**Company Description** Code 81 is established in 2023, CODE81 operates autonomously from within the Technology Cluster of Ghobash Group as a highly agile services driven organization, committed to enabling future thinkers. **Job Description*** Lead the end\-to\-end development and deployment of **machine learning models**, advanced algorithms, and AI\-driven solutions to extract actionable insights from large, diverse datasets. * Collaborate closely with **software engineers, data engineers, and business teams** to identify high\-impact opportunities for applying data science to strategic business problems. * Design and implement robust **data pipelines and ETL workflows** to collect, clean, and integrate data from various structured and unstructured sources. * Conduct in\-depth **exploratory data analysis** and apply **statistical modeling** techniques to detect trends, patterns, and business drivers. * Build, evaluate, and deploy **predictive models** and **forecasting algorithms** that support operations, planning, and growth strategies. * Develop intuitive **data visualization dashboards** and reports to communicate findings clearly to stakeholders at all levels. * Stay current with the latest advancements in **machine learning, artificial intelligence, and big data technologies**, and assess their potential integration into Code81’s ecosystem. * Ensure that all data science practices adhere to **data privacy regulations** and **governance standards**. **Qualifications*** Bachelor’s or Master’s degree in **Computer Science, Data Science, Statistics, Mathematics**, or a related field. * **7\+ years of hands\-on experience** in data science, machine learning, or related analytical roles. * Strong proficiency in **Python**, **R**, or **Java**, with in\-depth knowledge of libraries such as **Pandas, NumPy, Scikit\-learn, TensorFlow**, and **Matplotlib**. * Extensive experience in **machine learning techniques**, including supervised and unsupervised learning, deep learning, regression, classification, and clustering. * Solid understanding of **data engineering principles**, with experience using **SQL**, **Spark**, **Hadoop**, or other distributed computing tools. * Demonstrated success in translating complex business requirements into scalable, data\-driven solutions. * Excellent communication and interpersonal skills, with the ability to convey technical concepts to non\-technical audiences and lead cross\-functional initiatives. * Experience in leading or mentoring junior data scientists or analysts is a plus. **Skills \& Professional Requirements:** * Good verbal \& written communication skills. * Experience of contributing to proposal writing, presentations, and pre\-sales activities. * Demonstrate an understanding of AI/ML. * Excellent communication skills. * Skilled in Cloud solutions like AWS, Azure, or GCP is a plus. **Additional Information** Languages/Technologies: Java/J2EE, ReactJS, JQuery, JSON, HTML, JavaScript, CSS, PLSQL. Additional: Angular 7, VueJS, AngularJS. Frameworks: Spring Boot, Spring 4(MVC, ORM, AOP, SECURITY, Batch), Struts 2, Hibernate 3\+. Database: Oracle 19c. Web Services: RESTful Web Services (JAX\-RS), SOAP, JSON. Build Tool: Maven. Version Control : Bit Bucket. Development Tools: Eclipse STS, Jira, Tibco Jasper Report. Application Server: WebLogic Application server, Apache Tomcat Testing: Junit.