Senior/Lead Data Scientist (Supply Chain)
USD 116K-158K (estimate) Mid-level Full Time
Tasks
- Apply advanced data science techniques to identify inefficiencies and bottlenecks
- Build scalable data pipelines using PySpark
- Collaborate with business partners to develop analytical solutions
- Communicate insights and recommendations to stakeholders
- Design and implement graph based models for supply chain networks
- Develop data products and tools using analytical models
- Develop predictive models for demand forecasting and routing
- Develop prescriptive models for inventory management
- Develop processes frameworks tools methods and standards
- Translate business challenges into analytical solutions with cross functional teams
Perks/Benefits
Skills/Tech-stack
Data Analysis | Data Modeling | Data Pipelines | Data Storytelling | Data Visualization | Demand forecasting | Exploratory Data Analysis | Graph theory | Inventory Management | Machine Learning | NumPy | Pandas | Predictive Analytics | Prescriptive Analytics | PySpark | Python | Routing | SciPy | Scikit-learn | Supply Chain | Supply chain optimization
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist | Senior Data Scientist
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