Product Data Scientist, Search Quality

📋 Description

• • Join Perplexity as a Product Data Scientist, Search Quality, and play a pivotal role in shaping the future of our advanced search technologies. In this dynamic position, you will be instrumental in identifying and leveraging robust and sensitive signals derived from user behavior. Your expertise will be crucial in enhancing our ability to gather insights from A/B experiment data more efficiently, directly impacting the evolution of our search product.
• • You will be responsible for developing deep, data-driven insights from intricate user behavior patterns. These insights will serve as the foundation for informing our product roadmap, guiding strategic decisions, and ultimately accelerating user adoption of new features and improvements. Your work will translate complex user interactions into actionable intelligence that drives product innovation.
• • A core aspect of your role will involve formulating well-defined hypotheses related to search quality and user experience. You will then rigorously validate these hypotheses by designing, implementing, and meticulously analyzing A/B tests. This process requires a keen understanding of experimental design and statistical inference to ensure reliable and meaningful results.
• • You will be tasked with determining the most appropriate metrics and visualizations for tracking key performance indicators related to search quality and user engagement. This includes defining what success looks like, implementing these metrics within dashboards, and ensuring that the data is presented in a clear, concise, and actionable manner for various stakeholders.
• • Design and develop new data pipelines that are essential for delivering superior ranking quality. This involves exploring innovative ways to process and analyze vast amounts of data, ensuring the integrity and efficiency of the data flow from source to insight.
• • Your responsibilities extend to discovering novel signals that can improve search relevance and user satisfaction. This might involve exploring new data sources, developing sophisticated feature engineering techniques, and understanding the nuances of user intent.
• • You will be involved in producing critical metrics that quantify the performance of our search algorithms and user experience. This requires a strong analytical mindset and the ability to translate raw data into meaningful business and product outcomes.
• • Construct and refine data labeling pipelines, incorporating both human feedback and Large Language Model (LLM) outputs. This hybrid approach is vital for creating high-quality datasets necessary for training and evaluating advanced machine learning models, particularly in the context of search relevance and natural language understanding.
• • Collaborate closely with product managers, engineers, and other data scientists to translate business needs into data science solutions. You will act as a bridge between user behavior, experimental results, and product strategy, ensuring that data insights are effectively integrated into the product development lifecycle.
• • Proactively identify opportunities for improving search algorithms, ranking models, and user interface elements based on your analysis of user data and experiment outcomes.
• • Contribute to the continuous improvement of our data infrastructure and analytical methodologies, staying abreast of the latest advancements in data science, machine learning, and search technology.
• • Champion a data-informed culture within the product team, advocating for rigorous experimentation and evidence-based decision-making.
• • You will have the opportunity to work with cutting-edge technologies and contribute to a product that is redefining how people access and interact with information. Your impact will be directly visible in the quality and effectiveness of Perplexity's search experience.
• • This role demands a blend of technical expertise, analytical rigor, and product intuition. You will be empowered to take ownership of key initiatives, drive research, and deliver impactful solutions that enhance the core search functionality of Perplexity.
• • Analyze the performance of different ranking strategies and user interaction patterns to identify areas for optimization and innovation.
• • Develop and maintain documentation for data models, pipelines, and analytical processes to ensure reproducibility and knowledge sharing.
• • Present findings and recommendations to technical and non-technical audiences, effectively communicating complex data insights in an understandable format.
• • Continuously monitor and evaluate the health and performance of search features, providing timely alerts and solutions for any degradation.
• • Contribute to the development of best practices for data analysis, experimentation, and model evaluation within the team.
• • Your work will directly influence the user's journey, ensuring they find the information they need quickly, accurately, and efficiently, thereby fostering trust and loyalty towards the Perplexity platform.