Job description
Data Scientist Job Responsibilities: Lead technical projects and mentor junior team members, providing guidance on data science methods, coding best practices, and architectural decisions to ensure high-quality results Analyze and interpret complex procurement datasets, identify optimization opportunities, and translate findings into scalable, data-driven solutions supporting strategic decision-making Collaborate closely in a global, cross-functional innovation team, working with internal stakeholders and experts to deliver cutting-edge solutions in an agile environment Skill Set: Must Have 10+ years of experience in software, data & related fields. Engineering degree in Computer Science or Data Science related field. 5+ years of experience with classic time series analysis tools (e.g. ARIMA, State Space Models, VAR, Error Correction Models etc.) 5+ years of experience with machine learning models including Decision Tree, Regression, Gradient Boosting, and Deep Learning 5+ years of experience of Python / R coding 5+ years of experience with SQL coding Strong working experience on LLMs, OpenAI or Copilot. Strong knowledge with CI/CD concepts, AI/ML frameworks and libraries. Experience in working on Azure tech stack, Snowflake, GitHub, Databricks Experience building and deploying production ML models Experience managing code repositories. Solid understanding of machine learning algorithms, statistical modeling, data preprocessing and feature engineering; experience with API integration and data/AI regulatory compliance Experience in Decision Science area / Operations Research / Applied Mathematics, Statistics, Data Science or Computer Science. · Strong stakeholder management and users focus, excellent communication and presentation skills Nice to have: Master's/Diploma degree in data science, mathematics, (business) computer science, statistics or a comparable field · Knowledge in IT Software Development and project management is a plus Any experience in procurement or supply chain management is
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