MBC GROUP
Data Scientist
MBC GROUPUnited Arab Emirates18 hours ago
Full-timeEngineering, Information Technology
Responsibilities

  • Model Development & Implementation: Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
  • AI Solutions: Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
  • Data Analysis & Exploration: Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
  • Collaborative Problem Solving: Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization’s objectives.
  • Model Optimization: Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
  • Scalability & Performance: Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
  • Stay Current with AI Trends: Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
  • Reporting & Communication: Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Strong proficiency in programming languages such as Python, R, or similar.
  • Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
  • Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
  • Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.

Unfortunately, due to the high number of responses we receive we are unable to provide feedback to all applicants. If you have not been contacted within 5-7 days, please assume that at this stage your application has been unsuccessful.

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