Resmed Data Scientist Interview Questions + Guide in 2024

ResMed has always utilized cutting-edge technology to enhance people’s lives. Our SaaS solutions are pioneering a new healthcare era, transforming how individuals receive care outside hospital settings with tools that promote longer, healthier lives. With one of the industry’s most extensive actionable datasets, we empower providers with critical insights to deliver timely and effective care.

As a Senior Data Scientist, you will be at the forefront of developing AI and ML-powered solutions that impact various healthcare applications, from personalizing patient care to optimizing global supply chains. Your role will involve creating sophisticated models, collaborating with interdisciplinary teams, and influencing product development to enhance patient outcomes.

If you’re an innovator eager to make a meaningful impact, this is an outstanding opportunity at ResMed. Ready to take the next step? Explore our detailed interview guide, tackling the commonly asked Resmed data scientist interview questions, on Interview Query!

The interview process usually depends on the role and seniority; however, you can expect the following on a Resmed data scientist interview:

Recruiter/Hiring Manager Call Screening

If your CV is among the shortlisted few, a recruiter from the ResMed Talent Acquisition Team will contact you and verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

In some cases, the ResMed Data Scientist hiring manager may also be present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the ResMed Data Scientist role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around ResMed’s data systems, machine learning algorithms, ETL pipelines, and SQL queries.

The technical interview could also include discussions about various scenarios like clustering algorithms and data manipulation techniques. Be prepared to delve into both theoretical and practical aspects.

Onsite Interview Rounds

After a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the ResMed office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated through these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Scientist role at ResMed.

Typically, interviews at ResMed vary by role and team, but commonly, Data Scientist interviews follow a fairly standardized process across these question topics.

Here are some tips for acing your ResMed Data Scientist interview:

1. Prepare on Clustering Algorithms: Be ready to discuss different clustering techniques you’ve used in past projects. Understanding both the theory and practical implementation is crucial.

2. Brush Up on ML and Cloud Computing: The role requires developing solutions involving machine learning and cloud computing. Make sure you are proficient with AWS or other cloud-based tools for data pipelining, model development, and deployment.

3. Know Your Python and SQL: The technical interview will likely cover programming, specifically in Python, as well as SQL proficiency. Hands-on experience with large, distributed datasets will be highly beneficial.

What is the average salary for a Data Scientist at Resmed?

According to Glassdoor, data scientists at Resmed earn between $116K to $158K per year, with an average of $135K per year.

What does the Data Science and AI/ML team do at ResMed?

The Data Science and AI/ML team at ResMed collaborates across various departments to develop AI and ML-powered solutions that improve patient outcomes, personalize patient care, identify health risks, and optimize global supply chain operations.

What are the key responsibilities of a Senior Data Scientist at ResMed?

A Senior Data Scientist at ResMed is responsible for developing statistical and machine learning algorithms, collaborating with stakeholders, mentoring junior team members, and documenting model designs. The role focuses on creating AI/ML models for a wide range of applications, from sleep disorder treatments to chronic disease management.

What qualifications are required for a Data Scientist position at ResMed?

Required qualifications include 5+ years of industry experience in Data Science, M.S. or Ph.D. in relevant fields, expertise in machine learning techniques, proficiency in Python and SQL, and experience with cloud-based tools like AWS.

What makes ResMed an attractive place to work for Data Scientists?

ResMed offers a challenging and supportive work environment, competitive salaries, comprehensive benefits, and opportunities for personal and professional growth. The company encourages innovative thinking and a diverse, inclusive culture.

ResMed is not just a company; it’s a mission to transform healthcare through cutting-edge technology and data science. As a Data Scientist at ResMed, you will have the unique opportunity to leverage machine learning and artificial intelligence to improve patient outcomes and streamline healthcare processes.

If you want more insights about the company, check out our main ResMed Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles where you can learn more about ResMed’s interview process for different positions.

You can also check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!