Resmed Data Scientist interview questions & guide 2026

Our interview process is designed to evaluate your ability to apply data science principles to real-world healthcare challenges. While questions vary by team, the following represent the core patterns you will encounter.

Product-Sense & Metric Design

This category evaluates your ability to translate ambiguous business problems into measurable product goals.

• How would you design a metric to measure the success of a new patient engagement feature in our mobile app?
• If you notice a sudden drop in a key product metric, what is your step-by-step process for diagnosing the root cause?

Preparation at Resmed should be systematic. You should focus on bridging the gap between your technical toolkit and the specific challenges of digital health.

Technical Proficiency – This covers your ability to write clean, efficient code and apply statistical rigor to data. Interviewers look for your mastery of SQL and your ability to articulate the "why" behind your choice of models or tests.

Product & Analytical Intuition – This evaluates your ability to see the "big picture." You must demonstrate that you understand how your analysis serves the end user, whether that user is a patient, a physician, or a healthcare provider.

Influence & Communication – Because Resmed is highly collaborative, you must be able to convey technical complexity clearly. We look for candidates who can build consensus and advocate for data-driven decisions across cross-functional teams.

The interview journey at Resmed is designed to assess both your deep technical expertise and your ability to thrive in a mission-driven, collaborative environment. You can expect a mix of technical screens, deep-dive coding sessions, and behavioral rounds. The process is rigorous but supportive, aimed at understanding how you think through problems rather than just testing rote memorization.

This timeline outlines the typical progression from initial screening to final assessment. Use this structure to pace your preparation, ensuring you have time to revisit foundational statistics and SQL syntax before your onsite or final-round interviews.

Experimentation & A/B Testing

We prioritize candidates who treat experimentation as a core product function. You will be tested on your ability to design robust tests that avoid common biases.

Be ready to go over:

• Experimentation pitfalls – Understanding selection bias, novelty effects, and network interference.
• Statistical significance – When to trust a result versus when to run the test longer.
• Metric drop diagnosis – Systematic approaches to identifying if a drop is technical, seasonal, or behavioral.

Example scenarios:

• "An A/B test shows a significant increase in engagement, but conversion is down. How do you analyze this?"
• "How do you detect and mitigate Simpson’s Paradox in your experiment results?"

SQL and Data Manipulation

Efficiency is key. You will be expected to write performant queries that handle complex, multi-layered data structures.

Be ready to go over:

• SQL Window Functions – Mastery of RANK, LEAD, LAG, and SUM() OVER().
• Data Cleaning – Handling outliers and null values in healthcare datasets.

As a Data Scientist at Resmed, your work directly fuels our product development. You will spend your time designing experiments to test new features, analyzing patterns in device data to improve patient adherence, and building models to predict clinical outcomes.

You will collaborate closely with software engineers to ensure data quality and with product managers to define what success looks like for new initiatives. You are not just a modeler; you are a consultant to the business who helps navigate the ambiguity of healthcare data to find clear, actionable paths forward.

We seek candidates who combine high-level technical skills with a passion for healthcare innovation.

• Must-have skills:
  • Advanced SQL proficiency, specifically with window functions.
  • Deep understanding of A/B testing frameworks and statistical inference.
  • Ability to communicate complex technical findings to non-technical stakeholders.
  • Experience with Python for data manipulation and modeling.
• Nice-to-have skills:
  • Experience in the medical device or digital health industry.
  • Familiarity with cloud-based data environments (e.g., AWS, GCP).
  • Background in causal inference or time-series analysis.

Q: How long does the interview process typically take? A: While it varies by location and team, most candidates complete the loop within 3 to 5 weeks.

Q: Is the technical interview focused on LeetCode-style questions? A: We focus on practical application. You will see coding questions, but they are usually designed to test your ability to solve real-world data problems rather than abstract algorithmic puzzles.

Q: What is the culture like at Resmed? A: The culture is mission-driven and collaborative. We value individuals who are curious about the intersection of data and patient care and who work well in cross-functional teams.

• Structure your thoughts: For case studies, always state your assumptions clearly before diving into the solution.
• Connect to the mission: Whenever possible, explain how your technical solution improves the patient experience.
• Be prepared for ambiguity: In real-world data science, the question isn't always clear. Ask clarifying questions to narrow down the scope of the problem.
• Know your resume: Be prepared to dive deep into any project you list, specifically focusing on your personal contribution and the business impact.

Preparing for a Data Scientist role at Resmed requires a balanced approach: sharpen your SQL and statistical foundations while honing your ability to communicate product-centric solutions. By mastering the fundamentals of experimentation and metric design, you will stand out as a candidate who can deliver immediate value to our teams. You can explore additional interview insights, practice questions, and preparation resources on Dataford.

The compensation data above reflects standard industry ranges for this role. Candidates should interpret these figures as a baseline, keeping in mind that total compensation at Resmed often includes base salary, annual bonuses, and equity, depending on your level and location.