
Forecaster Analyst
3 days ago
About the Role:
- We are seeking a skilled Data Scientist with expertise in forecasting, predictive modelling, customer segmentation, and price optimization.
- The ideal candidate will have experience in the retail sector, strong analytical skills, and proficiency in Azure cloud services.
Key Responsibilities:
- Design, develop, and deploy forecasting models to predict business trends, sales, and demand patterns.
- Perform customer segmentation using clustering and other advanced analytics techniques to support targeted marketing and personalization strategies.
- Implement price optimization models to maximize revenue and profitability.
- Analyze retail sector data to derive actionable insights and improve decision-making.
- Collaborate with cross-functional teams to integrate machine learning solutions into business workflows.
- Work with Azure Machine Learning and other Azure services to manage, train, and deploy models.
- Monitor and refine machine learning models for improved accuracy and performance over time.
Required Skills & Qualifications:
- Minimum 3 years of experience as a Data Scientist.
- Strong experience in time series forecasting and predictive analytics.
- Proven track record in customer segmentation and price optimization.
- Domain expertise in the retail sector preferred.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with Azure Machine Learning, Azure Databricks, and related Azure services.
- Excellent problem-solving and communication skills.
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