Sr. Data Scientist Network Optimization (Supply Chain)
Experience: 58 Years
Location: Remote
Role Overview
We are seeking a Senior Data Scientist with strong expertise in Network Optimization and Supply Chain analytics to design, build, and deploy scalable data science and optimization solutions. The role requires deep hands-on experience with graph-based modeling, PySpark, Databricks, and Azure cloud platforms, along with the ability to operate independently in a remote environment.
Required Qualifications & Experience
- 5+ years of professional experience as a Data Scientist or Machine Learning Engineer.
- Mandatory: 3+ years of domain experience in Supply Chain analytics.
- Strong hands-on experience in network design, optimization, and graph-based modeling.
- Proven ability to work independently in a remote environment with required time overlap.
Technical Skills
Programming & Data Science
- Strong proficiency in Python
- pandas, NumPy, scikit-learn
- Experience with TensorFlow or PyTorch
Big Data & Distributed Computing
- Advanced expertise in PySpark for large-scale data processing and ML development
Databricks
- Databricks notebooks and workflows
- Delta Lake
- MLflow (training, tracking, deployment)
Cloud Platforms
- Azure ML
- Azure Data Factory
- Azure Data Lake Storage
- Azure Synapse Analytics
Databases
- Strong SQL skills for data querying and manipulation
Graph & Optimization Tools
- NetworkX
- Graph algorithms and network flows
- Combinatorial optimization
- Familiarity with supply chain network design tools (Llamasoft, AnyLogistix) is a plus
Education
- Bachelor's or Master's degree in:
- Data Science
- Computer Science
- Operations Research
- Engineering
- Applied Mathematics
