Remote Senior Demand Signals & Forecasting Specialist

Pure Healing, Portugal; Abu Dhabi; Remote; AED 250,000 - 500,000; Full time

Job summary

Pure Healing, a senior-level position in demand signal modeling, is hiring for a fully remote role based in the United Arab Emirates. You will develop and validate statistical and machine learning models to forecast demand across products and markets, integrating internal and external indicators for actionable insights.

The role emphasizes time-series analysis, feature engineering, model validation, and collaboration with cross-functional teams to influence inventory planning and commercial

Qualifications

• Bachelor's or master's degree in Statistics, Mathematics, Data Science, Economics, Operations Research, or a related discipline.
• Significant professional experience in demand forecasting, predictive modeling, statistical analysis, or supply chain analytics.
• Proficiency in Python or R and relevant statistical modeling libraries; advanced SQL skills.

Responsibilities

• Develop and maintain statistical and machine learning models to forecast demand signals.
• Analyze historical sales, customer behavior, market trends, pricing, and promotions.
• Integrate internal data with external indicators to improve demand visibility.
• Identify leading and lagging indicators that influence demand fluctuations.
• Develop dashboards and visualizations to communicate demand insights.

Skills

Time-series forecasting

Machine learning

Python

R

Data visualization

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Economics, OR Operations Research

Master's degree in Statistics, Data Science or related field

Tools

Pandas

scikit-learn

SQL

Job description

Pure Healing, a senior-level position in demand signal modeling, is hiring for a fully remote role based in the United Arab Emirates. You will develop and validate statistical and machine learning models to forecast demand across products and markets, integrating internal and external indicators for actionable insights.

The role emphasizes time-series analysis, feature engineering, model validation, and collaboration with cross-functional teams to influence inventory planning and commercial