Data Scientist
Zicasso
- Brasil
- Contrato
- Período integral
- 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.
- 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.
- 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.
- 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!