Resmed · 20 hours ago
Sr. Manager, Data Science
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$162K/yr - $242K/yr
8+ years expResMed is a company focused on shaping the future of healthcare through innovative solutions. They are seeking a Data Science Manager to lead their data science and AI initiatives, collaborating with stakeholders to drive model development and ensure the successful integration of AI products into production environments.
Health CareHealth DiagnosticsMedicalMedical Device
Responsibilities
Stakeholder Engagement: Build strong partnerships with AI Product stakeholders, Product Management, Engineering, and business teams to identify business challenges, opportunities, and define requirements for AI solutions
AI Model Development Roadmap: Lead and continually refine the AI model development roadmap, ensuring alignment between technical strategy, business goals, and emerging opportunities
Risk Mitigation: Proactively identify and address AI-related risks, maintaining robust standards for model governance, compliance, and ethical deployment of AI solutions
Model Development Enablement: Anticipate and overcome challenges in data science projects by bridging gaps in technology, data, platforms, or skillsets to ensure teams have the resources and support needed for timely product delivery
Standardization of Experimentation: Establish and implement standardized processes for experimentation, including documentation, validation, and performance evaluation to ensure consistent, reproducible results
Technical Review and Guidance: Participate in code and model reviews, providing technical guidance to ensure model robustness and quality while identifying areas for improvement
Collaboration with Engineering: Partner with engineering teams to ensure smooth integration, scalability, and monitoring of AI models in production environments
Opportunity Analysis: Help stakeholders pinpoint key problem areas where AI solutions can deliver measurable impact, leveraging organizational data and advanced analytics
Team Leadership and Development: Mentor and empower a team of data scientists, fostering innovation and aligning technical skills with long-term AI strategy for impactful model delivery
Continuous Technical Strategization: Monitor industry and academic breakthroughs in AI to proactively set and evolve the technical roadmap, ensuring the team is prepared to deliver state-of-the-art solutions
Qualification
Required
8+ years of industry experience in Data Science, Machine Learning Engineering, or related fields
Master's or PhD in Data Science, Machine Learning, Computer Science, Operations Research, Applied Statistics, Biomedical Informatics, or closely related disciplines
Proven experience managing and leading data science or AI teams, including mentoring junior members and developing team processes
Experience in productionization of AI models and collaboration with engineering for deployment and support
Excellent communication and stakeholder management skills
Proven ability to work across cross-functional teams and drive consensus on technical strategies and business priorities
Demonstrated expertise in model development, deployment, and performance evaluation for production-grade AI solutions
Strong foundation in probability, statistics, computer science, time series analysis, linear algebra, and discrete math
Extensive, practical experience applying advanced AI and machine learning methods—such as NLP, time-series analysis, computer vision, recommender systems, and reinforcement learning—using common algorithms, with a strong understanding of their real-world trade-offs in production settings
Extensive experience building and managing ETL pipelines and data workflows to handle large, complex structured and unstructured datasets, enabling their effective use in AI algorithm development
Previous hands-on experience in Python with a strong track record of developing, deploying, and monitoring machine learning models in cloud-based production environments, emphasizing robust evaluation and operational effectiveness
Benefits
Comprehensive medical
Vision
Dental
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)
Tuition assistance
Flexible Time Off (FTO)
11 paid holidays plus 3 floating days
14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members
Company
Resmed
ResMed provides medical devices to treat and manage sleep apnea and pulmonary diseases.
5001-10000 employees
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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (16)
2023 (10)
2022 (21)
2021 (16)
2020 (16)
Funding
Current Stage
Late StageLeadership Team
Michael "Mick" Farrell
Chief Executive Officer
Sanjay Kumar
Chief Technology Officer - ResMed SaaS
Recent News
2024-04-28
Company data provided by crunchbase