Data Scientist

4 semanas atrás


Belém, Brasil Zicasso Tempo inteiro

Overview

Company Zicasso is a leading luxury travel company that creates personalized, life-enriching experiences for discerning travelers. Founded in Silicon Valley, our approach blends cutting-edge technology with destination expertise from top travel specialists worldwide.

As a member of our team, you contribute to experiences that earn thousands of 5-star reviews. We are recognized as "Best in Travel" by TRAVEL+LEISURE and regularly featured in publications such as The New York Times, The Wall Street Journal, BBC, and CNN. We are a fully remote company spanning five continents, fostering a dynamic global environment that values creativity, initiative, continuous learning, and teamwork.

We come together bi-annually for an international company retreat to share ideas, collaborate in person, and strengthen our culture. Learn more at

The Role

As a Data Scientist at Zicasso, you will leverage your expertise in data analysis and modeling to extract insights that drive strategic decision-making. You will work with cross-functional teams to develop data-driven solutions that improve operations, enhance customer experiences, and optimize business performance.

This is an international, fully-remote, freelance contractor position, working from home, located outside the United States. We are particularly seeking candidates based in Latin America. There is flexibility in work hours, but we expect you to generally maximize overlap with California hours (for example, until 3pm Pacific Time). The work will 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 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 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
  • Innovative, fast-paced and collaborative culture that values diverse voices and opinions
  • Learning and development annual budget
  • Two company-sponsored business trips each year to international destinations we serve
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Industries: IT Services and IT Consulting
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