A leading media and marketing organization are seeking a Data Scientist to join its internal team. The company is focused on leveraging data and AI to drive scalable, business-critical solutions and deliver measurable outcomes across multiple industries.

Role Overview:The Data Scientist will focus on productionizing machine learning models, transforming prototypes into robust, scalable systems that support key business operations. The role is central to embedding AI and data-driven insights into the company’s processes, working closely with internal teams to maximize impact.

• Key Responsibilities:Collaborate with internal stakeholders to identify opportunities for machine learning applications.
• Develop, deploy, and maintain machine learning models in production environments.
• Optimize and monitor models to ensure performance, scalability, and reliability.
• Implement best practices in MLOps, version control, and model lifecycle management.
• Integrate models into operational systems alongside engineering and analytics teams.
• Document workflows, code, and methodologies to ensure maintainability and reproducibility.

• Requirements:Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in deploying machine learning models in production.
• Proficiency in Python or a similar language, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with MLOps tools and practices, including Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of data pipelines, ETL processes, and cloud platforms (AWS, GCP, Azure).
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

• Preferred:Experience working with large-scale media or marketing datasets.
• Knowledge of advanced ML techniques such as recommendation systems, NLP, or predictive analytics.

• Why Join:Opportunity to work on high-impact projects that directly influence business strategy.
• Exposure to cutting-edge AI and data-driven solutions within a global organization.
• Collaborative, inclusive, and innovative culture that encourages continuous learning.

Application:Interested candidates are invited to submit a CV and brief cover letter highlighting experience with production ML systems to [email/contact].