Hearts & Science interview process & guide 2026
Everything we know about interviewing at Hearts & Science: the process stage by stage, what each round tests, and compensation by level.
- 1Phone Screen
- 2Technical Assessment
- 3Technical Interview
- 4In-Person and On-Site Interviews
Interviewing at Hearts & Science
Hearts & Science runs a multi-step interview process that mixes a recruiter phone screen with subsequent interviews and technical evaluation. Across the reported roles, you can expect repeated focus on technical skills plus behavioral or cultural fit, rather than a single technical-only loop.
The technical emphasis is clear in the topic data: data analysis is the top-weighted topic, and SQL and Python are also heavily represented. Reporting, dataset understanding, and dataset querying concepts show up often, alongside technical assessments and problem solving.
What makes this loop distinctive is the pairing of technical depth with communication. Project-based communication and problem solving are prominent in the soft skills and leadership category, and there are resume walkthroughs and zoom or virtual interview skills in the technical mix. Candidate outcomes here show no reported offers in the sample, so you should treat this as a process that screens hard and may be selective.
You should prepare to talk through projects and datasets, not only to solve problems. The topic mix includes both data analysis plus reporting and dataset understanding, and it also includes project-based communication and resume walkthroughs.
How hard is the Hearts & Science interview?
Aggregated from 69 interview experiencesAbout 1 in 2 candidates with a known outcome convert.
The interview process, end to end
4 rounds · based on 69 candidate reports- 1Phone Screen
You will have an initial recruiter call to assess your basic qualifications and fit for the role. Prepare a clear summary of your background and how it connects to data analysis, SQL, Python, and communication in project settings.
- 2Technical Assessment
You will be evaluated on technical competencies through coding challenges and problem-solving questions. Center your preparation on data analysis tasks, SQL and Python, and how you interpret and report results from datasets.
- 3Technical Interview
There is an interview with your future supervisor that focuses on technical skills and problem-solving. Expect discussion of dataset understanding, dataset querying concepts, and potentially how you extract insights and interpret data outputs.
- 4In-Person and On-Site Interviews
You will go through multiple rounds that cover technical skills, behavioral competencies, and cultural fit. The reported process also includes multiple rounds with discussions with team members and a panel interview, so be ready to explain your resume and projects clearly while demonstrating both analysis and communication.
What Hearts & Science actually tests for
How prominent each skill is across reported loopsFind the guide for your role
This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Hearts & Science interviewers actually ask that position, the loop structure, and pay by level.
What Hearts & Science pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
What separates offers from rejections
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Do this
- Be ready to demonstrate end-to-end data analysis, including how you interpret results and explain your reasoning. The strongest signal in the topic data is data analysis, followed by reporting and dataset understanding.
- Practice SQL and Python together, with extra attention to dataset querying concepts. SQL is near the top of the topic list, and Python is also highly represented.
- Prepare to discuss your prior work step by step in a project framing, emphasizing what you learned and how you communicated it. Project-based communication and resume walkthroughs are prominent.
- If you get a technical assessment or technical interviews, expect coding challenges or problem-solving style questions tied to analysis. Technical assessments and technical questioning are both explicitly listed.
Avoid this
- Do not focus only on generic coding or isolated problems. The topic data repeatedly ties technical questions to dataset understanding, querying concepts, reporting, and data interpretation.
- Do not treat soft skills as an afterthought. Problem solving and project-based communication are prominent, and there are interview components aimed at cultural fit and behavioral competencies in the in-person and on-site portions.
- Do not give short answers without showing your understanding of the dataset and the output. Dataset understanding, dataset querying concepts, and data interpretation appear in the topic mix.
- Do not assume there will be an easy path to an offer. In the provided candidate reports, the offer rate is 0.0%, and the difficulty distribution is mostly medium with a small hard share.
Hearts & Science interview FAQ
Answered from real candidate and workplace dataWhat is the interview loop like at Hearts & Science?
The reported steps include a recruiter phone screen, then in-person interviews and an on-site component that can include panel or team member discussions, plus a technical assessment. There are also technical interviews, including one with your future supervisor focused on technical skills and problem-solving.
How hard are the interviews, based on candidate reports?
Difficulty in the 69 reports is mostly medium, with 31.8% easy, 65.2% medium, 3.0% hard, and 0.0% very hard. This suggests you should be ready for broadly solid technical screening rather than purely trick questions.
What topics should I prioritize most?
Prioritize data analysis first, then SQL and Python. After that, focus on reporting, dataset understanding, and technical assessments, plus problem solving and project-based communication for the non-pure-technical part.
Are there technical assessments or coding challenges?
Yes. A technical assessment step is reported, described as evaluation through coding challenges and problem-solving questions. A separate technical interview is also reported, focused on technical skills and problem-solving.
What outcomes should I expect, based on the data?
In the provided candidate reports, the offer rate is 0.0%. Positive sentiment is 56.5%, but the data does not explain why offers were not generated in that sample.
Should I worry about virtual interview skills if I am interviewing from home?
Zoom or virtual interview skills are explicitly listed as a technical topic category contributor. So you should prepare to communicate clearly and handle the format, even if you later reach in-person or on-site rounds.
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