Senior Data Science Engineer (Dubai/Riyadh, onsite) #15178

Purpose Of The Job

A one-year contract for on-site work in the UAE or Saudi Arabia. The contractor should be available to visit the client's office in Dubai/Riyadh up to four times per week. We are seeking a highly skilled Data Scientist to join our team and contribute to advanced data analytics, machine learning model development, and data-driven decision-making for our client. The ideal candidate will have strong expertise in data manipulation, statistical analysis, and machine learning, along with experience in cloud platforms and big data technologies. Our client is a leading industrial company in the United Arab Emirates, recognized as the world’s largest ‘premium aluminium’ producer. With operations spanning from bauxite mining to alumina refining and aluminium smelting, they are a significant contributor to the UAE’s economy and a major player in the global aluminium industry. The company is committed to innovation, sustainability, and technological advancement, continually striving to enhance its processes and products to meet the evolving needs of its customers worldwide.

Main Tasks And Responsibilities

Develop and optimize machine learning models using Python and libraries such as scikit-learn, TensorFlow, or PyTorch

Perform data cleaning, transformation, and exploratory data analysis (EDA) using pandas and other data processing tools

Apply statistical methods, including hypothesis testing, regression analysis, ANOVA, and probability theory, to derive insights from data

Implement supervised and unsupervised learning techniques, feature engineering, model selection, evaluation, and hyperparameter tuning

Create insightful data visualizations using Matplotlib, Seaborn, or ggplot

Utilize big data technologies like Apache Hadoop, Apache Spark, and distributed databases to process large-scale datasets

Write and optimize SQL queries for efficient data retrieval and management

Work with data pipelines, integration, warehousing, and architecture to support data engineering tasks

Leverage Azure cloud services, including Azure Machine Learning, for scalable AI/ML solutions

Use Git and version control systems for collaborative coding and workflow management

Education, Skills And Experience

MUST HAVE:

Strong programming skills in Python with experience in data manipulation and analysis

Proficiency in handling and analyzing large datasets, with hands-on experience in pandas and EDA techniques

Deep understanding of statistical analysis and probability theory

Experience with machine learning algorithms and frameworks such as scikit-learn, TensorFlow, or PyTorch

Strong data visualization skills

Familiarity with big data technologies and distributed computing frameworks

Proficiency in SQL and database management

Experience with data engineering concepts and data pipelines

Knowledge of cloud computing platforms, especially Azure

Proficiency in Git and version control for collaborative workflows