Company Overview
Established in 2008, Zicasso is a top‑rated luxury travel company specializing in custom tours, vacations, and safaris. Our travel specialists are among the world’s top 2% of boutique tour operators and travel agents, pre‑vetted and hand‑picked to create itineraries tailored to travelers' unique preferences. Zicasso is a fully remote company spanning five continents, valuing creativity, initiative, and continuous learning.
The Role
As a Data Scientist, you will leverage data analysis and modeling to extract insights that drive strategic decision‑making, working with cross‑functional teams to enhance operations, customer experience, and business performance. This is an international, fully remote freelance contractor position based outside the United States, preferably in Latin America. You will work in English, maximize overlap with California hours, and maintain flexibility within those constraints.
Key Responsibilities
- 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.
- Build and enhance recommendation systems to personalize travel experiences and increase customer engagement.
- Design, implement, and analyze A/B tests and other experiments to evaluate product and operational initiatives.
- Analyze user behavior across the entire customer journey to identify friction points, optimize conversion funnels, and uncover growth opportunities.
- 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.
- Create and maintain data pipelines, dashboards, and automated reporting systems using best‑in‑class tools.
- 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.
Required Experience
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field. Master’s or Ph.D. preferred.
- Proven experience as a Data Scientist in a fast‑paced, 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, translating complex statistical findings into actionable insights.
- Deep technical expertise navigating and extracting data from the Google ecosystem (Google Ads, GA4, Search Console) and using BigQuery for cross‑channel analysis and attribution modeling.
What We Offer
- Remote work from your home base with flexible hours for a healthy work‑life balance.
- Innovative, fast‑paced and collaborative culture valuing diverse voices and opinions.
- Annual learning and development budget.
- Two company‑sponsored business trips each year to international destinations we serve.
All applications should be submitted in English.