Retail AI Data Analyst — Forecasting & ML for Growth

Apparel Group; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading retail company is seeking a Data Analyst to join their AI team. This position focuses on applying data analytics and machine learning techniques to solve real-world retail challenges. Candidates should have a strong academic background in relevant fields and at least 2 years of experience in data science or machine learning. Responsibilities include model building, data analysis, and collaboration with product managers. The role offers the chance to work on innovative AI solutions in a dynamic environment.

Qualifications

• 2+ years of experience in data science or applied machine learning, preferably in retail or e-commerce.
• Strong knowledge of machine learning fundamentals such as regression, classification, clustering, and time series forecasting.
• Ability to analyze data and communicate insights effectively.

Responsibilities

• Assist in building, testing, and deploying machine learning models.
• Perform data cleaning, preprocessing, and feature engineering on large datasets.
• Conduct exploratory data analysis to discover trends and insights.
• Support dashboard development and data storytelling for stakeholders.

Skills

Data analysis

Machine learning

Python programming

SQL

Data cleaning

Exploratory data analysis

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related field

Tools

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

Power BI

Tableau

Job description

A leading retail company is seeking a Data Analyst to join their AI team. This position focuses on applying data analytics and machine learning techniques to solve real-world retail challenges. Candidates should have a strong academic background in relevant fields and at least 2 years of experience in data science or machine learning. Responsibilities include model building, data analysis, and collaboration with product managers. The role offers the chance to work on innovative AI solutions in a dynamic environment.