Your First 90 Days as a Data Scientist | Towards Data Science

Towards Data Science

by Yu Dong

February 14, 2026

AI-Generated Deep Dive Summary

Starting a new role as a data scientist or manager can be challenging, especially in fast-paced environments like DoorDash. The first 90 days are crucial for building connections, understanding the business context, and establishing trust. A successful onboarding period requires intentional effort to navigate these areas effectively. Building strong connections is vital. Frequent meetings with managers and cross-functional partners help clarify expectations and priorities. Setting up regular check-ins with key stakeholders allows new hires to gather insights, understand project dynamics, and contribute meaningfully over time. Additionally, engaging with direct reports early on helps establish trust and aligns team goals with individual aspirations. Understanding the domain context is another critical focus. Data scientists must delve into business processes and projects through conversations, documentation, and AI tools. While diving into numerous documents can be overwhelming, AI tools provide a holistic overview, saving time and enhancing efficiency. This foundation enables data-driven decision-making and impactful contributions. For those in managerial roles, onboarding involves learning team projects, managing expectations, and aligning career goals with organizational objectives. Regular 1:1s and project meetings facilitate this process, ensuring alignment and collaboration. This approach matters to AI professionals as it sets the stage for long-term success by fostering a deep understanding of business needs and leveraging technology effectively. Balancing human connection with technical expertise ensures data scientists can drive impactful results, making their contributions invaluable to the organization.

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Originally published on Towards Data Science on 2/14/2026