Product Data Scientist
Schmooze
Description
Develop a Unified Data Repository: Integrate data from diverse sources such as Postgres, in-app events (Mixpanel), mobile measurement platforms, and API logs into a cohesive system. Establish Key Metrics: Design and implement real-time tracking pipelines for critical performance indicators. Create Growth Projection Models: Analyze trends to forecast user growth and platform adoption. Develop User Segmentation Models: Utilize behavioral data to categorize users, enhancing personalized experiences. Enhance Recommendation and Matching Algorithms: Build models that refine our meme recommendation and matching systems for more relevant content and meaningful connections.
Eligibility Criteria
Experience: 0-5 years in data science or analytics. Prior startup experience is a plus. Technical Proficiency: Strong skills in SQL, Python, and data visualization tools. Analytical Mindset: Ability to translate complex data into actionable strategies. Innovative Thinking: Eagerness to explore unconventional solutions to traditional problems. Collaborative Spirit: Comfortable working in cross-functional teams, contributing to a shared mission.
About Schmooze
Schmooze is a meme-based AI-driven dating app that helps users find matches based on their humor preferences. Instead of swiping on people, users swipe on memes, allowing the platform’s AI to analyze their personality and suggest compatible matches. The app aims to create meaningful connections through shared humor.