About the Role
This role involves leading complex analytical projects, developing scalable data models, and collaborating with cross-functional teams to inform strategy and improve systems through data science expertise.
Responsibilities
- Lead end-to-end data science initiatives from concept to deployment
- Develop and deploy predictive and statistical models
- Collaborate with engineering and product teams to integrate models into production
- Translate business problems into analytical frameworks
- Design and analyze experiments to validate hypotheses
- Communicate findings to technical and non-technical stakeholders
- Identify opportunities for data-driven improvements
- Ensure data quality and integrity across systems
- Mentor junior team members and promote best practices
- Drive adoption of advanced analytics across departments
- Optimize data pipelines for performance and scalability
- Monitor model performance and recommend updates
- Conduct deep-dive analyses on user behavior and trends
- Support strategic planning with quantitative insights
- Evaluate risks and uncertainties in data interpretations
- Maintain documentation for models and methodologies
- Stay current with industry advancements in data science
- Apply machine learning techniques to real-world problems
- Ensure compliance with data governance policies
- Work with large-scale datasets efficiently
- Balance innovation with practical implementation
- Use statistical reasoning to guide decision-making
- Prioritize projects based on business impact
- Contribute to roadmap planning for analytics capabilities
- Foster a culture of experimentation and learning
Compensation
Competitive salary and equity package commensurate with experience
Work Arrangement
Remote position based in Mexico with flexible hours within time zone alignment
Team
Part of a growing data science team that partners closely with product, engineering, and business functions
About the Team
- The data science team works at the intersection of product development and business strategy, delivering insights that shape decision-making across the company.
- Members collaborate closely with engineers, product managers, and executives to build data-informed solutions.
What We Value
- We prioritize intellectual curiosity, clear communication, and the ability to drive results in complex environments.
- Candidates should demonstrate a balance of technical depth and practical judgment.
