Senior Data Scientist @ ResMed | Jobright.ai
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ResMed · 3 days ago

Senior Data Scientist

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Responsibilities

Develop statistical and machine learning algorithms to meet complex product requirements. Define hypotheses, execute 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.
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. Write documents for use in the preparation of intellectual property and technical publications.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningNeural NetworksDeep LearningClusteringUnsupervised LearningTime Series ForecastingOptimization MethodsMathematical EssentialsData ProductsPrediction ModelsRecommendation EnginesML/AIData Analytics SystemsData ExplorationFeature EngineeringModel BuildingPerformance EvaluationModel DeploymentPython ProgrammingLinuxLarge DatasetsDistributed DatasetsDatabase SkillsSQL ProgrammingAWSCloud-Based ToolsData Pipelining

Required

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.

Benefits

Comprehensive medical
Vision
Dental
Life insurance
AD&D insurance
Short-term disability insurance
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)
Tuition assistance
Paid Time Off (PTO)
Paid holidays
Caregiver leave

Company

ResMed provides medical devices to treat and manage sleep apnea and pulmonary diseases.

H1B Sponsorship

ResMed has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (6)
2022 (11)
2021 (18)
2020 (24)

Funding

Current Stage
Late Stage

Leadership Team

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Michael "Mick" Farrell
Chief Executive Officer
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Sanjay Kumar
Chief Technology Officer - ResMed SaaS
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Company data provided by crunchbase
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