Senior Data Scientist (m­­/­­f­­/­­d)

- Utilizing expertise in mathematics, computer science, and business knowledge to analyze data, build models, and support data-driven decision-making in procurement - Gaining and continuously updating business and data knowledge through onboarding and project experiences - Performing data engineering tasks, including ETL processes and data pipeline creation, using tools like SQL and web scraping technologies - Designing efficient tabular data models and writing scripts with cloud database technologies such as Snowflake, relational databases, and star schemas - Conducting advanced exploratory data analyses with techniques like outlier detection, imputation methods, statistical correlations, and dimension reduction methods - Providing actionable insights through data visualization tools (e.g., Power BI, Qlik, Plotly, Seaborn) and implementing process automation solutions (e.g., ServiceNow, Mendix, Power Apps) - Delivering high-quality mathematical data models using machine learning, regression techniques, and optimization methods for classification and prediction tasks - Developing solutions incorporating generative AI techniques and large language models to address complex business challenges