Real, anonymous reports from people who interviewed for Data Scientist at Upstart Network, newest first and distilled into what to expect across the loop.
After a recruiter screen that felt straightforward, I was told the next step would be a relatively short conversation with the hiring manager—about forty-five minutes—with just one technical question at the end about A/B testing. That didn’t match how it played out. The hiring manager interview quickly turned into mostly deep, theoretical statistics, with an extremely fast speaking pace and very little clarification when I was unsure or when I interpreted something differently.
I went through a tight three-round sequence: a lead interview first, then peers, and finally HR. The overall vibe was that the company was looking for someone who could immediately contribute, so it felt like they didn’t expect much training time. That made the process feel unfriendly to more junior backgrounds—especially if I was coming in as a new graduate. Getting through it also seemed difficult, and I ultimately didn’t land an offer. Looking back, the biggest impression was how high the expectations felt right from the start, with very little slack for inexperience.
The interview process typically begins with a recruiter screen that is straightforward, followed by a technical conversation with the hiring manager. Candidates should be prepared for a quick transition into deeper statistical discussions, which may differ from initial expectations.
Candidates will face multiple technical interviews that include coding challenges and statistical problem-solving, often under time pressure. Expect a mix of algorithmic questions, probability problems, and A/B testing scenarios, with a focus on demonstrating reasoning and coding skills.
The onsite interviews are intense, often involving multiple one-on-one sessions that test both technical skills and the ability to communicate reasoning. Candidates may find themselves working through complex problems without much guidance, which can be mentally taxing.
The overall difficulty of the interview process is high, with a strong emphasis on statistical fundamentals and mental agility. Candidates should be prepared for a challenging environment that may feel less accommodating to those with less experience.
The interview dynamics can vary, with some candidates experiencing a lack of collaboration or feedback during technical discussions. It's important to be adaptable and ready to explain thought processes clearly, as the interviewers may focus on understanding reasoning rather than just correct answers.
Candidates have reported mixed experiences regarding follow-up communication after interviews, with some feeling ghosted or uncertain about next steps. It's advisable to seek clarity on the timeline and process after each stage to maintain engagement.