Deepnote, a Y Combinator-backed startup, is hiring for various roles (engineering, design, product, marketing) to build a collaborative data science notebook platform. They emphasize a focus on real-time collaboration, Python, and a slick user interface aimed at making data science more accessible and enjoyable. They're looking for passionate individuals to join their fully remote team, with a preference for those located in Europe. They highlight the opportunity to shape the future of data science tools and work on a rapidly growing product.
Deepnote, a company that participated in Y Combinator's Summer 2019 cohort, is actively seeking talented individuals to join their team in their mission to revolutionize the data science notebook experience. They are building a collaborative, cloud-based notebook environment specifically designed for data scientists, aiming to surpass existing solutions and address the limitations often encountered in traditional data science workflows.
Deepnote highlights its commitment to crafting a truly collaborative platform where data scientists can seamlessly work together in real-time, sharing their work, insights, and code effortlessly. This collaborative focus extends to integrated version control, enabling efficient tracking and management of project evolution and collaborative contributions. Beyond collaboration, Deepnote emphasizes its focus on performance, aiming to provide a responsive and powerful environment for complex computations and large datasets, potentially incorporating features like optimized execution and scalable infrastructure. Furthermore, Deepnote seeks to streamline the often cumbersome processes of sharing and presenting data science work, allowing for the easy generation of shareable reports and presentations directly from the notebook environment itself.
The company is looking to fill a range of roles, suggesting expansion and active development of their platform. They are specifically targeting individuals located in Europe, indicating a concentrated effort to build a team in this region. While the specific roles are not detailed in the provided link, the overall message conveys a desire for passionate and skilled individuals who are eager to contribute to the evolution of data science tooling and shape the future of interactive data analysis. Deepnote presents itself as a company driven by a desire to improve the daily workflow of data scientists and contribute meaningfully to the field. They are inviting individuals who share this passion and are excited by the prospect of building a superior platform for data exploration, analysis, and collaboration to apply and join their team.
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https://news.ycombinator.com/item?id=43371960
HN commenters discuss Deepnote's hiring announcement with a mix of skepticism and cautious optimism. Several users question the need for another data science notebook, citing existing solutions like Jupyter, Colab, and VS Code. Some express concern about vendor lock-in and the long-term viability of a closed-source platform. Others praise Deepnote's collaborative features and more polished user interface, viewing it as a potential improvement over existing tools, particularly for teams. The remote-first, European focus of the hiring also drew positive comments. Overall, the discussion highlights the competitive landscape of data science tools and the challenge Deepnote faces in differentiating itself.
The Hacker News post about Deepnote hiring has generated a moderate number of comments, mostly focusing on comparisons to existing data science notebook solutions and some discussion about the company's remote work policies.
Several commenters compare Deepnote to Jupyter, a popular open-source notebook environment. Some express skepticism about Deepnote's ability to significantly improve upon Jupyter, questioning whether the added features justify a paid product. One commenter specifically asks about real-time collaboration features and how they compare to Jupyter's existing collaborative capabilities. Another wonders about the long-term viability of building a business on top of open-source tools.
The remote work aspect of the job posting also attracts attention. One commenter asks for clarification on Deepnote's remote work policy, specifically inquiring about the requirement to be located in Europe. This sparks a brief discussion about the complexities of international hiring and tax laws. Another commenter expresses a general preference for companies with clear and transparent remote work policies.
A few commenters share their positive experiences using Deepnote, praising its user-friendly interface and collaborative features. They highlight the benefits of real-time collaboration and the seamless integration with other data science tools.
While there isn't a single overwhelmingly compelling comment, the collection of comments offers a balanced perspective on Deepnote. Potential users express both excitement and skepticism, highlighting the need for Deepnote to clearly differentiate itself from existing solutions and demonstrate its value proposition. The discussion around remote work also underscores the importance of clear communication regarding company policies, particularly in a competitive hiring environment. Overall, the comments provide valuable insights into the perceived strengths and weaknesses of Deepnote from the perspective of the Hacker News community.