing and deploying data science, machine learning, or AI solutions • Strong proficiency in Python, including pandas, NumPy, scikit-learn, and relevant deep learning or generative AI frameworks • Hands-on 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 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 LLMs, embeddings, vector databases, RAG, and GenAI solution evaluation • Excellent communication skills with technical and non-technical audiences • Ability to translate business needs into practical, scalable solutions • Analytical mindset, autonomy, critical thinking, and a strong desire for continuous learning

🏖️ Benefits

• Culture of equality • Diversity and multiculturalism • Collaboration across specialties, functions, and geographies • Knowledge sharing and continuous improvement • Opportunities to work with people from different parts of the world