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
