Data & AI Strategy Data Science Analyst
Core
Design intelligent solutions and AI models to transform Supply Chain decision-making, focusing on predictive insights and optimization for inventory, demand, and service performance.
Role type
Data & AI Strategy Data Science Analyst
Builds
Predictive and prescriptive models (demand forecasting, inventory optimization) integrated into enterprise data strategies for Supply Chain clients.
Domain
Supply Chain & Operations / Artificial Intelligence
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning (scikit-learn, XGBoost, TensorFlow, PyTorch), Time Series Forecasting (ARIMA, Prophet), Optimization Techniques, Model Evaluation & Validation, Cloud Platforms (Azure ML, Databricks)
Preferred skills
Operations Research, Heuristic Methods, End-to-end AI Lifecycle Management
Technologies
Python, SQL, scikit-learn, XGBoost, TensorFlow, PyTorch, Azure ML, Databricks, ARIMA, Prophet
Responsibilities
Translate business challenges into data science problems; Develop predictive and prescriptive models; Perform exploratory data analysis and feature engineering; Design, train, validate, and optimize machine learning models; Support model deployment and monitoring in cloud environments; Quantify business impact through KPI definition and performance measurement.
Seniority
Mid-level (1–3 years experience)
