About the Role
The individual will combine advanced analytics, statistical modeling, and software engineering to solve complex business problems and drive measurable impact across key platform functions.
Responsibilities
- Design and implement machine learning models to address business challenges
- Collaborate with engineering and product teams to integrate data science solutions
- Translate business requirements into analytical frameworks
- Evaluate model performance using statistical rigor
- Develop scalable algorithms for large datasets
- Conduct exploratory data analysis to uncover insights
- Support A/B testing design and interpretation
- Communicate findings to technical and non-technical stakeholders
- Optimize systems using predictive modeling
- Maintain data pipelines for model training and inference
- Ensure models comply with ethical and fairness standards
- Iterate on solutions based on feedback and results
- Contribute to technical documentation
- Stay current with advancements in machine learning
- Use statistical methods to validate hypotheses
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible scheduling
Team
Part of a data-driven team focused on marketplace innovation and user experience optimization
Why This Role Matters
- Your work will directly influence how millions of buyers and sellers interact on a global creative commerce platform.
- You’ll help shape product decisions using data, ensuring features are both impactful and sustainable.
What You’ll Bring
- A mindset oriented toward experimentation, measurement, and continuous learning.
- A passion for understanding user behavior and marketplace signals through data.
