Data Scientist & Analytics Engineer | Dashboards + ML

Majid Al Futtaim; Dubai; On-site; AED 180,000 - 260,000; Full time

Job summary

Majid Al Futtaim seeks a data engineer/analytics specialist to design data pipelines, build dashboards in Tableau and Power BI, and deliver analytics and ML solutions that drive data-driven decisions and AI initiatives.

You will work across data teams, ensuring data quality and governance, implement lightweight apps with Streamlit, and contribute to AI/NLP experiments while documenting models and results for future deployment.

Qualifications

• Quantitative degree required.
• Proficiency in Python and SQL for data transformations.
• Experience building dashboards in Tableau and Power BI.
• Experience developing ML models with scikit-learn.
• Familiarity with version control and Jupyter/Colab.

Responsibilities

• Design, develop, and optimize scalable data pipelines using Python and SQL.
• Build and maintain Tableau and Power BI dashboards with KPI governance.
• Conduct exploratory data analysis to identify trends and insights.
• Develop and evaluate predictive analytics and ML models with scikit-learn.
• Create analytics apps and proof-of-concept solutions using Streamlit.
• Support AI, NLP and Generative AI initiatives through experimentation and prototyping.
• Maintain documentation for data models, dashboards, and code repos with governance.
• Deliver reporting-ready datasets and at least one analytics/ML prototype with outcomes.

Skills

Python

SQL

Pandas

NumPy

Tableau

Power BI

Excel

Machine Learning

Data Visualization

Education

Bachelor's degree in a quantitative field

Tools

Git/GitHub

Jupyter/Colab

VS Code

PyCharm

Streamlit

Job description

Majid Al Futtaim seeks a data engineer/analytics specialist to design data pipelines, build dashboards in Tableau and Power BI, and deliver analytics and ML solutions that drive data-driven decisions and AI initiatives.

You will work across data teams, ensuring data quality and governance, implement lightweight apps with Streamlit, and contribute to AI/NLP experiments while documenting models and results for future deployment.