Senior Data Scientist

Let’s talk about the team

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight our partners and customers, and improve the way we do business in an “AI First” fashion. On any given day, the team could be working on building sophisticated models to delivering personalized recommendations to patients to improve their sleep, identify optimal equipment and settings using our unparalleled store of billion+ nights of sleep data, proactively identify other health risk factors, or help optimize complex, global supply chain operations. 

Let’s talk about the role

The Senior Data Scientist will develop model-based solutions in multiple areas of business interest to ResMed, using the latest technologies in machine learning and cloud computing. The algorithms developed may be used in a range of use cases in personalizing the patient journey from disease identification through treatment and support in order to deliver the best health outcomes. Examples could include models for diagnostic and therapeutic applications in sleep disorder breathing, chronic obstructive pulmonary disorder, and other respiratory disorders, as well as co-morbidities and chronic disease management. 

• Develop statistical and machine learning algorithms to meet complex product requirements. Your tasks will include defining hypotheses, executing necessary tests and experiments, evaluate, tune and optimize algorithms and methods always with an eye towards implementation ease, scalability, and robustness in a live environment. 
• Work closely with stakeholders from Product Management, Engineering, and other business stakeholders to create impactful, intelligent features and products. 
• Collaborate closely with other team members including other Data Scientists, Machine Learning Engineers, and Data Engineers and “own” the end to end process.  
• You will be given wide authority to develop creative model-based solutions but will also be held to high quality and accountability standards. 
• You will mentor and train more junior team members and serve as a go-to expert in your area of statistics and machine learning. 
• Thoroughly and diligently document the model design, experiments, tests, validations, and live metrics and outcomes.  You may be asked to write documents for use in the preparation of intellectual property and technical publications. 

Let's talk about you

• 5+ years’ industry experience in Data Science.
• M.S or PhD in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics. 
• Deep grounding in machine learning techniques including regression methods, classification, Neural Networks, Deep Learning, as well as knowledge of clustering and unsupervised learning, time series forecasting and optimization methods.
• Rigorous academic or experiential knowledge of the mathematical essentials for Data Science.
• Technical experience in building intelligent data products, prediction models and recommendation engines using ML/AI.
• Solid foundation with development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and deployment of models. 
• Proficient with programming in Python and using Linux. 
• Hands-on experience handling large and distributed datasets.
• Strong database skills and experience, including experience with SQL programming. 
• Experience with AWS or other cloud-based tools and technologies for data pipelining, model development, and deployment.

We are shaping the future at ResMed, and we recognize the need to build on and broaden our existing skills and continue to attract and retain the world’s best talent. We work hard to offer holistic benefits packages, provide flexible work arrangements, cultivate a workforce culture that allows employees to grow personally and professionally, and deliver competitive salaries to our team members. Employees scheduled to work 30 or more hours per week are eligible for benefits. This position qualifies for the following benefits package:  comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance. Employees accrue three weeks Paid Time Off (PTO) in their first year of employment, receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members. Individual pay decisions are based on a variety of factors, such as the candidate’s geographic work location, relevant qualifications, work experience, and skills. 

This role is eligible to receive an annual cash bonus payment based on company, business unit, and/or individual performance. 

Base Pay Range for this position: 

$130,000- $194,000

For remote positions located outside of the US, pay will be determined based the candidate’s geographic work location, relevant qualifications, work experience, and skills. 

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.