Data Scientist

The Data Scientist on the AI and Data Team will be crucial in processing and analyzing extensive datasets, building predictive models, and generating actionable insights to guide business decisions. This role requires close collaboration with data engineers, AI engineers, and software developers to create and sustain effective data solutions that advance our AI and data projects.

LOCATION: Dubai (onsite full-time) - Our client will cover all expenses related to working visa, housing, and living costs in Dubai.

DESCRIPTION:

Data Processing & Management:

• Develop and maintain scalable data processing pipelines for managing large datasets on both on-premise and cloud platforms (e.g., AWS).
• Ensure data integrity, consistency, and accuracy through thorough validation and cleansing methods.

Data Analysis & Insights:

• Continuously analyze data to uncover trends, patterns, and correlations within large datasets.

Generate actionable insights and communicate findings to stakeholders through clear and effective visualizations.

Model Development:

• Build, test, and deploy predictive models using (deep) machine learning algorithms with frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Continuously monitor and optimize models to enhance performance and accuracy.

Collaboration and Support:

• Collaborate with data engineers, AI engineers, and software developers to understand data needs and provide technical assistance.
• Promote effective communication and teamwork within the AI and data teams, as well as with other technical departments.

Security and Compliance:

• Ensure secure and compliant data handling and processing by following best practices and meeting regulatory standards.
• Perform regular audits and evaluations to detect and address security risks.

Continuous Improvement:

• Identify opportunities to enhance data processing, analysis, and model development workflows.
• Keep up-to-date with the latest trends and advancements in data science and AI.

REQUIREMENTS

Education:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. A higher degree is preferred.

Experience:

• At least 3-5 years of experience in data science, machine learning, or a related field.
• Demonstrated expertise in processing and analyzing large datasets.
• Solid experience in Python programming and using data manipulation libraries such as Pandas and NumPy.

Skills:

• Expertise in machine learning frameworks and tools, including TensorFlow, PyTorch, and Scikit-learn.
• Strong analytical and problem-solving abilities with a keen, data-driven approach.
• Exceptional communication skills can translate complex data insights into clear explanations for non-technical stakeholders.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Apache Spark, Hadoop).
• Strong attention to detail and a patient, systematic data handling and analysis approach.

Preferred Qualifications:

• Experience in fraud detection, recommendation systems, and customer behavior prediction.
• Knowledge of data engineering and MLOps practices.
• Awareness of best practices for data security in various environments.
• Proficiency in data visualization tools such as Tableau and Power BI.

BENEFITS:

• A competitive salary package reflecting your skills, experience, and contributions.
• Support with accommodation, meals, and working visa arrangements.
• Holiday and New Year bonuses.
• Provision of essential work equipment (MacBook/iPhone)
• A professional, dynamic, and inclusive work environment.
• Financial support for home visits twice a year.