Senior Data Scientist - Supply Chain Management (m/f/d)

ABOUT US

YOUR ROLE AT AIONEERS

As a Senior Data Scientist, you will be a pivotal member of the data science team within aioneers. You will be leading the solution implementation of data science work streams within our supply chain analytics projects. Often the projects involve solving complex supply chain problems like demand forecasting, multi-echelon inventory optimization, production scheduling, intelligent order fulfillment, rough cut capacity planning (RCCP) etc. You will also provide technical guidance and mentorship junior data scientists in the team.

• You will own development and implementation of end-to-end life cycle of machine learning solutions from data modelling, feature engineering, ML solution structuring to MLOps process implementation of automated model serving
• You will play the role of a technology architect to design efficient MLOps process for large scale model deployments and high frequency servings using Azure data and ML services
• You will provide thought leadership to solution architects and project managers to come up with effective solution architecture for client’s problems
• You will be building heuristics, Operations research techniques based (like linear programming and discrete optimization) solutions to solve optimization problems in supply chain space
• You will also lead the data engineering work activities within the projects to create required data models with features stores for ML implementations and post processing activities to make the outputs consumable for business use cases

YOUR PROFILE

We are looking for someone with 5 to 8 years of relevant data science and machine learning experience in solving supply chain problems

Data Science and Machine Learning Skills

• Understanding of statistical methods (e.g., regression, hypothesis testing) and optimization techniques like linear programming and mixed-integer programming for supply chain problems
• Proficiency in methods like ARIMA, SARIMAX, Prophet, or advanced techniques using neural networks (e.g., LSTMs, Temporal Fusion Transformer)
• Familiarity with supervised and unsupervised learning for classification (e.g., demand segmentation) and clustering (e.g., supplier categorization)
• Knowledge of CI/CD pipelines for ML, including retraining, deployment, and monitoring models using Azure DevOps or GitHub Actions

Supply Chain Domain Knowledge:

• Seasoned expertise in demand forecasting using ML. Understanding the nuances of intermittent, erratic and lumpy demand patterns and how to solve them using ML techniques
• Knowledge of EOQ, reorder point models, safety stock modelling and inventory simulation techniques would be a plus

Programming and Technical Skills

• Expertise in setting up end to end MLOps processes – model training, deployment, and tracking experiments
• Expertise in creating data pipelines for ETL processes and connecting supply chain data sources Proficiency in integrating ERP data from systems like SAP into Azure via connectors or APIs
• Deploying scalable ML models as APIs using AKS (Kubernetes)
• Expertise in handling large-scale supply chain datasets using Spark, Databricks, or Azure Synapse
• Advanced query skills in Azure SQL Database or Cosmos DB for real-time analytics
• Advanced proficiency in Python for ML modelling, data analysis, and libraries like Scikit-learn, PyTorch, TensorFlow
• Version control and automating deployments using Azure DevOps or GitHub Actions
• Ability to think through automation, pipeline design and other MLOps processes
• Conceptual and pragmatic knowledge of the concepts of data modelling, feature engineering, fine tuning machine learning models, statistical model validation

Educational Background and Experience

• Engineering degree in computer science, informatics, data analytics and other relevant branches
• Affinity for new technologies and a drive for independent learning
• Affinity for an open feedback culture with flat hierarchies

WHY AIONEERS?

At aioneers, we are building the next generation innovative solutions on supply chain technologies. What we can offer is a wonderful team culture, flexible work hours, respect for your ideas, open discussions / open door policies and attractive remuneration. Your results count and not the hours. You will have the chance to actively participate in the development and execution of innovative business strategies on an international scale.