Senior Data Scientist (Hybrid as needed) jobs in United States
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Northwell Health · 9 hours ago

Senior Data Scientist (Hybrid as needed)

Northwell Health is a healthcare organization seeking a Senior Data Scientist to plan, implement, and maintain data-driven solutions that impact patient care and healthcare delivery. The role involves overseeing data science projects, communicating with stakeholders, and ensuring the quality and efficiency of data science initiatives.

ConsultingHealth CareHealth DiagnosticsMedicalPublishing
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H1B Sponsor Likelynote

Responsibilities

Ready to own the end-to-end lifecycle of complex data science projects/programs including problem scoping, due diligence, evaluation/validation/model design and development, deployment to production systems, monitoring prediction output, and measuring value
Serve as the primary point of contact between the data science team and clinical, research, and administrative stakeholders
Have strong communication skills to act as the bridge between technical and non-technical team members and stake holders
Support leadership in technical and strategic analyses for decision making related to machine learning/AI
Mentor and teach junior team members as well as non-data science team members
Develop and enforce coding, documentation, governance standards
Guides the design, implementation, and maintenance of data science models and applications
Guides team members to apply data science methodologies, including predictive modeling and machine learning, data analytics and visualization, and usability and design, to departmental, service line, and enterprise applications and functions
Synthesizes complex data-related problems into actionable business and/or clinical strategy, and communicate findings to appropriate end-users and stakeholders
Develops specifications to support the design of new or modified data science projects, with a focus on data-driven optimization, enhancement, and development
Evaluates projects, systems, and initiatives at the department, service line, and enterprise level; ensures projects and their outputs enhance clinical quality, patient safety, and institutional efficiency, focusing on all aspects of data science, including data gathering and wrangling, exploratory data analysis, data modeling and machine learning, and model implementation and evaluation; ensures high quality execution of all proposed projects
Knowledgeable in present and planned data science projects and maintains voice of the customer in all project initiatives
Serves as the link between the clinical staff (customer) requirements and IS capabilities
Assists in ensuring that systems are implemented to support organization initiatives and goals to improve the quality of patient care, to maximize patient safety, and to provide operational efficiencies
Serves as a resource to the leadership; demonstrates familiarity with current hospital information systems
Operates under limited guidance and work assignments involve moderately complex to complex issues where the analysis of situations or data requires in-depth evaluation of variable factors
Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions

Qualification

Machine LearningNatural Language ProcessingDeep LearningCloud ComputingStatistical AnalysisData Science MethodologiesETL PipelinesDevOps/MLOpsCommunication SkillsPresentation Skills

Required

Bachelor's Degree required, or equivalent combination of education and related experience
3-5 years of relevant experience, required

Preferred

Clear and effective communication and presentation skills are highly preferred
Comfortable presenting to non-technical/clinical stakeholders and executive leadership
Strong portfolio of data science projects with organizational-level impact (healthcare related preferred)
Experience with cloud computing (GCP, Vertex AI preferred)
Strong experience with orchestration/ETL pipelines (e.g. Airflow, Prefect, Luigi, Kubeflow) with preference for Airflow
Strong experience with DevOps/MLOps (e.g. containerization, CI/CD, feature stores, data lineage)
Advanced/expert level proficiency in statistical analysis, machine learning techniques, model evaluation
Advanced/expert level proficiency in modern machine learning frameworks (e.g. scikit-learn), deep learning frameworks (e.g. Pytorch)
Advanced/expert level experience in training/deploying embedding models, fine-tuning large language models (various tasks), retrieval-augmented generation, prompt and context engineering, and evaluation of generative AI systems

Company

Northwell Health

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Northwell Health is New York State’s largest health care provider and private employer, with 28 hospitals, about 1,000+ outpatient facilities and more than 16,000 affiliated physicians.

H1B Sponsorship

Northwell Health 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
2021 (18)
2020 (13)

Funding

Current Stage
Late Stage
Total Funding
$58.3M
Key Investors
National Institute of Mental HealthNational Human Genome Research InstituteBreakthrough Discoveries
2025-12-02Grant· $4M
2025-10-23Grant· $3.2M
2025-06-16Grant· $2.3M

Leadership Team

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Michael Dowling
President and CEO
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Nick Stefanizzi
Chief Executive Officer at Northwell Direct
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Company data provided by crunchbase