Data Scientist

Summary

Join Zicasso, a leading luxury travel company, as a Data Scientist and leverage your expertise in data analysis and modeling to drive strategic decision-making. You will collaborate with cross-functional teams to develop and implement data-driven solutions, improving operations, enhancing customer experiences, and optimizing business performance. This is a fully remote, freelance contractor position based outside the United States, with a preference for candidates in Latin America. Flexibility in work hours is offered, with a focus on overlapping with California business hours. The role involves working in English and contributing to a data-centric culture. Zicasso offers remote work, flexible hours, a collaborative culture, a learning and development stipend, and two annual company-sponsored international trips.

Requirements

• Minimum 5 years of professional experience as a Data Scientist or related role in fast-moving, data-intensive environments
• Hands-on expertise in AI, machine learning, and natural language processing (NLP) techniques, including model development, tuning, and validation
• Strong proficiency in Python or R, with demonstrated experience implementing ML pipelines and frameworks
• Advanced SQL skills, with experience working on large-scale, relational and/or distributed datasets
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms
• Strong problem-solving skills, with ability to translate ambiguous business challenges into actionable analytics projects
• Effective collaborator with experience working independently in remote team environments
• Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative discipline
• Deep understanding of statistical modeling, machine learning algorithms, AI frameworks, and experimental design
• Proven ability to communicate complex quantitative insights clearly to both technical and non-technical stakeholders
• Passion for leveraging data, AI, and ML to create exceptional customer experiences and measurable business impact

Responsibilities

• Lead the analysis of large, complex datasets to uncover strategic insights that drive product innovation and business growth
• Lead the design, development, validation, and refinement of advanced predictive models and AI-driven solutions—including machine learning and natural language processing (NLP) techniques—to optimize every step of the customer journeys, improve demand/supply forecasting, deliver personalized recommendations, and achieve high customer satisfaction
• Collaborate cross-functionally with product, marketing, and customer experience teams to identify data-driven opportunities for conversion optimization, retention, and engagement improvements
• Design, implement, and interpret A/B tests and multi-variant experiments to evaluate and optimize product and operational initiatives
• Develop and maintain dashboards and automated reporting tools to support data-driven decision-making, partnering with data engineering on scalable data infrastructure
• Collaborate closely with data engineering teams to ensure data quality and consistency for accurate analysis and modeling
• Communicate complex technical insights effectively to both technical teams and executive stakeholders
• Provide training on utilizing data analysis and reports and foster the growth of a data-centric culture across the organization

Benefits

• Remote work from your home base and flexible hours that allow you to enjoy a great work-life balance
• Innovative, fast-paced and collaborative culture that values diverse voices and opinions
• Learning and development annual stipend
• Two company-sponsored business trips each year at international destinations we serve!