Senior Data Scientist

We are looking for a Senior Data Scientist to join our Supply Portfolio Management team. As a Senior Data Scientist, you will be responsible for identifying and analyzing patterns of inconsistencies across various data sources, developing and implementing algorithms to correct detected inconsistencies, and designing and deploying operational quality monitoring dashboards for use by Middle Offices. You will work daily to enable Middle Offices to effectively fulfill their responsibilities across different Supply processes, including forecasting, pricing, billing, closing, and customer care. You will also support the industrialization of data processing solutions developed by the business team in collaboration with IT teams.

Requirements

• Expert command of Databricks (Spark, notebooks, Delta Lake) to design, build, and scale data workflows end-to-end.
• Deep understanding of cloud data environments (Azure or AWS) and modern data pipeline orchestration (Delta Live Tables, workflow automation).
• Advanced proficiency in SQL and PySpark for large-scale data transformation, integration, and quality control.
• Proven experience designing robust inconsistency detection frameworks (validation layers, anomaly detection, quality metrics).
• Capability to develop and implement automated correction algorithms, from business rule definition to deployment in production.
• Solid knowledge of data quality governance, including testing, monitoring, and continuous improvement.
• Strong skills in Python (pandas, scikit-learn, PySpark MLlib) for advanced analysis, pattern discovery, and model development.
• Ability to design analytical approaches to uncover hidden patterns, detect anomalies, and explain data discrepancies.
• Proven experience in timeseries management and statistics
• Track record of translating complex business challenges into actionable data models and measurable outcomes.
• Experience deploying, scaling, and maintaining data science solutions in production environments.
• Familiarity with DevOps/MLOps practices (CI/CD, version control, testing, monitoring) to ensure reliability and reproducibility.
• Strong focus on documentation, traceability, and maintainability of solutions over time.
• Demonstrated expertise in managing Git repositories, including branching strategies, code reviews, and collaborative workflows, as well as maintaining comprehensive and up-to-date project documentation within Git platforms.

Benefits

• Paid Time Off
• Health Insurance
• Retirement Plan
• Tuition Reimbursement