In this episode of the Data Neighbor Podcast, discover how data science shapes both winning and losing productr. We explore key insights from staff data science expert Anagh Pal with experience at Amazon, Twitter, and Nextdoor. Learn how cross-functional collaboration, data-driven experimentation, and hypothesis testing drive product success and avoid common pitfalls. Whether you're a data scientist, product manager, or just curious about how tech products evolve, this episode reveals essential strategies and lessons.Understanding product analytics and product development is crucial for anyone in data science, product management, or product design. In this episode, we dive into the product roadmap process and how data scientists and product managers collaborate to drive innovation. Learn how data analytics roadmaps influence decision-making, A/B testing, and experimentation to build products that users love. Whether you're wondering "What is data science?", planning your data science roadmap, or looking to advance in product management, this episode provides insights into real-world applications at top tech companies. Discover the key metrics, frameworks, and cross-functional strategies used by leading product managers and data scientists to launch, refine, and scale successful tech products.Connect with Hai, Sravya, Shane, and Anagh (let us know YouTube sent you!):Hai Guan: https://linkedin.openinapp.co/4qi1rSravya Madipalli: https://linkedin.openinapp.co/9be8cShane Butler: https://linkedin.openinapp.co/b02feAnagh Pal: https://www.linkedin.com/in/anaghpal/Learn about:-The role of data science in product success and failure-How data collaboration with PMs and engineers shapes outcomes-Data experimentation, A/B testing, and analyzing key metrics-Earning trust as a data scientist in cross-functional teams-Insights from careers at Amazon, Twitter, and Nextdoor-The future of data science and product development in 2025

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