Data Scientist & Analytics Engineer (ML/BI Dashboards)

Majid Al Futtaim; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

Majid Al Futtaim Global Solutions seeks a data engineering and analytics specialist to design scalable data pipelines, build dashboards in Tableau and Power BI, and deliver analytics and ML solutions to accelerate data-driven decision making.

The role emphasizes governance, documentation, and collaboration with AI initiatives, with hands-on work in Python, SQL, and Streamlit to create prototype analytics apps.

Qualifications

• Proficiency in Python (Pandas, NumPy) and SQL/MySQL to transform data for analytics.
• Strong expertise in Tableau, Power BI and advanced Excel with KPI governance.
• Knowledge of exploratory data analysis, statistics, and ML concepts including feature engineering, model development, evaluation.

Responsibilities

• Design, develop, and optimize scalable data pipelines using Python and SQL/MySQL.
• Build, enhance, and maintain Tableau and Power BI dashboards with actionable KPIs.
• Conduct exploratory data analysis and statistical assessments to identify trends and insights.
• Develop and evaluate predictive analytics and ML models leveraging scikit-learn.
• Create and deploy analytics apps using Streamlit for stakeholder access to data.
• Support AI/NLP initiatives by prototyping and validating use cases.
• Maintain documentation for data models, dashboards, and code with governance and version control.
• Deliver reporting-ready datasets and dashboards with outcomes and recommendations.

Skills

Python

SQL

Tableau

Power BI

Excel

ML concepts

Streamlit

Git/GitHub

Jupyter/Colab

VS Code

PyCharm

Hugging Face

NLP

Education

Quantitative degree

Tools

Git/GitHub

Jupyter/Colab

VS Code

PyCharm

Hugging Face

Job description

Majid Al Futtaim Global Solutions seeks a data engineering and analytics specialist to design scalable data pipelines, build dashboards in Tableau and Power BI, and deliver analytics and ML solutions to accelerate data-driven decision making.

The role emphasizes governance, documentation, and collaboration with AI initiatives, with hands-on work in Python, SQL, and Streamlit to create prototype analytics apps.