Zicasso is seeking an AI and Data Science Manager to lead data science initiatives, develop AI-driven solutions impacting business operations, customer experiences, and strategic decision-making, and support the company's growth in luxury travel services.
Requirements
- Proficiency in Python or R, with hands-on experience implementing machine learning pipelines and frameworks
- Advanced SQL skills, with experience working on large-scale relational or distributed datasets
- Experience with data visualization tools such as Tableau or Power BI
- Strong knowledge of statistical modeling, data analysis techniques, and experimental design
- Hands-on expertise in AI, machine learning, and natural language processing (NLP) techniques, including model development, tuning, and validation
- Excellent problem-solving skills and ability to translate business challenges into analytical projects
Responsibilities
- Design, develop, and validate advanced AI and machine learning models, including deep learning architectures and NLP applications
- Analyze large, complex datasets to uncover strategic insights that drive product innovation and operational efficiency
- Oversee the design and analysis of A/B tests and multi-variant experiments to optimize business initiatives
- Collaborate with data engineering teams to ensure scalable data infrastructure, quality, and consistency
- Provide training and guidance on data analysis, visualization, and reporting to promote a data-driven culture
- Help shape the company's AI and data science strategy, establishing clear objectives and performance benchmarks
- Translate complex business challenges into actionable data projects
Other
- Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative discipline
- Minimum of 7 years of professional experience as a Data Scientist or in a related role
- At least 2 years of experience leading or managing a team of data professionals
- Effective communication skills for conveying insights to technical and non-technical audiences
- Experience working independently in remote environments and fostering a collaborative team culture
