Asc data scientist

About our client:Our Client operates in the Oil and Energy industry, with its headquarters rooted strongly in Saudi Arabia. It has its branches spread to more than 50 countries, providing employment to more than 68,500 people all over the world. They fall under the Fortune 500 Companies. They are one of the world’s largest oil producers. They are constantly growing by creating new technologies through its Research and Development efforts and branch into new business lines through Investments and Acquisitions.Responsibilities:Will be required to perform the following:Design, develop, and deploy scalable data-driven solutions using Flask, integrating with Microsoft SQL Server.Lead projects involving NLP, LLMs, and Generative AI, delivering innovative solutions.Collaborate with cross-functional teams to understand business needs and translate them into technical specifications.Conduct advanced statistical analysis and predictive modeling to extract actionable insights.Develop intuitive front-end interfaces to present complex data in an accessible manner.Maintain and enhance back-end systems for optimal performance and scalability.Mentor junior team members and contribute to knowledge sharing within the team.Stay abreast of emerging trends in AI, machine learning, and software development.Requirements:The successful candidate should hold a Bachelor’s degree in in Data Science, Computer Science, or a related field from a recognized and approved program.Should have at least 5 years experience in Natural Language Processing, and at least a few years’ experience in Large Language Models in addition to:At least 5 years of professional experience in data science and full-stack development.Proficiency in Flask, Microsoft SQL Server, and front-end technologies.Proven expertise in NLP, LLMs, and Generative AI.Strong foundation in statistics, machine learning, and algorithm design.Excellent problem-solving skills and ability to think algorithmically.Strong communication skills, with the ability to translate complex concepts to non-technical stakeholders.