Data and AI Engineer

at  BizClik Media

REQUIREMENTS:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience working as a data engineer, data scientist, or AI engineer in a fast-paced environment.
• Strong proficiency in programming languages such as R and Python, with experience in building and deploying machine learning models and statistical analysis.
• In-depth knowledge of Business Intelligence tools, particularly Power BI, including data modelling, DAX, and report/dashboard development.
• Hands-on experience with data warehousing concepts, SQL, and NoSQL databases.
• Solid understanding of cloud platforms (e.g., Azure, AWS, GCP) and experience with cloud-based data services and solutions.
• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.
• Self-motivated and proactive attitude towards learning new technologies and methodologies.

• Develop and maintain data pipelines and ETL processes to efficiently extract, transform, and load data from various sources into our data ecosystem.
• Design, develop, and deploy machine learning models and advanced analytics solutions to solve complex business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Build interactive dashboards and reports using Power BI to visualise data insights and trends for stakeholders at all levels.
• Perform data analysis and exploratory data analysis (EDA) to uncover patterns, correlations, and insights that drive business value.
• Stay up-to-date with the latest advancements in data science, AI, and BI technologies, and evaluate their potential impact on our business.
• Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and development.
• Evaluate and integrate third-party AI/ML libraries, frameworks, and tools to enhance our data science capabilities and accelerate development timelines.
• Collaborate with IT and data engineering teams to ensure data integrity, security, and compliance with regulatory standards.