We are looking to onboard a Data Scientist who has experience in supply chain. You'll develop and apply algorithms focused on detecting inconsistencies and delays in our supply chain deliveries. As well as identifying issues, you'll also build recommendation systems to provide actionable insights on how to address these discrepancies. You'll be instrumental in the creation and testing of hypotheses, and will be responsible for the seamless integration of your findings into our core system.

Key Requirements:

- Strong expertise in Python, coupled with knowledge of core data science libraries (such as scikit, pandas, plotly, common data integration tools).

- Expertise in advanced anomaly detection techniques tailored for complex datasets.

- Experience in designing and implementing recommendation systems to address detected anomalies.

- Ability to code and integrate developed solutions into our broader framework.

- Knowledge of data healing and remediation techniques.

- Proficiency in probabilistic methods, including significant experience with models such as Markov Decision Processes.

- Hands-on experience with structured data anomaly detection.

- Familiarity with Git for efficient code management.

- Intermediate AWS experience (Lambda, S3, RDS, Dynamo)