We need an English-fluent Data Scientist, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Design and oversee systems for accurate and secure data collection, storage, and management, ensuring compliance with data privacy regulations.
• Develop and maintain databases for research and operational data.
• Collaborate with research team to design surveys, experiments, and other data- gathering methodologies.
• Ensure data collection tools are accurate, dependable, and culturally appropriate for target populations.
• Use statistical and machine learning techniques to analyze complex datasets.
• Generate actionable insights and visualizations to inform decision-making and program design.
• Communicate findings through clear, compelling reports and presentations.
• Implement data quality checks and validation protocols to ensure the accuracy and integrity of data.
• Continuously monitor and refine data collection and analysis processes.
• Partner with behavioral scientists, program managers, and community organizations to align data initiatives with research and program goals.
• Train team members and stakeholders in data interpretation and application.
• Explore and apply innovative tools and methodologies to improve data processes and outcomes.
• Stay current with advancements in data science, behavioral economics, and financial health research.

Requirements:

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
• 3+ years of experience in data science, analytics, or related fields.
• Proven record of managing data collection and analysis for research or applied projects.
• Experience working with diverse populations or in community-based research settings is a plus.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong understanding of statistical methods, machine learning, and data visualization tools (e.g., Tableau, Power BI).
• Familiarity with survey platforms (e.g., Qualtrics) and data storage solutions (e.g., cloud databases).