Okay, I've searched for Data Scientist roles in New York, full-time, requiring strong Python and FastAPI skills, with 3+ years of experience, in AI or data-driven application development. I have found 124 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Davia AI is fundamentally designed to bridge the gap between complex data workflows and accessible, interactive data applications without requiring frontend development expertise. The core mission here is to empower developers—especially Python users—to build and deploy data-driven tools that seamlessly integrate analytics, AI, and visualization. This means the candidate must not only be technically proficient in Python and relevant libraries but also deeply attuned to user experience and product development cycles. Responsibilities like collaborating on the product roadmap suggest the role goes beyond coding into strategic contribution, requiring a builder’s mindset with the ability to prototype impactful, user-focused solutions quickly. The need to contribute to documentation and open-source resources highlights the importance of clear communication and community engagement skills. Candidates will face challenges balancing evolving AI/ML tech with user-friendly design, and success in this role involves delivering creative, deployable apps that drive adoption and scale client workflows efficiently. Autonomy in design and iteration, coupled with collaborative input, sets the stage for performance marked by innovation, speed, and responsiveness to real-world user needs within a fast-paced startup environment.

Company Analysis:

Davia AI positions itself as an innovative, growth-driven startup situated at the intersection of data science, AI, and developer tooling. Unlike traditional enterprise software players, Davia’s value proposition lies in eliminating the complexity of frontend development to rapidly deploy customized, AI-powered apps that fit unique team workflows. This market niche suggests a company culture that is highly engineering-centric, fast-paced, and user-obsessed, valuing ownership and creative problem-solving. The emphasis on speed and simplicity within a technical tool aimed at Python developers indicates a lean environment where cross-functional collaboration with product and engineering peers is crucial. The role likely reports into a small, close-knit core team with direct visibility into product strategy, reflecting a high-impact position with opportunities to shape Davia’s future direction. For candidates, understanding Davia’s mission to ‘build software that works your way’ and embracing its agile, community-inclusive philosophy will be essential to thriving here. The lack of listed benefits suggests early-stage resource constraints but also opportunities for meaningful learning and influence as the company scales.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you took a complex data problem and turned it into a simple, user-friendly tool or application. What was your process and outcome?
• Behavioral: Describe an experience where you had to collaborate cross-functionally to influence a product roadmap or technical direction. How did you ensure your ideas were effectively integrated?
• Behavioral: Can you share an example of when you received ambiguous or incomplete requirements for a data application? How did you handle that ambiguity to deliver a successful solution?
• Behavioral: Describe a situation where you contributed to an open-source project or community resource. What motivated you, and what impact did your contribution have?
• Technical: How would you design and build an interactive data app using Python and FastAPI to enable real-time data exploration and visualization?
• Technical: Explain your approach to prototyping ML-powered dashboards or AI copilots. How do you balance performance, usability, and iteration speed?
• Technical: What experience do you have with tools like Pandas, NumPy, or scikit-learn in building production-ready data workflows? Can you highlight a project demonstrating this?
• Technical: How do you leverage SDKs or APIs when integrating multiple data sources to create seamless workflows for end users?
• Situational: Imagine you’ve built a data app using Davia’s Python SDK, but users report it’s not intuitive enough. How would you gather feedback and iterate to improve the user experience?
• Situational: You’re asked to prototype a novel AI-powered feature that’s outside your current expertise. How do you approach learning and delivering value quickly in this context?
• Situational: A team member disagrees with your chosen technical approach to a product feature. How do you resolve the conflict while keeping the project on track?
• Company Fit: Why does Davia AI’s mission to simplify building interactive data apps without frontend code resonate with you?
• Company Fit: How do you see your experience and mindset aligning with a fast-paced, high-ownership startup culture focused on engineering excellence?
• Company Fit: What excites you most about working at the crossroads of AI, developer tools, and data science, as Davia AI does?
• Candidate Questions: Can you share how the data science team collaborates with product and engineering to shape Davia’s product roadmap?
• Candidate Questions: What are the current biggest challenges you face in growing adoption of Davia’s Python SDK among data scientists and developers?
• Candidate Questions: How does Davia support continuous learning and professional growth for team members working at this rapid innovation pace?