Data Scientist
Z
ZicassoLuxury Travel
Sao Paulo, Brazil. Colombia. Argentina. Mexico, maximize your overlap with California hours (eg. until 3pm Pacific Time Zone)ContractMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- Minimum 5 years
- Required Skills
- PythonSQLArtificial IntelligenceMachine LearningMicrosoft Power BITableauRNLP
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.
- 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.
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.
- Collaborate cross-functionally with product, marketing, and customer experience teams to identify data-driven opportunities.
- 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.
- Collaborate closely with data engineering teams to ensure data quality and consistency.
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
