Lead Data Analyst for Demand Forecasting and Model Deployment
3 weeks ago
Job Title: Lead Data Analyst for Demand Forecasting and Model Deployment
About the Role:
We are seeking a highly skilled and experienced Lead Data Analyst to join our team at Syren Cloud Inc. In this role, you will be responsible for designing, developing, and deploying machine learning models to optimize business operations. You will work closely with cross-functional teams to drive data-driven decision-making through accurate demand predictions, customer insights, and end-to-end machine learning model deployment.
Key Responsibilities:
- Develop and implement statistical and machine learning models to forecast product demand, sales, and inventory needs.
- Use time-series analysis, regression models, and other predictive modeling techniques to accurately predict demand trends.
- Analyze the effectiveness of segmentation strategies and adjust them based on customer behavior and evolving business needs.
- Build and maintain scalable ML pipelines to automate the deployment, monitoring, and retraining of models.
- Ensure the reliability and scalability of machine learning models by leveraging cloud infrastructure and containerization tools (e.g., Docker, Kubernetes).
Salary: $120,000 - $150,000 per year, depending on experience.
Required Skills and Qualifications:
- 5-10 years of experience in a data science or machine learning role, with a focus on demand forecasting, segmentation, and model deployment.
- Proven experience with time series forecasting methods, statistical modeling, and machine learning algorithms.
- Strong hands-on experience with Python (or R) and libraries such as scikit-learn, pandas, numpy, statsmodels, and TensorFlow or PyTorch.
- Familiarity with MLOps frameworks and tools such as MLflow, Kubeflow, or similar platforms.
- Experience working with cloud platforms (AWS, GCP, Azure) and tools like Docker, Kubernetes, and CI/CD pipelines for deploying models.
Benefits:
- Competitive salary range
- Ongoing training and professional development opportunities
- Collaborative and dynamic work environment
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