hims & hers Data Scientist interview questions & guide 2026

The following questions are representative of the patterns observed in interviews for Data Scientist roles at hims & hers. Use these to understand the focus areas of our technical and product evaluations.

Product Sense & Metric Design

These questions test your ability to align technical analysis with business goals and user needs.

• How would you design a metric to track the success of a new patient onboarding feature?
• A key engagement metric has dropped by 10% overnight. How do you approach the investigation?

Preparation should focus on your ability to connect technical rigor with business outcomes. At hims & hers, we look for candidates who don't just solve the problem, but understand why the problem matters to our patients.

Technical Competency – We expect deep proficiency in SQL, particularly window functions, and a strong grasp of statistical inference. You must be comfortable manipulating large datasets to extract actionable insights.

Product Intuition – You will be evaluated on your ability to design robust product metrics and your approach to experimentation. Focus on articulating how you would measure the success of a feature from both a user experience and a business health perspective.

Communication & Influence – Data is only as valuable as the decisions it drives. You must demonstrate the ability to translate complex statistical significance findings into clear narratives for product managers and leadership.

Problem-Solving & Bias for Action – We value candidates who can diagnose issues under pressure, such as a metric drop, by systematically narrowing down variables and identifying root causes.

The interview process at hims & hers is designed to be efficient yet rigorous, focusing on your ability to apply data science to real-world product challenges. You can expect a series of conversations that transition from initial screening to deeper technical assessments and behavioral discussions. Our team values candidates who are transparent about their experience and who show a genuine interest in the intersection of technology and healthcare.

The visual timeline above outlines the typical progression from screening to final rounds. Use this to structure your preparation, ensuring you have enough time to review both your technical fundamentals and your past projects. Keep in mind that for specific roles, the intensity of technical rounds may scale with seniority.

Product Metrics & Diagnosis

We look for a structured approach to defining and monitoring the health of our platform. You must be able to define KPIs that reflect both user satisfaction and business growth.

Be ready to go over:

• Metric design frameworks – How to choose between vanity metrics and actionable North Star metrics.
• Root cause analysis – The systematic process of diagnosing a metric drop.

As a Data Scientist, your day-to-day involves acting as a strategic partner to our product and engineering teams. You will spend significant time designing A/B tests to validate product hypotheses and analyzing the results to inform the next iteration of the user experience. You will also own the monitoring of key health metrics, ensuring that our dashboards provide an accurate, real-time reflection of business performance.

Collaboration is constant. You will frequently work with product managers to define what "success" looks like for new features and with engineers to ensure that the data we need to measure that success is being captured correctly. You are the voice of the data in the room, responsible for ensuring that product decisions are grounded in evidence rather than intuition.

We are looking for individuals who combine strong technical foundations with a pragmatic approach to problem-solving.

• Must-have skills:

  • Advanced SQL proficiency, including complex joins and window functions.
  • Solid understanding of A/B testing principles and statistical analysis.
  • Experience with product metric design and dashboarding.
  • Ability to communicate technical findings to non-technical stakeholders.

• Nice-to-have skills:

  • Experience in the telehealth, e-commerce, or healthcare technology sectors.
  • Familiarity with common machine learning frameworks for predictive modeling.
  • Proven track record of driving product changes through experimentation.

Q: How can I best prepare for the technical rounds? A: Focus on practicing SQL window functions and A/B testing scenarios. Many candidates find it helpful to walk through their past projects and explain the specific statistical methods they used to validate their results.

Q: What is the company culture like? A: hims & hers is fast-paced and data-driven. We value individuals who are comfortable with ambiguity and who take initiative to improve our internal processes and tools.

Q: How long does the interview process typically take? A: While it can vary based on the specific team and seniority, most candidates experience a streamlined process that moves quickly once the initial screening is complete.

Q: Is this role fully remote? A: Please verify the specific location requirements for your application, as some roles are region-specific. Always clarify this early in the process to ensure alignment.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions. This keeps your answers concise and impactful.
• Be prepared to defend your choices: When discussing a past project, be ready to explain why you chose a specific statistical test or metric over alternatives.
• Ask meaningful questions: Use the end of your interview to ask about how the team uses data to influence product strategy; this shows you are thinking like a partner, not just a contributor.

The Data Scientist role at hims & hers is an exceptional opportunity to influence the future of digital healthcare. By mastering the fundamentals of A/B testing, SQL, and product metric design, you will be well-positioned to demonstrate your value to our team. Remember that we are looking for curious, rigorous thinkers who can translate data into tangible patient benefits.

You can explore additional interview insights, practice questions, and preparation resources on Dataford. We encourage you to use these tools to refine your narrative and practice your technical delivery. With focused preparation, you can confidently showcase how your expertise aligns with our mission.

The salary module above provides insight into the compensation bands for this role. These ranges are influenced by your level of experience and the specific location of the position. Use this information to benchmark your expectations and ensure they align with the seniority of the role you are targeting.