Data Scientist (Dubai)

freeC's Client

• Data Processing & Management
• Design, develop, and maintain scalable data processing pipelines for handling large datasets using both on-premise and cloud platforms (e.g., AWS).
• Ensure data quality, consistency, and accuracy through rigorous validation and cleansing processes.
• Data Analysis & Insights:
• Monitor and perform comprehensive data analysis to identify trends, patterns, and correlations within large datasets.
• Generate actionable insights and present findings to stakeholders through clear and concise visualizations.
• Model Development:
• Develop, test, and deploy predictive models with (deep) machine learning algorithms using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Continuously monitor and refine models to improve performance and accuracy.
• Collaboration and Support:
• Work closely with data engineers, AI engineers, and software developers to understand data requirements and provide technical support.
• Facilitate effective communication and collaboration within the AI and data teams and other technical teams.
• Security and Compliance:
• Ensure the security and compliance of data handling and processing by implementing best practices and adhering to regulatory requirements.
• Conduct regular audits and assessments to identify and mitigate security vulnerabilities.
• Continuous Improvement:
• Identify areas for improvement in data processing, analysis, and model development workflows.
• Stay updated with the latest industry trends and technologies related to data science and AI.

Job requirement

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. A higher degree is a plus.
• Minimum of 3-5 years of experience in data science, machine learning, or a similar role.
• Proven experience in processing and analyzing large datasets.
• Strong background in Python programming and data manipulation libraries (e.g., Pandas, NumPy).
• Proficiency in machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong analytical and problem-solving skills with a meticulous and data-sensitive approach.
• Excellent communication skills with the ability to convey complex data insights to non-technical stakeholders.
• Familiarity with one of cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Apache Spark, Hadoop).
• Attention to detail and a patient, methodical approach to data handling and analysis.

Preferred Qualifications:

• Experience in fraud detection, recommendation systems, and predicting customer behavior.
• Understanding of data engineering and MLOps methodologies.
• Awareness of security best practices in data environments.
• Proficiency with data visualization software (e.g., Tableau, Power BI).

• Assistance with accommodation, living expenses, and work visa procurement for all staff.
• Financial assistance for employees to visit home fourth a year.
• A salary package that reflects your skills, experience, and contributions to the company.
• Provision of necessary work equipment, including a MacBook and iPhone.
• Continuous development of hard and soft skills through work and professional training.
• A holiday and New Year bonus to recognize your hard work and dedication.
• A professional, dynamic, and inclusive workplace culture that fosters collaboration and innovation.