Supply Chain AI/ML Data Scientist: Forecast & Optimize

BlockTXM Inc.; Colorado; On-site; USD 120,000 - 170,000; Full time

Job summary

BlockTXM Inc. in Colorado is seeking an AI/ML Supply Chain Data Scientist to apply machine learning and analytics to forecast demand, optimize routes and inventory, and improve network efficiency.

You will build data pipelines from ERP, WMS and IoT sources, develop forecasting and optimization models, and present insights to cross-functional teams to influence decisions. Collaboration with logistics, production, and procurement is essential.

Qualifications

• Strong knowledge of data science and ML applied to supply chain problems.
• Proficiency in Python and SQL for data processing and modeling.
• Experience with time-series forecasting and optimization methods.
• Ability to translate complex analyses into actionable business recommendations.
• Excellent cross-functional collaboration and communication skills.

Responsibilities

• Analyze large datasets of supply chain information to identify patterns and outliers.
• Develop forecasting models for demand planning and lead times.
• Design optimization algorithms for routing, inventory placement, and network design to reduce costs.
• Use predictive analytics to anticipate delays or stockouts.
• Collaborate with logistics, production, and procurement to align analytics with operations.
• Build data pipelines from ERP, WMS, and IoT sources for analysis.
• Develop dashboards to deliver real-time insights to stakeholders.
• Validate and back-test models to measure impact.

Skills

Data Science

Machine Learning

Python

R

Predictive Analytics

Forecasting

Optimization

SQL

Big Data

Time-Series Analysis

TensorFlow/PyTorch

Data Visualization

Cloud ML

Tools

Python (Pandas/Scikit-learn)

R

SQL

TensorFlow/PyTorch

Hadoop/Spark

Data Visualization tools

Job description

BlockTXM Inc. in Colorado is seeking an AI/ML Supply Chain Data Scientist to apply machine learning and analytics to forecast demand, optimize routes and inventory, and improve network efficiency.

You will build data pipelines from ERP, WMS and IoT sources, develop forecasting and optimization models, and present insights to cross-functional teams to influence decisions. Collaboration with logistics, production, and procurement is essential.