Data Scientist

Role Description

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.

This is an international, fully-remote, freelance contractor position, working from home, at a location outside of the United States. We are particularly seeking candidates who are based in Latin America.

There is flexibility in your work hours but we expect that you will generally maximize your overlap with California hours (eg. 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.

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.

Requirements

• 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.

Benefits

• 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 at international destinations we serve!