Marketing Data Scientist

Company Overview

Zicasso, founded in 2008, is a highly reviewed and top-rated luxury travel brand focused on creating custom tours, vacations, and safaris. Its travel specialists are drawn from the top 2% of boutique tour operators and travel advisors, carefully selected to design trips that match each traveler’s individual preferences. In this role, you would help turn travelers’ aspirations into reality while contributing to a company that is known for delivering exceptional luxury experiences.

The company has built a strong reputation with sophisticated travelers and has been featured by major media outlets such as The New York Times, The Wall Street Journal, BBC, Forbes, CNN, and Condé Nast Traveler. Zicasso operates as a fully remote organization across five continents, encouraging creativity, initiative, ongoing learning, and a high-performance mindset grounded in excellence, integrity, and teamwork.

The global team gathers twice a year for international retreats and summits, typically lasting one week and held in a new destination each time. These gatherings are designed to support collaboration, idea sharing, cultural connection, and firsthand learning about the places the company serves. The organization’s broader mission is to help build a more connected world through travel.

Role Overview

As a Marketing Data Scientist, you will use analytical and modeling expertise to turn data into insights that support strategic decisions. You will work with teams across the business to build data-backed solutions that improve operations, strengthen customer experiences, and lift overall performance.

This is a fully remote position, with flexibility in working hours. However, the schedule should generally align as closely as possible with California time. All work and communication are conducted in English.

Responsibilities

• Work with large datasets to identify trends, patterns, and business insights that inform key decisions.
• Create and improve predictive models for audience segmentation, pricing optimization, and demand forecasting.
• Deliver data-driven recommendations to support marketing campaigns, retention initiatives, and personalized customer communication.
• Collaborate with product, marketing, and customer experience teams to find opportunities that improve conversion and retention.
• Use advanced statistical approaches and machine learning methods to address complex business challenges and improve efficiency.
• Coordinate with data engineering to maintain reliable, consistent, and scalable data across systems.
• Record analytical methods and explain results clearly to both technical and non-technical audiences.
• Help strengthen a data-led culture by sharing insights, tools, and best practices across the organization.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a similar discipline; a Master’s or Ph.D. is preferred.
• Demonstrated experience as a data scientist in a fast-moving, data-focused environment.
• Strong background in statistical analysis, machine learning, and predictive modeling.
• Hands-on programming ability in Python or R.
• Advanced SQL skills and experience handling large datasets.
• Experience using data visualization platforms such as Tableau or Power BI.
• Strong problem-solving ability and the capacity to turn business needs into analytical solutions.
• Excellent communication skills with the ability to explain complex findings to varied audiences.
• Comfort working independently in a fully remote setting while collaborating closely with cross-functional teams.
• At least 3 years of experience embedded in, or consulting for, a marketing team.
• Ability to convert advanced statistical outputs into practical insights for non-technical stakeholders.
• Deep experience working within the Google ecosystem, including Google Ads, GA4, and Search Console.
• Proven use of BigQuery to combine multiple marketing data sources for cross-channel analysis and attribution modeling.

Perks & Benefits

• Work remotely from your home base with flexible hours designed to support work-life balance.
• Join a fast-paced, innovative, and collaborative environment that welcomes different perspectives.
• Receive a competitive compensation and benefits package, including medical, dental, and vision coverage.
• Benefit from an open PTO policy plus 10 company-paid holidays.
• Receive stock options as part of the package.
• Access a 401(k) retirement plan with employer matching.
• Enjoy heavily discounted luxury travel during the off-season.
• Get an annual stipend for learning and development.
• Take part in two company-sponsored business trips each year to international destinations served by the company.

Additional Information

Applications must be submitted in English. The role is full-time, remote, and based in the United States.