Data Scientist Lead

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.