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Company Overview Zicasso is a leading luxury travel company that creates personalized, life-enriching experiences for discerning travelers. Founded in Silicon Valley, our unique approach to travel blends cutting-edge technology and the unsurpassed destination expertise of our top travel specialists worldwide. As a member of our team, you'll contribute to creating experiences that consistently earn us thousands of 5-star reviews. You'll be part of a company recognized as \"Best in Travel\" by TRAVEL+LEISURE magazine and regularly featured in notable publications such as The New York Times, The Wall Street Journal, BBC, and CNN. By joining Zicasso, you'll play a key role in bringing travel dreams to life - pushing the boundaries of what's possible in luxury travel experiences. As a fully remote company spanning five continents, we foster a dynamic, progressive global work environment that values creativity, initiative, and continuous learning. We're seeking passionate, data-driven individuals who thrive in a high-performance environment and are eager to contribute to our innovative company culture underpinned by the pursuit of excellence, integrity, and teamwork. Our global team comes together bi-annually for an international company retreat in various locations, providing a unique opportunity to share ideas, collaborate in person, and strengthen our culture. This event embodies our commitment to both professional growth and the transformative power of travel. The Role As a Data Scientist at Zicasso, you will have the opportunity to leverage your expertise in data analysis and modeling to extract valuable insights that will drive the company's strategic decision-making. You will work closely with cross-functional teams to develop and implement data-driven solutions that improve operations, enhance customer experiences, and optimize business performance. There is flexibility in your work hours but we expect that you will generally maximize your overlap with California hours (e.g. until 3pm Pacific Time Zone). The work will all be conducted in English. Key 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. Required Experience 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. Qualifications 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. Proven experience mentoring and leading project teams preferred. What We Offer Remote work from your home base and flexible hours that allow you to enjoy a great work-life balance. Innovat #J-18808-Ljbffr
