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Established in 2008, Zicasso is the most-reviewed and highest-rated luxury travel company, specializing in immersive custom tours, vacations, and safaris. Our Zicasso travel specialists are the world’s top 2% of boutique tour operators and travel agents, pre-vetted and handpicked to compete in creating itineraries tailored to each of our travelers’ unique preferences. Joining Zicasso, you'll play a key role in bringing our travelers’ dreams to life—pushing the boundaries of what’s possible with luxury travel experiences.

As a member of our team, you’ll be part of a company recognized for its strong brand reputation among discerning travelers. Our authority in the luxury travel industry is consistently affirmed through features in top media outlets, including The New York Times, The Wall Street Journal, BBC, Forbes, CNN, and Condé Nast Traveler, to name a few. See our press coverage here.

We are a fully remote company spanning five continents, and 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 a consistent pursuit of excellence, integrity, and teamwork.

Our global team comes together biannually for international retreats and summits. These are typically held for a week at a new location each time, providing opportunities to share ideas, collaborate in person, and strengthen our culture, all while learning firsthand about the destinations we serve. These events embody our commitment to both professional growth and the transformative power of travel.

Join us in shaping the future of luxury travel while working towards our vision—creating a more connected humanity through travel. To learn more, visit https://www.zicasso.com/careers.

As a Marketing 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.

The work will all be conducted in English.

• Analyze large datasets to uncover trends, patterns, and insights that drive strategic business decisions.
• Develop and refine predictive models for customer segmentation, pricing optimization, and demand forecasting.
• Provide actionable data insights to support targeted marketing campaigns, customer retention strategies, and personalized communication.
• Partner with product, marketing, and customer experience teams to uncover opportunities for conversion and retention improvement.
• Apply advanced statistical methods and machine learning techniques to solve complex business problems and improve operational efficiency.
• Collaborate with data engineering to ensure data quality, consistency, and scalability across systems.
• Document methodologies and communicate findings clearly to both technical and non-technical stakeholders.
• Contribute to fostering a data-driven culture by sharing insights, tools, and best practices across teams.

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Master or Ph.D. preferred.
• Proven experience as a Data Scientist in a fast-paced and data-driven environment.
• Expertise in statistical analysis, machine learning, and predictive modeling techniques.
• Proficiency in programming languages such as Python or R.
• Strong SQL skills and experience working with large-scale datasets.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent problem-solving skills and ability to translate business requirements into analytical solutions.
• Strong communication skills and ability to present complex findings to both technical and non-technical stakeholders.
• Ability to thrive in a fully remote environment, working independently while maintaining close collaboration with cross-functional teams.
• Minimum of 3 years of experience embedded within or consulting for a marketing department. Ability to translate complex statistical findings into actionable insights for non-technical stakeholders
• Deep technical expertise in navigating and extracting data from the Google ecosystem (Google Ads, GA4, and Search Console). Proven track record of using BigQuery to join disparate marketing datasets for cross-channel analysis and attribution modeling.

• Hands-on experience applying Bayesian modeling to build, fine-tune, or scale open-source Marketing Mix Modeling (MMM) frameworks (e.g., Google’s Meridian, pymc-marketing, Meta’s Robyn) in Python or R.

• 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
• Competitive compensation and benefits package (medical, dental, vision)
• Open Paid Time Off policy and 10 days of company-paid holidays
• Stock options package
• 401K retirement plan with employer matching
• Substantially discounted luxury travel during off-season
• Learning and development annual stipend
• Enjoy two company-sponsored business trips each year at international destinations we serve!

Zicasso is an Equal Opportunity Employer. Applicable to all locations, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by local law. We provide reasonable accommodations to qualified individuals with disabilities; if you need an accommodation to participate in the application process, please contact careers@zicasso.com.

At Zicasso, we value a highly personalized recruitment journey. For recruiting purposes, we may use AI tools to review, transcribe, and record application materials and interviews, but this is always under human review and judgment. All final hiring determinations are made exclusively by our hiring teams.