Gopuff is looking to solve impactful problems using data science to dramatically change the way people purchase their daily goods, specifically in the areas of Search, Browse, and Sponsored Recommendations.
Requirements
- Expert knowledge of statistical and machine learning techniques
- Expect knowledge of Data Science libraries in a programming or scripting language
- Proficient in Python + related ML libraries and frameworks (Ex: PyTorch)
- Proficient in SQL and working with large datasets
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks) as a plus
- Experience about building ranking and recommendation models in production environments as a plus
- Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems
Responsibilities
- Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals
- Work closely with product and engineering team to develop and deploy solutions with cross-functional support
- Build models that support real-time events and internal stakeholder decisions across the business
- Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data solutions
- Present work to business and engineering leadership
- Refine existing systems in retrieval, ranking and query understanding to enhance users’ discovery experience
- Are committed to automation and productionalized solutions whenever possible
Other
- MS or PhD new grad in statistics, mathematics, computer science or related field
- Excellent communication and presentation skills (to both technical and business audiences)
- Strong Desire to learn and be able to learn quick
- Flexible PTO
- 25% employee discount & FAM Membership
