About the Role
The role involves working closely with cross-functional teams to extract insights from complex datasets, develop machine learning models, and contribute to product improvements through analytical solutions.
Responsibilities
- Analyze large volumes of structured and unstructured data to identify patterns and trends
- Develop and validate predictive models to support business decisions
- Collaborate with engineering teams to integrate models into production systems
- Create clear data visualizations to communicate findings to non-technical stakeholders
- Support A/B testing design and interpretation of results
- Maintain data pipelines for consistent and reliable model inputs
- Monitor model performance and recommend updates as needed
- Work with product teams to define key metrics and success criteria
- Conduct exploratory data analysis to uncover new opportunities
- Document analytical processes and model logic for reproducibility
- Assist in data quality assessments and anomaly detection
- Translate business problems into quantitative research questions
- Optimize data storage and retrieval methods for efficiency
- Participate in peer reviews of code and analytical approaches
- Stay current with advancements in data science methodologies
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible hours
Team
Part of the data science and analytics division focused on marketplace optimization
What We Offer
- Opportunities for professional development and training
- Exposure to large-scale real-world datasets
- Collaborative and inclusive work culture
- Modern tech stack and development tools
- Flexible working hours and remote options
Growth Opportunities
- Clear pathways for career advancement
- Mentorship from senior data scientists
- Access to internal and external learning resources
- Regular performance feedback and goal setting
- Involvement in high-impact projects
Available for qualified candidates
