Senior Applied Scientist

**Overview** Looking for an astute, insightful and innovative Senior Applied Scientist to lead and execute data analytics and business intelligence projects for G42's diverse clients, leveraging AI\-driven solutions to address their unique challenges and opportunities. You will be responsible for developing and implementing cutting\-edge data analysis models, creating data visualizations, and providing strategic recommendations to clients across multiple industry verticals. **Responsibilities** 'Functional: * Lead and participate in end\-to\-end data analytics and business intelligence projects, from data collection and preprocessing to modeling, analysis, and reporting, employing statistical methods, machine learning algorithms, and data mining techniques. * Collaborate with cross\-functional teams to understand client requirements, design solutions, and deliver actionable insights. * Develop and maintain scalable data pipelines and analytics infrastructure for efficient data processing and analysis. * Design and develop AI models for predictive analytics, anomaly detection, and pattern recognition. * Collaborate with clients to identify business objectives and translate them into data analysis and reporting requirements. * Create and maintain dashboards and reports to visualize and communicate data\-driven insights. * Ensure data quality and accuracy by implementing data cleansing, transformation, and validation processes. * vContinuously evaluate and enhance data analytics processes, tools, and techniques to optimize efficiency and effectiveness. * Present findings and recommendations to clients in a clear and understandable manner, tailoring communication to various stakeholders. **Qualifications** To qualify, you must have: * A Ph.D. or Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline. * Minimum of 7 years of experience in data analytics, business intelligence, or related roles, with a strong background in AI and machine learning applications. * Proficiency in programming languages such as Python and R, as well as data analysis libraries (e.g., Pandas, NumPy, Scikit\-Learn). * Hands\-on experience with data visualization tools (e.g., Tableau, Power BI) and database management systems (e.g., SQL). * Experience in working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. **Ideally, You'll Also Need** * Strong problem\-solving skills and the ability to work with complex, large\-scale datasets. * Excellent communication skills to effectively convey technical findings and insights to non\-technical stakeholders. * Strong project management and leadership skills to guide interdisciplinary teams and drive project success. * Exceptional teamwork and interpersonal skills to foster collaboration and maintain strong client relationships.